your-mind: Command for Claude Code

.claude/commands/collect.md

collect is a command for Claude Code from funiq-lab/your-mind. It costs 11 tokens per session (1,173 once invoked), scanned A, original, MIT.

Um comando para recolher informações e organizá-las com etiquetas. Pode trabalhar com uma ligação, texto fornecido pelo utilizador e comentários pessoais.

In plain words
What is it for?
Serve para obter o título e um resumo de uma página, identificar o tipo de fonte e sugerir etiquetas para arquivamento.
Why use it?
Ajuda a transformar informações dispersas em registos classificados, mesmo quando o conteúdo vem de fontes diferentes.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is funiq-lab/your-mind's own configuration. It tells Claude Code how to work on your-mind itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything your-mind configures →

Reuse

Borrowing it

Nothing to install: this file belongs to funiq-lab/your-mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/funiq-lab/your-mind/main/.claude/commands/collect.md
Clone the repo
git clone --depth 1 https://github.com/funiq-lab/your-mind

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for collect

README.md
[![agentmods](https://agentmods.dev/badge/commands/funiq-lab/your-mind/collect/github.svg)](https://agentmods.dev/commands/funiq-lab/your-mind/collect)
Your own site
<a href="https://agentmods.dev/commands/funiq-lab/your-mind/collect"><img src="https://agentmods.dev/badge/commands/funiq-lab/your-mind/collect/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for collect

Your own site · 80×15
<a href="https://agentmods.dev/commands/funiq-lab/your-mind/collect"><img src="https://agentmods.dev/badge/commands/funiq-lab/your-mind/collect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,173 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00011 $0.01173
Opus 5.5 $0.00004 $0.00469
Sonnet 5.5 $0.00002 $0.00235
Haiku 4.5 $0.00001 $0.00117

Measured 2mo ago against content hash 407072d166fc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

collect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/commands/collect.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

资讯收集命令

用户提供了一条资讯,请按以下步骤处理。

输入解析

用户输入可能包含以下元素(灵活组合):

元素 识别方式 必需性
网址 以 http:// 或 https:// 开头 可选
内容 文字描述(无网址时必需) 条件必需
感想 用户的评论/思考 必需
标签 以 # 开头的词 可选

处理步骤

1. 解析输入

从用户消息中提取:

  • 网址:如有 URL,提取出来
  • 标签:如有 #开头 的词,提取为标签
  • 内容与感想:剩余文字,根据语义判断哪部分是内容描述,哪部分是个人感想

2. 获取内容(如有网址)

如果用户提供了网址,按以下顺序尝试获取内容:

方式一:WebFetch(首选)

使用 WebFetch 获取:

  • 文章标题
  • 主要内容摘要(3-5 个要点)
方式二:Playwright(备选)

如果 WebFetch 失败(返回错误、无法访问、内容为空),使用 Playwright 模拟浏览器访问:

1. 使用 mcp__playwright__browser_navigate 打开网址
2. 等待页面加载完成
3. 使用 mcp__playwright__browser_snapshot 获取页面内容
4. 从快照中提取标题和主要内容
5. 使用 mcp__playwright__browser_close 关闭浏览器

常见需要 Playwright 的网站:

  • X/Twitter (x.com, twitter.com)
  • 需要登录的社交媒体
  • 动态加载内容的 SPA 网站
  • 有反爬虫机制的网站
方式三:用户描述(兜底)

如果以上方式都失败,使用用户提供的内容描述作为摘要。

3. 判断来源类型

根据输入判断来源类型:

  • 有 URL → 网络文章
  • 提到书籍/阅读 → 书籍摘录
  • 提到播客/视频/听 → 播客/视频
  • 提到聊天/对话/朋友说 → 对话记录
  • 其他 → 个人观察

4. 智能打标签

如果用户没有提供标签,根据内容智能生成 2-4 个标签:

常用标签参考:

  • 技术:#AI #编程 #产品 #工具 #开源
  • 商业:#金融 #创业 #投资 #商业模式 #市场
  • 成长:#思维 #效率 #习惯 #认知 #学习
  • 生活:#健康 #阅读 #旅行 #生活方式

如果用户提供了标签,可以在此基础上补充建议(但以用户指定的为主)。

5. 确定归档文件

计算当前日期所属的周(周一到周日):

  • 文件名格式:YYYYMMDD-YYYYMMDD.md
  • 文件路径:news/YYYYMMDD-YYYYMMDD.md

6. 写入资讯

有链接格式:

## [标题](URL)

**标签**:#标签1 #标签2
**来源**:网络文章
**收录时间**:YYYY-MM-DD HH:mm

### 内容摘要

> 要点1
> 要点2
> 要点3

### 个人感想

{用户的感想}

---

无链接格式:

## 标题(根据内容生成简短标题)

**标签**:#标签1 #标签2
**来源**:{来源类型}
**收录时间**:YYYY-MM-DD HH:mm

### 内容

{用户提供的内容}

### 个人感想

{用户的感想}

---

7. 更新标签索引

检查 news/tags.md 是否存在:

  • 不存在则创建
  • 存在则更新

标签索引格式:

# 标签索引

## #AI
- [[20251223-20251229#标题1]]
- [[20251223-20251229#标题2]]

## #投资
- [[20251223-20251229#标题3]]

8. 确认反馈

完成后告知用户:

  • 资讯标题
  • 归档文件
  • 应用的标签
  • 简短概述(如从网页获取了内容)
  • 内容获取方式(WebFetch / Playwright / 用户描述)

注意事项

  • 周文件不存在时,先创建并添加头部
  • 新条目追加到文件末尾
  • 标签索引按字母/拼音排序
  • 尊重用户指定的标签,智能标签为补充
  • Playwright 访问后记得关闭浏览器,避免资源占用

Read the full file on GitHub · 165 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 165 lines · 11 tokens per session scan A 407072d166fc

Subscribe to this mod's changes

collect is a command published in the GitHub repository funiq-lab/your-mind (11 stars, last pushed 10mo ago), licensed MIT. It adds 11 tokens to every session and 1,173 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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collect compared with commands from other repositories

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