Install
$ agentstack add skill-quzhi-ai-content-intake-router-content-intake-router ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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
- 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-skillfirst 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-skillonly 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.
- 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
- 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.
- 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.
- Author: quzhi-ai
- Source: quzhi-ai/content-intake-router
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.