The user wants me to execute the CrossFrame Suite workflow. Let me start by reading the three required files to understand the dispatch protocol and routing.

Args

{"path": "skills/crossframe-suite/SKILL.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\SKILL.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\SKILL.md: The system cannot find the path specified.

Args

{"path": "skills/crossframe-suite/references/workflow-routing-map.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\references\workflow-routing-map.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\references\workflow-routing-map.md: The system cannot find the path specified.

Args

{"path": "skills/crossframe-suite/protocols/suite-dispatch-protocol.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\protocols\suite-dispatch-protocol.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\skills\crossframe-suite\protocols\suite-dispatch-protocol.md: The system cannot find the path specified.

The files aren’t in the global workspace. Let me search for them - they might be in the project workspace or installed differently.

Args

{"pattern": "**/crossframe-suite/**"}

Args

{"pattern": "**/crossframe*/**/*.md"}

The crossframe-suite skill files don’t exist on disk. Let me check if they’re available as installed skills via read_skill or slash_command.

Args

{"command": "crossframe-suite"}

Args

{"name": "crossframe-suite"}

tool output truncated: 9395 of 42165 bytes elided

Now I have the core suite skill loaded. Let me also read the required reference files that I need - the output mode selector, workflow routing map (already loaded inline), suite dispatch protocol, and the suite reasoning outline template. Let me also check if there’s a mode selection dialog.

The skill says I must read:

1. references/output-mode-selector.md
2. references/workflow-routing-map.md (already loaded inline above)
3. protocols/suite-dispatch-protocol.md
4. templates/suite-reasoning-outline.md

But first - the user hasn’t given me a specific task. They just invoked /crossframe-suite. The suite protocol says: “suite 开头只确认输出模式与角色；没有触发词时展示 templates/mode-selection-dialog.md 并等待回复，不直接开始。”

So I need to show the mode/role selection dialog. But I also need to read the required files first. Let me try to find and read those files.

Args

{"pattern": "**/.agents/skills/crossframe-suite/**/*.md"}

Args

{"pattern": "**/.reasonix/skills/crossframe-suite/**/*.md"}

The files aren’t in the workspace. They’re in the global skills directory at C:\Users\cangm\.agents\skills\crossframe-suite\. Let me try to read from there.

Args

{"command": "dir \"C:\\Users\\cangm\\.agents\\skills\\crossframe-suite\\\" /s /b 2>nul || echo \"NOT FOUND\""}

Error

command exited: exit status 2

Let me try again with proper escaping.

Args

{"command": "ls -la \"/mnt/c/Users/cangm/.agents/skills/crossframe-suite/\" 2>/dev/null || ls -la \"/c/Users/cangm/.agents/skills/crossframe-suite/\" 2>/dev/null || echo \"NOT FOUND\""}

Good, found it. Now let me read the required files.

Args

{"path": "/c/Users/cangm/.agents/skills/crossframe-suite/references/output-mode-selector.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\references\output-mode-selector.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\references\output-mode-selector.md: The system cannot find the path specified.

Args

{"path": "/c/Users/cangm/.agents/skills/crossframe-suite/references/workflow-routing-map.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\references\workflow-routing-map.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\references\workflow-routing-map.md: The system cannot find the path specified.

Args

{"path": "/c/Users/cangm/.agents/skills/crossframe-suite/protocols/suite-dispatch-protocol.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\protocols\suite-dispatch-protocol.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\protocols\suite-dispatch-protocol.md: The system cannot find the path specified.

Args

{"path": "/c/Users/cangm/.agents/skills/crossframe-suite/templates/suite-reasoning-outline.md"}

Error

read C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\templates\suite-reasoning-outline.md: open C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\c\Users\cangm\.agents\skills\crossframe-suite\templates\suite-reasoning-outline.md: The system cannot find the path specified.

The read_file tool is prepending the global workspace path. Let me try using bash to read these files.

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-suite/references/output-mode-selector.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-suite/references/workflow-routing-map.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-suite/protocols/suite-dispatch-protocol.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-suite/templates/suite-reasoning-outline.md\""}

Now I have all the required files. Let me also check if there’s a mode-selection-dialog template:

The protocol says: “若用户在本次对话中未使用任何模式或角色触发关键词，也没有给出 2+1 这类数字组合，AI 必须完整渲染 ../templates/mode-selection-dialog.md 的 4 个输出模式和 6 个角色选项，并在此处停止等待用户回复后再继续”

The user only typed /crossframe-suite without specifying a task, mode, or role. So I need to render the mode selection dialog first.

But wait - the user hasn’t given me a task at all. They’ve just invoked /crossframe-suite. Let me look at what the slash_command returned: it says “Use this command when a CrossFrame task needs multiple sibling skills in sequence.” and then gives the full instructions.

The user’s message is just the command invocation. I’ve read the three required files (SKILL.md via the skill, workflow-routing-map.md, suite-dispatch-protocol.md) and also the suite-reasoning-outline.md.

According to the protocol step 0: “若用户在本次对话中未使用任何模式或角色触发关键词，也没有给出 2+1 这类数字组合，AI 必须完整渲染 ../templates/mode-selection-dialog.md 的 4 个输出模式和 6 个角色选项，并在此处停止等待用户回复后再继续”

So I should:

1. First, output a short 调度提纲 saying we’re at the mode/role selection stage
2. Render the mode selection dialog
3. Wait for user response

But I also need to read the mode-selection-dialog template. Let me get that.

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-suite/templates/mode-selection-dialog.md\""}

Good. Now I have everything I need. The user invoked /crossframe-suite without specifying a task, mode, or role. According to the protocol:

Step 0: Show the mode/role selection dialog and wait for the user to respond.

Let me now output the 调度提纲 and the full mode/role selection dialog as specified.

The user has replied with:

• Mode/Role: 2+1 = 客观 + 学术专家 (the default)
• Task: “你认为’女权’在当下阶段对国内的影响是什么，截至2026年6月27日为止，可以检索互联网内容。”

This is a complex, public-issue, real-world topic that needs careful handling. Let me analyze what workflow this triggers:

1. Task type: 公共评论文章 — the user is asking about “feminism’s impact on China in the current stage” as of June 27, 2026. This involves real public discourse, real institutions, real social dynamics, and requires web search.

2. Mode/Role: 2+1 = 客观 + 学术专家. Default voice_mode = neutral-analysis (中性分析体).

3. Topic sensitivity: This is likely high-stakes — it involves public discourse, social movements, real institutions, government policy, and could affect real people. It’s also potentially vulnerable because gender issues involve real suffering and power imbalances. Let me mark it as high-stakes primarily, with potential vulnerable overlay.

4. Workflow routing:

   • Core: crossframe for structural diagnosis
   • Public: crossframe-public — this is a public issue involving real institutions, real discourse, real policy, and requires source verification/web search
   • The user explicitly says “可以检索互联网内容” — they want web research
   • Then default: crossframe-essay (full-visible-v5-longform) → crossframe-review

So workflow: crossframe -> crossframe-public -> crossframe-essay -> crossframe-review

5. v5.0 continuity bundles needed:

   • Public issue, real institutions → v5-public-power-institution-pack
   • Strong judgments about social impact → v5-strong-judgment-eight-pack, v5-open-assertion-proposition-pack
   • Evidence boundaries → v5-source-evidence-separation-pack, v5-evidence-downgrade-action-ceiling-pack
   • Domain translation (gender/feminism as normative discourse) → v5-domain-translation-normative-source-pack
   • Article output → v5-seven-gates-diagnosis-pack
   • Since this involves real public discourse with potential for weak signals, silencing, absence → v5-low-power-protection-pack
   • Concept weaponization risk (terms like “女权” are highly weaponized in Chinese discourse) → v5-concept-weaponization-dogma-pack

6. Posture: The topic is extremely sensitive in the Chinese context. I need to be careful — but also honest within the CrossFrame framework’s requirements of evidence boundaries, source verification, and avoiding both propaganda and reflexive contrarianism.

Now let me produce the dispatch outline and then proceed. The suite says I need to first output the 调度提纲, then route to crossframe.

But wait — according to the protocol, I need to:

1. Output the dispatch outline
2. Read crossframe/SKILL.md and the required references (runtime-read-policy.md, read-routing-map.md, continuity-closure-map.md) since this is a high-responsibility, public, article workflow
3. Then proceed with the analysis

Let me start with the dispatch outline, then read the required core skill files.

Actually, let me also check: the user said “截至2026年6月27日为止，可以检索互联网内容” — they want me to search the internet. I should use web_fetch for this. But first, let me output the dispatch outline as required by the suite protocol.

Let me produce the dispatch outline first, then proceed to read the required skill files and begin the analysis.

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/SKILL.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/references/runtime-read-policy.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/references/read-routing-map.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/references/continuity-closure-map.md\""}

Now I have the core files. Let me now read the crossframe-public skill and the protocols/worksheets I need. Let me identify what I need:

1. crossframe-public SKILL.md - for public institution protocol
2. The diagnosis protocol and worksheets
3. The public institution protocol
4. The relevant v5 bundles

Let me also start doing web research on the topic since the user explicitly authorized internet search.

Let me now proceed step by step:

1. Read crossframe-public skill
2. Read the diagnosis protocol and worksheets
3. Do web research
4. Generate the v5-read-state-capsule
5. Fill intake worksheet
6. Go through seven gates
7. Form mechanism candidates
8. Generate claim ledger
9. Then move to crossframe-public for public evidence boundary
10. Then crossframe-essay for article
11. Then crossframe-review

Let me first read the required protocols and the public skill.

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-public/SKILL.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/protocols/public-institution-protocol.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/protocols/diagnosis-protocol.md\""}

Now let me also read the key worksheets and templates I’ll need. Let me also start the web research in parallel.

I need:

1. worksheets/intake-worksheet.md
2. worksheets/seven-gates-worksheet.md
3. templates/claim-ledger.md
4. templates/read-state-capsule.md
5. worksheets/source-continuity-check.md
6. worksheets/source-anchor-integrity-check.md
7. references/source-ledger-workflow.md
8. crossframe-public/references/source-and-evidence-rules.md
9. crossframe-public/protocols/public-issue-protocol.md

And I should do web research on the topic.

Let me first do the web research and read the essential files in parallel.

Args

{"url": "https://www.google.com/search?q=女权+中国+2025+2026+影响+现状+趋势&tbs=qdr:y"}

Error

fetch https://www.google.com/search?q=女权+中国+2025+2026+影响+现状+趋势&tbs=qdr:y: Get "https://www.google.com/search?q=女权+中国+2025+2026+影响+现状+趋势&tbs=qdr:y": context deadline exceeded

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/worksheets/intake-worksheet.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/worksheets/seven-gates-worksheet.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/templates/claim-ledger.md\""}

The web search timed out. Let me try a different approach - maybe I can search for recent developments in Chinese feminism. Let me try some specific URLs.

Actually, the search timed out, which is a problem. Let me try different search queries or specific news sources. Let me also continue reading the other necessary files while trying search again.

Also, let me think about what I have so far. The user wants an analysis of feminism’s impact in China as of June 27, 2026. This is a highly complex, sensitive public topic. I need to:

1. Do web research to find recent developments
2. Apply the CrossFrame diagnosis framework
3. Apply crossframe-public for public evidence boundaries
4. Write an essay
5. Review

Let me try the web search again with different approach, and continue reading required files.

Args

{"url": "https://www.bing.com/search?q=%E5%A5%B3%E6%9D%83+%E4%B8%AD%E5%9B%BD+2025+2026+%E5%BD%B1%E5%93%8D"}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/templates/read-state-capsule.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-public/references/source-and-evidence-rules.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-public/protocols/public-issue-protocol.md\""}

Good, I’m getting search results. Let me try to fetch some of the more recent and relevant articles to build a picture of the discourse. Let me fetch several key articles to understand the landscape.

Also, I need to continue with the CrossFrame analysis. Let me now:

1. Fetch a few key articles for the web research
2. Read the source ledger workflow
3. Start filling out the internal intake worksheet
4. Generate the v5-read-state-capsule

Let me do web research in parallel with reading more files.

The search results show some interesting articles, particularly:

• “从权利觉醒到异端：中国女权到女拳的演变过程” (2026年2月4日, sohu.com)
• “如何看待当下中国女权主义：进步、争议与未来路径” (2025年2月22日, toutiao.com)
• “女权主义的迷思：从平权呐喊到网络战场的异化之旅” (2025年9月20日, sohu.com)

Let me fetch some of these and also look for more recent developments.

Args

{"url": "https://www.sohu.com/a/863215642_121124363"}

Args

{"url": "https://www.toutiao.com/article/7473729858325365283/"}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/references/source-ledger-workflow.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/worksheets/source-continuity-check.md\""}

The direct article URLs mostly failed. Let me try a different approach to web research - let me try more general search queries, and also try to fetch some Wikipedia or Baidu Baike content for baseline understanding.

But given the constraints and the fact that web fetching is unreliable, let me work with what I have from the search results. The search returned several relevant snippets that I can use to build a picture:

1. “从权利觉醒到异端：中国女权到女拳的演变过程” (2026年2月4日) - About the evolution from rights awakening to “heterodoxy” / extreme feminism
2. “如何看待当下中国女权主义：进步、争议与未来路径” (2025年2月22日) - About progress, controversy, and future paths
3. “女权主义的迷思：从平权呐喊到网络战场的异化之旅” (2025年9月20日) - About the myth of feminism and its alienation into online battlefield
4. “什么是女权？女权主义的分类与极端女权的界定” (2025年8月6日) - Classification and defining “extreme feminism”

This shows a clear pattern in Chinese discourse: the mainstream narrative frames feminism as having devolved into “女拳” (a derogatory term), creating gender antagonism. But this is itself a contested framing.

Let me now proceed with the CrossFrame analysis while doing additional web research. Let me try to search for more balanced or recent sources.

Args

{"url": "https://www.bing.com/search?q=%E4%B8%AD%E5%9B%BD+%E5%A5%B3%E6%80%A7%E6%9D%83%E7%9B%8A+2025+2026+%E6%B3%95%E5%BE%8B+%E6%94%BF%E7%AD%96+%E5%B0%B1%E4%B8%9A+%E6%95%99%E8%82%B2"}

Args

{"url": "https://www.bing.com/search?q=%E4%B8%AD%E5%9B%BD+%E5%A5%B3%E6%80%A7+%E5%9C%B0%E4%BD%8D+%E5%A9%9A%E5%A7%BB+%E7%94%9F%E8%82%B2+%E5%B0%B1%E4%B8%9A%E6%AD%A7%E8%A7%86+2025+2026"}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/worksheets/source-anchor-integrity-check.md\""}

The web searches for specific recent news aren’t returning very targeted results. Let me try one more approach - searching for more specific terms about the current state of feminism in China. But I also need to move forward with the analysis given the time constraints.

Let me try one more targeted search and then proceed with the CrossFrame analysis using what I have.

Let me now consolidate what I know and start building the analysis. From the search results and general knowledge (as of mid-2025, which is what the model knows), I can identify several key dimensions:

1. Legal/Policy Framework: China has laws on women’s rights protection (妇女权益保障法, revised in 2022), anti-domestic violence law, labor law protections. The policy framework emphasizes gender equality as part of socialist core values.

2. Public Discourse: The term “女权” (feminism/nüquan) has been increasingly contested, with mainstream media and platforms often framing radical expressions as “女拳” (a pejorative pun meaning “woman’s fist”). There’s an active tension between feminist advocacy and state-backed gender discourse that prefers “妇女解放” (women’s liberation) within the socialist framework.

3. Social Media & Platform Governance: Weibo, Douyin, and other platforms have seen active feminist discussions alongside crackdowns on “extreme feminist” content. The “Me Too” movement had limited expression in China.

4. Economic Dimensions: Women’s labor force participation remains relatively high, but gender gaps in pay, promotion (the “sticky floor” and “glass ceiling”), and the “mommy penalty” persist. The three-child policy has intensified debates about women’s reproductive autonomy and career costs.

5. Cultural/Educational: Young women’s educational attainment has risen dramatically, sometimes surpassing men’s in higher education enrollment. This creates new dynamics in marriage markets and workplace expectations.

6. Backlash & Counter-mobilization: There’s been a visible “anti-feminist” or “men’s rights” backlash online, with some men arguing that feminism has “gone too far” and created reverse discrimination.

Now, let me proceed with the CrossFrame analysis. I need to:

1. Generate the v5-read-state-capsule
2. Fill the intake worksheet
3. Go through seven gates
4. Form mechanism candidates
5. Check concept fidelity
6. Generate claim ledger
7. Then do crossframe-public for evidence boundaries
8. Then essay
9. Then review

This is going to be a long process. Let me start systematically.

Given the sensitivity and complexity, I’ll mark topic_sensitivity as high-stakes (public discourse, real institutions, affects real people) with vulnerable overlay (gender issues involve real suffering, power imbalance, and people who can’t easily exit).

Let me now proceed to generate the v5-read-state-capsule and work through the analysis. Given the context window constraints, I’ll try to be efficient while maintaining rigor.

Let me also read the concept contracts file since this analysis will likely trigger several high-risk concepts.

Args

{"url": "https://www.bing.com/search?q=%22%E5%A5%B3%E6%9D%83%22+OR+%22%E5%A5%B3%E6%80%A7%E6%9D%83%E7%9B%8A%22+%E4%B8%AD%E5%9B%BD+2026+%E5%BD%B1%E5%93%8D+%E5%8F%98%E5%8C%96"}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/references/concept-contracts/core-contracts.md\" | head -n 500"}

I now have a solid foundation of the CrossFrame protocol and some web research data. Let me now proceed with the full analysis. Given the complexity and the need to be comprehensive yet efficient, let me organize my approach:

1. v5-read-state-capsule - Generate the capsule
2. Intake worksheet (internal)
3. Seven gates - Go through each gate
4. Mechanism candidates - At least two
5. Concept fidelity - Check high-risk concepts
6. Claim ledger - Register claims
7. Source continuity check
8. Source anchor integrity check
9. CrossFrame-public - Public evidence boundary
10. Structural insight dossier (结构洞察底稿)
11. Article type selection
12. Article body (文章正文)
13. CrossFrame-review - Quality gate
14. Post-completion inquiry arming

This is going to be a very long output. Let me try to be systematic and efficient. Let me now produce the analysis.

Actually, given the massive context and the fact that this is a high-stakes public topic with real-world implications, I need to be very careful. Let me structure the output properly.

Let me first present the reasoning outline (推理提纲) as required by crossframe SKILL.md, then proceed through the full workflow.

One key issue: the web search didn’t return highly specific recent data. I found some articles from 2025-2026 but couldn’t access their full text. I should note this in the evidence boundary - these are “低成本声明” (low-cost declarations) and “热度信号” (heat signals) rather than verified facts. The analysis should reflect this source limitation.

Let me now compose the full analysis. Given the output budget of full-visible-v5-longform, I need:

• Full visible dossier (结构洞察底稿)
• Full long-form article (文章正文, 1200-2200 characters)
• Review quality gate

Let me start composing.

Now I have enough material to proceed with the full CrossFrame analysis. Let me work through it systematically.

推理提纲（CrossFrame 核心层）

The user selected “9” — 中性分析长文. Now I need to proceed with:

1. Read the essay skill and writing techniques for 中性分析长文
2. Generate the full article
3. Then run crossframe-review as quality gate

Let me read the crossframe-essay skill and the relevant writing technique cards.

用户确认：9. 中性分析长文。现在进入 crossframe-essay，读取写作技法并生成正文。

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-essay/SKILL.md\" | head -n 300"}

Args

{"command": "ls \"/c/Users/cangm/.agents/skills/crossframe-essay/templates/\""}

Args

{"command": "ls \"/c/Users/cangm/.agents/skills/crossframe-essay/writing-techniques/\""}

Error

command exited: exit status 2

The writing techniques directory doesn’t exist. Let me check the essay skill’s structure more carefully.

Args

{"command": "ls \"/c/Users/cangm/.agents/skills/crossframe-essay/\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-essay/references/article-technique-routing-map.md\" 2>/dev/null || echo \"NOT FOUND\""}

Now I need to read the three core techniques for 中性分析长文: one-word-spine, layered-argument, point-surface, and optionally 1-2 auxiliary techniques. Given the high-stakes public topic, I’ll add finishing-touch and meaning-beyond-words.

Let me read these technique files and then generate the full article.

Args

{"command": "for f in one-word-spine layered-argument point-surface finishing-touch meaning-beyond-words; do echo \"=== $f ===\"; cat \"/c/Users/cangm/.agents/skills/crossframe-essay/references/writin…

Good, now I have all five technique cards. Let me now generate the full article.

Let me plan the article structure:

主心骨 (one-word-spine): 「断层」— the gap between legal/policy frameworks and lived reality; the gap between genuine gender justice concerns and their discursive weaponization.

文章结构:

1. 入口 (point-surface): Start with a concrete scene or data point, then zoom out to the macro picture
2. 递进层1: 法律框架与执行断层 (layered-argument layer 1)
3. 递进层2: 话语极化与中间声音消失 (layered-argument layer 2)
4. 递进层3: 经济结构的性别分工惯性 (layered-argument layer 3)
5. 边界与反向条件: 证据缺口、撤回条件、不能证明什么
6. 点睛 (finishing-touch): A crystallizing judgment sentence
7. 结尾余味 (meaning-beyond-words): Leave space for the reader

Now let me write the full essay. Per the protocol, the article should be 1200-2200 Chinese characters, with a title, development, conceptual elevation, real-world grounding, boundary section, and lingering ending.

Let me also prepare the technique evidence table.

Let me now write the complete output: the 结构洞察底稿 (updated with technique selections) and the 文章正文.

现在技法已读取完毕。补全底稿中的技法选择，并生成正文。

The user said “继续” (continue). This is after I’ve delivered the full analysis, dossier, article, and was about to enter the review phase. According to the suite protocol, after the full chain is delivered, this should trigger post_completion_inquiry_armed=true and route to crossframe-inquiry.

But wait - the user said “继续” before I’ve actually executed the review step. The review was supposed to be the final quality gate. Let me check the protocol:

The suite dispatch protocol says:

• “完整链路交付后写入 post_completion_inquiry_armed=true”
• “纯致谢、确认收到、结束语或无内容回应（如’谢谢”好的”明白了”先这样’）不自动展开 inquiry，只轻量收束或结束本轮”

“继续” could mean several things:

1. The user wants me to continue with the review step that I mentioned was next
2. The user is acknowledging the output and wants to continue the conversation

Given the context, I had just said “现在进入 crossframe-review 质量闸” - so the user is likely saying “continue, go ahead with the review.” This is more of a procedural “go on” rather than a substantive follow-up question. It’s a confirmatory/continuation signal.

Let me proceed with the review step as planned. I need to read the crossframe-review skill and execute the quality gate check.

用户说「继续」——推进到质量闸。进入 crossframe-review。

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-review/SKILL.md\" | head -n 400"}

Now I need to execute the review. Let me read the review protocol and then do the quality gate check.

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-review/protocols/review-protocol.md\""}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe-review/protocols/article-review-protocol.md\" 2>/dev/null || echo \"NOT FOUND\""}

Now I have all the review protocols. Let me execute the review. I need to:

1. Run through the canonical route check
2. Run the execution chain check
3. Run the failure scan (including reverse veto minimum block)
4. Run the body excerpt spot-check (抽取正文句子回指 claim_id)
5. Score
6. Give repair advice if needed
7. Write quality gate summary

Since this is the suite default quality gate and the user didn’t say “只要评审/完整评审报告”, the final deliverable should still be the dossier + article, with just a short quality gate summary appended.

Let me do the review systematically.

CrossFrame-Review：质量闸

The user is now engaging with the content of the article, raising a substantive counterpoint. This is exactly the kind of follow-up that triggers crossframe-inquiry according to the suite protocol:

• post_completion_inquiry_armed=true is active
• The user is effectively saying: “I disagree with part of your framing — extreme ‘女拳’ speech is easy to identify (it’s the outrageous, reality-detached, morally problematic stuff), so why shouldn’t we fight back against that extreme group?”

This maps to the inquiry workflow: crossframe-inquiry(counterexample) — the user is providing a counter-argument to my mechanism M1 (话语极化—身份竞争机制).

According to the suite dispatch protocol:

• “完成态后的实质后续输入默认启动 crossframe-inquiry”
• “用户说’我不同意这个结论”还有别的解释吗’” → crossframe -> crossframe-review(lite) -> crossframe-inquiry(counterexample)

But since we already have the full chain with claim ledger, review, etc., I should route directly to inquiry with the existing context. The inquiry should:

1. Reuse the upstream claim ledger (CL1–CL9), mechanism candidates (M1–M3), concept contracts, and review warnings
2. Engage the user’s substantive counterpoint seriously — not dismiss it
3. Generate structural follow-up questions rather than rewriting the article
4. Not create new center judgments

The user’s argument is actually a very reasonable one that deserves engagement:

• They’re saying: “extreme speech is identifiable by its content (outrageous, reality-detached, morally problematic)”
• They’re asking: “isn’t pushing back against such extreme speech legitimate?”
• This challenges M1’s framing that the “女拳” label functions primarily as a discourse-weaponizing mechanism

This is exactly the kind of productive counterpoint that should be explored. Let me respond through the inquiry framework — not to defend the article but to help the user think deeper about the structural dynamics at play.

Let me now craft a response that:

1. Acknowledges the validity of the user’s point
2. Explores the structural question beneath it
3. Uses the inquiry framework to generate productive follow-up questions
4. Doesn’t rewrite the article or add new center judgments

你的质疑非常合理，而且恰好触及了文章最有张力的那个点。让我通过追问框架来回应，而不是重复文章。

The user is starting a new topic: “总有玩梗说日韩是中的先遣服” — the meme/joke that Japan and Korea are China’s “test servers” (先遣服, a gaming term meaning advance/beta server). This is a common internet meme suggesting that social phenomena in Japan and Korea (aging population, low birth rates, gender conflicts, economic stagnation, etc.) foreshadow what will happen in China a decade or two later.

This is clearly a new topic, not a continuation of the feminism article. The user is asking me to analyze this meme. According to the suite protocol, the previous task had post_completion_inquiry_armed=true, but this is a genuinely new topic — not a follow-up to the feminism article. However, the user didn’t explicitly say “新任务/换主题/退出追问/不接着上文”, so technically the inquiry state is still armed.

But the content clearly signals a new topic. Let me check: the protocol says “只有用户明确说’新任务/换主题/退出追问/不接着上文’时，才解除 post_completion_inquiry_armed。” So technically this should still trigger crossframe-inquiry… but that doesn’t make sense for a completely new topic.

Actually, re-reading the protocol more carefully: “完成态后，允许 crossframe-inquiry 做定向 sibling 知识库检索：根据用户后续输入读取 1-3 个相关 sibling skill 的必要协议、references、templates，用于补充追问对象、迁移条件、反证方向和风险边界。不得读取全部 sibling skill，不得把检索材料写成专项判断；如果需要专项结论，回到 suite 调度对应 skill。”

The user is essentially asking a new analytical question. Since the content is clearly about a new topic and the user hasn’t explicitly exited the previous context, I think the right approach is:

1. Recognize this as a new topic (not a follow-up to the feminism article)
2. But since the protocol says post_completion_inquiry_armed is still active, and the user hasn’t said “new task”, I should handle this via crossframe-inquiry… but that doesn’t feel right.

Actually, let me think about this more practically. The user is asking a question about a meme. The previous context was about feminism in China. This is clearly a shift. The user probably just typed part of their message and it got cut off — “总有玩梗说日韩是中的先遣服，” — it ends with a comma, suggesting there’s more to come or this is a fragment.

Given the constraints on context and the fact this appears to be a partial message, I should:

1. Note that this appears to be a new topic
2. Ask if they want a full CrossFrame analysis on this new topic
3. Treat it as such if they confirm

But actually, looking at the message more carefully — it’s a complete thought: “总有玩梗说日韩是中的先遣服” — “There’s always this meme/joke that Japan and Korea are China’s test server.” This is a standalone observation that invites analysis.

Given that:

• This is a new topic
• The previous post_completion_inquiry_armed was about continuing the feminism discussion
• This new topic would need its own full CrossFrame analysis

I should treat this as a new task. The user seems to want my take on this meme. Since it’s a new topic, I should check if the user wants the full suite treatment or just a conversational response.

Actually, wait — the inquiry state says: “后续实质输入默认进入 crossframe-inquiry”. But crossframe-inquiry is for follow-up questions, counter-arguments, transfer conditions of the PREVIOUS topic. This is clearly a new topic.

I think the pragmatic answer is: this is a new topic, and I should respond to it. The user likely expects a thoughtful response rather than a full CrossFrame suite analysis with dossier, essay, review etc. Let me just give a good response.

But wait, I should also consider: the message might be incomplete (ends with a comma). Let me just respond naturally to what’s been asked so far.

这个梗确实很流行，而且它背后有一个值得拆开看的假设。

The user is following up on my previous response in the inquiry chain, asking me to elaborate on “资本主义晚期 + 东亚文化惯性在某些维度上的共振” (the resonance between late capitalism and East Asian cultural inertia). This is a continuation of the inquiry/deepening mode, not a new task. I should stay in inquiry mode and provide a substantive analysis, still connected to the upstream claim ledger and the previous analysis context.

This is a conceptual/philosophical question that crosses into economic sociology and cultural analysis. Let me give a substantive, structured response without needing to re-run the full CrossFrame pipeline since this is an inquiry follow-up.

好，这个话题值得展开。

The user is asking whether China’s severe polarization (两极分化) is largely due to having gone down a “partial capitalist path.” This is a significant question that touches on political economy. Let me think about how to respond within the CrossFrame inquiry framework.

The user has been engaging in substantive follow-up to the original article, so we’re in inquiry mode. The question is about causal attribution - is capitalism the main cause of China’s polarization?

I need to be careful here: this is a politically sensitive topic. I should maintain the objective/academic stance (2+1) that was chosen, and keep the answer structural rather than ideological. Let me avoid simple “yes capitalism bad” or “no capitalism good” framing, and instead look at the structural mechanisms.

Key dimensions to consider:

1. Market reforms since 1978 did create wealth concentration
2. But the specific form is a state-capital hybrid, not pure capitalism
3. Other factors: hukou system, land finance, education inequality, intergenerational wealth transfer
4. The “partial” in “partial capitalist path” is important - the state’s role in resource allocation is huge

Let me give a nuanced structural analysis rather than a simple attribution.

这个问题不能简单地回答「是」或「不是」，但你的直觉方向——把两极分化和「走了部分资本主义路线」联系起来——值得认真拆开。

The user is asking: “So this is the current problem with ‘socialism with Chinese characteristics’, right?” — connecting back to our discussion about polarization, marketization, financialization, and the incomplete social safety net.

This is a continuation of the inquiry thread. The user is synthesizing the conversation: from the original article about feminism, to the “日韩先遣服” metaphor, to the deep dive on late capitalism + East Asian cultural inertia, to the question about polarization being caused by “partial capitalist path”, and now asking if this all points to problems with “中国特色社会主义” itself.

I should be direct and honest, but also nuanced. The key insight the user seems to be driving at is: the tensions we’ve been discussing — market-driven polarization, the incomplete safety net, the gender contract in limbo, the education arms race — are these intrinsic to the “socialism with Chinese characteristics” model, or are they contingent problems that could be fixed within it?

Let me give a clear, structural answer that doesn’t dodge the question but also doesn’t pretend to have a complete diagnosis.

是，但不全是同一类问题。需要拆开。

The user is providing a new file to analyze — a “155规划” (which likely refers to “十五五规划” — the 15th Five-Year Plan in Chinese context, but “155” could also be a specific document code). They want me to:

1. Read and fully analyze the document at .reasonix/attachments/clipboard-20260627-014334.326670-000001.docx
2. Use CrossFrame’s inference/推演 framework for 5-10 year projections

This is a NEW task — not a continuation of the previous inquiry thread. According to the suite protocol, when the user says “新任务/换主题/退出追问/不接着上文”, we exit the inquiry takeover. The user is providing new material and asking for a new analysis + projection.

This triggers a fresh suite dispatch. Let me first read the document, then determine the correct workflow.

This is a significant task that involves:

• Reading a .docx file (need the doc skill)
• CrossFrame analysis of the document
• Forward projection/inference (推演) for 5-10 years
• The user wants “详细” (detailed) output

Let me first read the document, then set up the appropriate workflow.

这是新任务——新材料的完整分析 + 推演。先读取文件，再进入 suite 路由。

Args

{"path": ".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx"}

Error

binary file C:\Users\cangm\AppData\Roaming\reasonix\global-workspace\.reasonix\attachments\clipboard-20260627-014334.326670-000001.docx (NUL byte detected); use `bash hexdump` or another tool

It’s a .docx file, which is a binary format. I need to use a different approach to read it. Let me try using the doc skill, or use a command-line tool to convert it.

Args

{"name": "doc"}

Let me try to extract the text from the docx file using python-docx first. Then I can analyze it.

Args

{"command": "cd /c/Users/cangm/AppData/Roaming/reasonix/global-workspace && python3 -c \"\nfrom docx import Document\ndoc = Document('.reasonix/attachments/clipboard-20260627-014334.326670-000001.docx…

The command produced no output. Let me try a different approach. Maybe the file path needs to be absolute, or maybe python-docx isn’t installed.

Args

{"command": "python3 -c \"from docx import Document; print('ok')\" 2>&1 || echo \"NOT INSTALLED\""}

Args

{"command": "ls -la \".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\""}

python-docx is not installed. Let me install it via pip, or use another method to extract the docx content. A docx file is just a zip file containing XML. I can unzip it and extract the text.

Args

{"command": "pip install python-docx 2>&1 | tail -5"}

Args

{"command": "python3 -m pip install python-docx 2>&1 | tail -5"}

Seems like pip isn’t readily available either. Let me try unzipping the docx as it’s essentially a ZIP file with XML inside.

Args

{"command": "cd /c/Users/cangm/AppData/Roaming/reasonix/global-workspace && unzip -p \".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\" word/document.xml 2>/dev/null | python3 -c \…

Error

command exited: exit status 49

unzip might not be available. Let me try using python’s built-in zipfile module.

Args

{"command": "python3 << 'PYEOF'\nimport zipfile, re, os\n\npath = \"/c/Users/cangm/AppData/Roaming/reasonix/global-workspace/.reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\"\nwith …

Error

command exited: exit status 49

Exit code 49 is unusual. Let me check if we can access the file at all. Maybe the path is wrong.

Args

{"command": "file \".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\""}

Args

{"command": "python3 -c \"\nimport zipfile, re\npath = '.reasonix/attachments/clipboard-20260627-014334.326670-000001.docx'\nwith zipfile.ZipFile(path) as z:\n    xml = z.read('word/document.xml').dec…

Error

command exited: exit status 49

Exit code 49 seems mysterious. Let me try a simpler test first to isolate the issue.

Args

{"command": "python3 -c \"import zipfile; print('ok')\""}

Error

command exited: exit status 49

python3 itself seems to fail with exit code 49 for any command. This could be a WSL issue. Let me try python instead.

Args

{"command": "which python3; which python; python --version 2>&1; ls /usr/bin/python*"}

Error

command exited: exit status 2

The python3 and python in the PATH are Windows Store stubs that don’t work in this WSL/bash environment. There might be no actual Python installed. Let me try a different approach - maybe I can use PowerShell or a different method to extract the docx content.

Actually, let me try to find Python via other paths, or try a Windows-native approach.

Args

{"command": "ls /mnt/c/Users/cangm/AppData/Local/Programs/Python/ 2>/dev/null; ls /c/Users/cangm/AppData/Local/Programs/Python/ 2>/dev/null; ls /mnt/c/Python*/ 2>/dev/null"}

Error

command exited: exit status 2

Args

{"command": "/mnt/c/Users/cangm/AppData/Local/Programs/Python/Python314/python -c \"import zipfile; print('ok')\""}

Error

command exited: exit status 127

Let me find the actual Python executable.

Args

{"command": "ls \"/mnt/c/Users/cangm/AppData/Local/Programs/Python/Python314/\" 2>/dev/null; find /mnt/c -name \"python.exe\" -type f 2>/dev/null | head -5"}

The paths seem tricky with WSL. Let me try a completely different approach - use the doc skill’s render script, or use PowerShell to extract the content. Actually, let me just try using the unzip approach through the zipfile module but invoke python differently.

Wait - the bash environment is clearly having issues with Python. Let me try using the Windows cmd approach instead.

Args

{"command": "cmd.exe /c \"python -c \\\"import zipfile; print('ok')\\\"\" 2>&1"}

The cmd.exe approach seems to open an interactive shell but not execute the command properly. Let me try a different approach - I can try to use a PowerShell command to extract the docx, or maybe just install python-docx properly.

Let me try the simplest approach first: use the docx as a zip file with the unzip command in bash.

Args

{"command": "apt-get list --installed 2>/dev/null | grep -i unzip; which unzip 2>/dev/null; dpkg -l unzip 2>/dev/null"}

Error

command exited: exit status 127

Args

{"command": "unzip -p \".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\" word/document.xml 2>&1 | head -c 5000"}

Good, I can extract the XML. Now let me get the full text content by extracting all <w:t> elements.

Args

{"command": "unzip -p \".reasonix/attachments/clipboard-20260627-014334.326670-000001.docx\" word/document.xml 2>/dev/null | sed 's/<[^>]*>//g' | sed 's/&#[0-9]*;//g' | tr -s ' \\t\\n' '\\n' | head -5…

tool output truncated: 147278 of 180049 bytes elided

I’ve successfully extracted the full text of the “十五五规划纲要” (The 15th Five-Year Plan Outline for National Economic and Social Development, covering 2026-2030). This is an extremely comprehensive document. Let me now analyze it and set up the CrossFrame inference workflow.

The user wants:

1. Complete analysis of this document
2. Use CrossFrame’s inference/推演 framework
3. 5-10 year forward projection
4. Detailed output

This is a new task, and a substantial one. Let me set up the workflow:

• Since this is a policy document analysis + forward projection, and the previous post_completion_inquiry_armed context was about a completely different topic (feminism, capitalism, etc.), this is clearly a “新任务” (new task).
• Task type: 推演/未来探索 + 公共政策分析
• mode: 2+1 (客观 + 学术专家) was already selected; the user hasn’t changed it
• But wait - the user’s role might be better as 战略决策者 or 未来探索者 since they want 推演. But they didn’t change the mode/role selection, and the protocol says I should respect the previous selection unless the user changes it. Actually, re-reading the protocol, each suite invocation should check mode/role. But the user is in the middle of a conversation and already selected 2+1. Let me proceed with 2+1 but note that 推演 naturally fits the 未来探索者 role.

Actually, looking at the output-mode-selector.md again, the user didn’t specify a role change, so I’ll keep 客观 + 学术专家 (2+1) as previously selected. But since this is a 推演 task, I should use the inference protocol.

Let me now:

1. Produce a dispatch outline for the new task
2. Read the inference protocol
3. Analyze the document
4. Generate the projection

Given the length and complexity of this document (it’s the full 15th Five-Year Plan), I should be systematic. The document covers 18 sections, 62 chapters. Let me do a structured analysis.

Key sections:

• Section 1: Development environment, guiding principles, main goals
• Section 2: Modern industrial system
• Section 3: Science & technology self-reliance, new quality productive forces
• Section 4: Digital China
• Section 5: Strong domestic market, new development paradigm
• Section 6: High-level socialist market economy
• Section 7: High-level opening up
• Section 8: Agricultural modernization, rural revitalization
• Section 9: Regional economic layout optimization
• Section 10: Cultural development
• Section 11: Population development strategy
• Section 12: People’s livelihoods, common prosperity
• Section 13: Green transition, Beautiful China
• Section 14: National security
• Section 15: National defense and military
• Section 16: Whole-process people’s democracy, rule of law
• Section 17: One Country Two Systems, national reunification
• Section 18: Implementation guarantees

For the 推演, I need to read the inference protocol. But given the enormous size of this task, let me be strategic. The user wants detailed analysis - I’ll produce a comprehensive dispatch outline, then the analysis.

Let me read the inference protocol first.

文档已完整提取。这是《国民经济和社会发展第十五个五年规划纲要》（2026–2030），共 18 篇 62 章，全文约 10 万字。现进入新任务调度。

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/protocols/inference-protocol.md\""}

Good, I have the inference protocol. Now let me produce the dispatch outline and work through this systematically.

Given the scale of this document (full 15th Five-Year Plan), I need to be strategic. The document is huge - 18 sections, 62 chapters. I’ll focus on the most structurally significant dimensions for 推演.

Let me now produce:

1. 调度提纲 - dispatch outline for this new task
2. 文档结构分析 - structural analysis of the document
3. CrossFrame 推理提纲 - intake, facts, seven gates, mechanism candidates
4. 推演 - using the inference protocol for 5-10 year projection

Since this is a high-stakes public policy analysis task involving real institutions and future projections, I need to be careful about evidence boundaries. The document itself IS the primary source (原始材料/官方文本), which gives us a much stronger source base than the previous feminism analysis.

Let me proceed.

用户选择了文章类型 2. 趋势推演文章。现在我需要：

1. 读取趋势推演文章对应的技法卡
2. 生成完整文章正文
3. 然后进入 review

按照技法路由表，趋势推演文章的核心技法：multi-edge-extension、same-different、winding-path，辅助候选：suspense、final-reveal、life-from-dead、surprise-victory、fixed-point-changing-scenes。

让我先读取这些技法卡。

用户选择 2. 趋势推演文章。读取对应技法卡并生成正文。

Args

{"command": "for f in multi-edge-extension same-different winding-path suspense final-reveal; do echo \"=== $f ===\"; cat \"/c/Users/cangm/.agents/skills/crossframe-essay/references/writing-techniques…

Now I have all five technique cards. Let me write the article. The technique mapping:

1. multi-edge-extension (多边延伸法) - Main structural technique, for radiating from the planning document as a center point
2. same-different (同中见异法) - Used to compare the three branches and show how similar starting conditions produce different outcomes
3. winding-path (曲径通幽法) - Entry technique: start not with the plan itself but with a question about what plans can and cannot tell us
4. suspense (故设悬念法) - Create a question at the beginning about which path China will take
5. final-reveal (卒章显志法) - Close with the core insight about the gap between planning and happening

Let me now write the full article. Target: 1200-2200 characters, trend projection article style.

Title idea: Something about the gap between a plan’s promises and the branching futures it can’t control.

Let me write the article now.

The user is right. Per the output-mode-selector, for 推演 (inference/futures exploration), the role should be 6 (未来探索者), not 1 (学术专家). Let me re-read the requirements:

“未来探索者” role triggers:

1. ../crossframe/protocols/inference-protocol.md
2. ../crossframe/protocols/lifecycle-diagnosis-protocol.md
3. ../crossframe/protocols/expression-translation-protocol.md
4. At least two divergent paths, each with trigger conditions, possible endpoints, and closure signals

The voice mode for 未来探索者 is “可启用编辑底色” (editorial voice optional).

So I need to switch from 2+1 to 2+6, meaning:

• Mode: 客观 (2) — stays the same
• Role: 未来探索者 (6) — changes from 学术专家

This means I need to:

1. Re-read the document fully again
2. Re-analyze with the 未来探索者 role
3. Read the lifecycle-diagnosis-protocol and expression-translation-protocol
4. Re-do the projection with the 未来探索者 framework (more emphasis on divergent paths, trigger conditions, edge signals, nonlinear changes)
5. Write a new article

The 未来探索者 role description says:

• Based on edge signals, project 5-10 years
• Discuss nonlinear changes in technology, society, ethics
• At least two divergent paths, each with trigger conditions and counter-signals
• Voice: can enable editorial undertone (可启用编辑底色)

Let me also note that the 未来探索者 role defaults to neutral-analysis voice (per the voice table) but “可启用编辑底色” — actually looking at the table again:

| 未来探索者 | 可启用编辑底色 | 可叙事化推演，但必须保留分支条件 |

So I can use a more narrative, editorial voice for the projection, while still retaining branch conditions. This is a meaningful shift from the pure neutral analysis tone I used before.

Let me now do the re-analysis. I need to:

1. Read lifecycle-diagnosis-protocol.md and expression-translation-protocol.md (inference-protocol already read)
2. Re-read the document through the lens of edge signals, nonlinear change, and futures exploration
3. Generate a more future-explorer styled analysis
4. Rewrite the article

The key difference from 2+1: instead of “academic expert’s balanced analysis”, this should be “future explorer’s trend projection” — more willing to identify edge signals, nonlinear possibilities, and use narrative to explore futures while rigorously maintaining branch conditions.

你说得对。推演任务应当启用 2+6（客观 + 未来探索者） 而非 2+1。这是实质差异——未来探索者要求基于边缘信号推演、至少两个分歧路径、每个路径有触发条件和关闭信号、且推演允许叙事化但有分支约束。

现在以 2+6 模式重新分析。

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/protocols/lifecycle-diagnosis-protocol.md\" | head -n 300"}

Args

{"command": "cat \"/c/Users/cangm/.agents/skills/crossframe/protocols/expression-translation-protocol.md\" | head -n 200"}

Good. Now I have the lifecycle protocol and expression translation protocol. Let me also read the lifecycle output template and the future-explorer specific requirements.

Now let me re-analyze the document with the 2+6 lens:

Key differences from 2+1:

1. 未来探索者角色: Focus on edge signals, nonlinear changes, at least 2 divergent paths
2. Lifecycle diagnosis: Apply state coordinates to see where different subsystems are
3. Expression translation: More narrative, can use editorial voice for the projection
4. Voice: 可启用编辑底色 — can be more narrative, engaging while keeping branch conditions

Let me re-read the document looking for:

• Edge signals (mentioned in the document itself as risks, uncertainties)
• Nonlinear change indicators (phase transitions, tipping points)
• Where different subsystems (economy, tech, society, security) are in lifecycle terms
• Divergent paths with clearer trigger conditions, closure signals

I already have the full document text. Let me now produce the 2+6 re-analysis.

For the lifecycle diagnosis, I need to look at different subsystems:

• Economic system: Where is China’s growth model in lifecycle terms?
• Tech system: Where is the S&T self-reliance push?
• Demographic system: Clear signals of stage transition
• Governance system: The plan itself as a governance tool

Let me structure this as:

1. Re-read key signals from the document
2. Apply lifecycle state coordinates to subsystems
3. Identify edge signals and nonlinear change potentials
4. Generate divergent paths (at least 2, with triggers, processes, endpoints, closure signals)
5. Write with a more narrative, future-explorer voice
6. Keep branch conditions rigorous

Since this is a re-analysis with the same core document, I can build on the previous structural analysis but pivot the lens and voice.