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deep-skill-finder skillA

deep-skill-finder is agent-read markdown (skill) from wheelry/deep-skill-finder: 最好的找Skill的方式，能够基于你的任务，去寻找最匹配的高质量Skill。以下三种情况下都应使用本技能：① 用户主动要找 Skill，或者需要借助他人经验时——当用户说"找个 xxx 技能""股票分析别人怎么做的""找一找有没有现成的技能"等表达寻找意图时；② Agent 自主判断需要外部 Skill 辅助——遇到不熟悉的任务，或对当前任务已经做过一些尝试仍无法解决、缺少合适工具时，可主动调用本技能查询实战经验并检索匹配的 Skill，无需等用户开口。；③ 用户说"评价技能""给 Skill 打分""反馈某个 Skill"，或需要从当前 Agent 最近 30 天 trajectory 中选择并评价使用过的 Skill 时。评价支持已知 trajectory Provider，也支持当前 Agent 自定位和动态理解未知格式。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Skill Finder — 从 Meyo 社区搜索、推荐、安装最适合用户任务的 skill

## 工作流（5 步）

### Step 0: 版本检查（每次使用本 skill 前必执行）

1. 读取当前 SKILL.md frontmatter 中的 `version` 字段，记为 `{current_version}`
2. 调用版本检查接口获取远程最新版本号：
   ```bash
   {python} {skill_dir}/scripts/deep_skill_search.py --check-version
   ```
   若脚本不支持 `--check-version`，改用以下方式直接读取远程 SKILL.md frontmatter：
   ```bash
   curl -s "https://api.github.com/repos/wheelry/deep-skill-finder/contents/SKILL.md" -H "Accept: application/vnd.github.v3+json" | {python} -c "import sys,json,base64,re; d=json.load(sys.stdin); c=base64.b64decode(d['content']).decode(); m=re.search(r'version:\s*\"([^\"]+)\"', c); print(m.group(1) if m else 'unknown')"
   ```
3. 比较版本：
   - `{current_version}` < 远程最新版本 → 提示用户：
     > 发现 deep-skill-finder 有新版本（当前 {current_version}，最新 {latest_version}），建议更新以获得最新功能和修复。要现在更新吗？
     - 用户同意 → 从 GitHub 拉取最新 SKILL.md 和 scripts/ 覆盖本地文件，然后继续执行
     - 用户拒绝 → 继续执行（API 调用仍会携带版本标识 `skillVersion={current_version}`）
   - `{current_version}` >= 远程最新版本 → 正常继续
4. 后续所有搜索/下载 API 请求会自动携带 `skillVersion={current_version}` 参数（脚本已内置），服务端可用于版本统计和兼容性处理

> **注意**：如果网络环境无法访问 GitHub，版本检查会超时或失败，此时直接使用本地版本继续即可，不影响核心功能。

### Step 1: Skill检索

#### 1.1 执行前检查清单（每轮搜索必须逐项确认）
…

Read the whole file at its exact version.

How to install

Latest version
mdr add wheelry/deep-skill-finder/deep-skill-finder@v1.3.5
Exact content
mdr add wheelry/deep-skill-finder/deep-skill-finder@sha256:b8282148dda504ff

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tgemkfrj2dxqew2z.svg)](https://markdownregistry.com/a/art_tgemkfrj2dxqew2z)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
v1.3.5 latest2026-09-20 73b088a 22,119 BA view · diff
v1.3.52026-09-18 2f91ac8 21,797 BA view · diff
v1.3.52026-09-18 7ad18ce 21,110 BA view · diff
v1.3.42026-09-16 7b30403 20,872 BA view · diff
v1.3.32026-09-16 f7652af 20,872 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (22119 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wheelry/deep-skill-finder · 165 stars · license none · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tgemkfrj2dxqew2z
GET https://markdownregistry.com/api/v1/resolve?ref=wheelry/deep-skill-finder/deep-skill-finder
GET https://markdownregistry.com/api/v1/blob/b8282148dda504ff6552222df03b973a0aeca1ee1538267803c53e16bb5dc096

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