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SKILL verified MIT Self-run

Content Intake Router

skill-quzhi-ai-content-intake-router-content-intake-router · by quzhi-ai

Use when the user forwards or mentions an article, video, podcast, thread, screenshot, document, meeting record, report, book excerpt, or any external content and wants to decide whether they should personally read/watch/listen, let the agent process it, or use a human-agent co-reading workflow. Triggers include "这个内容我自己看还是让 agent 看", "帮我判断要不要亲自读", "内容输入路由", "信息输入处理输出", "这篇值不值得我看", "帮我先路由一下", and…

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Install

$ agentstack add skill-quzhi-ai-content-intake-router-content-intake-router

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Content Intake Router

Core Principle

Route content by asking: does this need to enter the user's first-order judgment system?

Use the agent for information compression, retrieval, comparison, extraction, and action conversion. Keep the user's own attention for value judgment, taste, strategic intuition, emotional resonance, and identity-shaping learning.

Do not start by summarizing unless the user explicitly asks for a direct summary. First decide the route.

Intake Workflow

  1. Fetch source material before routing.
  • For any external URL, social post, article, video, podcast, web page, Feishu document/minutes link, or forwarded link, use fetch-skill first to obtain the original text, transcript, clean Markdown, or structured content before making a routing judgment.
  • Do not route from a title, preview card, URL slug, or user hunch when the original can be fetched.
  • If the user provides a local attachment, screenshot, pasted transcript, or local file, read that source directly; use fetch-skill only when extra external retrieval is needed.
  • If fetch fails or access is blocked, state what is missing, route from the available fragments, and mark the confidence as limited.
  • For long content, inspect the structure and representative sections before routing.
  1. Identify the content's true function.
  • News/update
  • Tool/tutorial
  • Method/framework
  • Strategic judgment
  • Taste/aesthetic/expression sample
  • Emotional/values/person-shaping material
  • Current-project evidence
  1. Choose one of three routes:
  • AGENT代读: Agent reads and converts into summary, decision, action, or archive.
  • 人机共读: Agent pre-reads, selects high-value original fragments, user reads only those fragments, then user reaction is turned into judgment/action.
  • 本人亲读: User should personally read/watch/listen because the original experience matters.
  1. Produce the routing result before any deep processing.

Fetch Contract

When content acquisition is required, the default sequence is:

fetch-skill → source inspection → route decision → optional summary / actions

Use the fetched original as the evidence base for 亲读指数, routing reasons, and recommended next output. For video or audio, prefer original transcript over platform description. For X/Twitter, long articles, YouTube, WeChat articles, and ordinary web pages, rely on fetch-skill's URL-type detection and fallback chain.

Only skip fetch-skill when the complete source has already been provided inside the conversation or as a local attachment.

Routing Rubric

Use AGENT代读 when most signals are true:

  • The content is mainly information, news, procedures, prices, feature changes, or tool usage.
  • The user's goal is to know "what it says", "whether it matters", "what to do", or "which option is better".
  • The content is replaceable; missing the original style or rhythm has little cost.
  • The likely output is a checklist, comparison, digest, note, task, or project artifact.

Use 人机共读 when most signals are true:

  • The content may affect the user's current projects or evolving judgment, but full reading is not obviously necessary.
  • It contains a method, framework, argument, or example that may connect with the user's work.
  • The user has a hunch that "this seems important" but cannot yet say why.
  • The best workflow is: agent compresses, user reads selected original fragments, then agent crystallizes the user's reaction.

Use 本人亲读 when any strong signal is true:

  • The content may change the user's long-term judgment framework, strategy, values, or priorities.
  • The user wants to learn the author's expression, taste, structure, tone, or way of thinking.
  • The original wording, narrative rhythm, emotional force, or intellectual discomfort is part of the value.
  • The topic is tightly coupled to a core project, such as AI coach, personal operating system, organization control tower, business strategy, or content IP.
  • The user says they feel strongly hit, excited, uneasy, resistant, or "说不清但觉得重要".

Personal Reading Score

Always assign 亲读指数 from 0 to 5:

  • 0: No need to read. Agent can ignore or archive only.
  • 1: Agent summary is enough.
  • 2: Agent should read and extract actions; user only sees conclusion.
  • 3: Human-agent co-reading. User should read selected fragments.
  • 4: User should personally read the key sections.
  • 5: User should personally read the whole piece or watch/listen to the full original.

Required Output Format

Use concise Chinese output:

路由结论:AGENT代读 / 人机共读 / 本人亲读
亲读指数:0-5

1. 这份内容的本质
...

2. 为什么这样路由
...

3. 如果您不亲自读,会错过什么
...

4. 推荐处理方式
...

5. 下一步输出
...

For AGENT代读, include:

  • 3-7 条核心结论
  • 与用户当前项目/问题的关系
  • 可执行动作
  • 是否值得进入长期记忆、项目日志、待办、选题库,或仅临时参考

For 人机共读, include:

  • 3-5 个最值得亲自看的原文片段或时间点
  • 每个片段为什么值得用户亲自看
  • 用户读完后要回答的 1-3 个问题
  • 暂缓最终结论,等用户反馈后再沉淀判断

For 本人亲读, include:

  • 亲读范围:全文 / 重点章节 / 具体时间段
  • 阅读时要带着的问题
  • 不建议先看 agent 摘要的原因
  • 读完后让 agent 帮用户做的沉淀动作

Output Routing

After route selection, decide what the content should become:

  • 不处理: 噪音或低价值内容。
  • 临时摘要: 只用于当下理解。
  • 行动清单: 变成任务、检查项、采购、验证步骤。
  • 项目输入: 进入具体项目的 PRD、项目日志、handoff、研究材料。
  • 长期判断: 进入用户的判断框架或原则。
  • 内容素材: 进入文章、朋友圈、小红书、演讲或课程素材库。
  • 亲读任务: 提醒用户亲自读指定片段,并等待主观反应。

Do not claim that something has been written to memory, logs, docs, or task systems unless the user explicitly asked for that write action and it has actually been completed.

Anti-Patterns

  • Do not treat every forwarded content item as worth reading.
  • Do not summarize first and route second.
  • Do not overuse 本人亲读; user attention is scarce.
  • Do not overuse AGENT代读; some content trains judgment only through direct exposure.
  • Do not confuse "important information" with "important experience".
  • Do not replace the user's reaction with the agent's interpretation.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.