{"slug":"yan-labs-skillsmp","name":"skillsmp","description":"在 SkillsMP（1.6M+ 公开 SKILL.md 的索引，覆盖 Claude Code / Codex / ChatGPT）里搜 Agent Skill，按关键词、分类、职业、语言过滤，并专门挖那些「写得好但没人知道」的冷门 Skill。用户说 找个 skill、有没有现成的 skill、搜一下 skill、skillsmp、skills 市场、agent skill 搜索、find a skill、search skills、discover skills 时使用。也用于判断某个领域已经有哪些 Skill、避免重复造轮子。","long_description":"---\nname: skillsmp\ndescription: 在 SkillsMP（1.6M+ 公开 SKILL.md 的索引，覆盖 Claude Code / Codex / ChatGPT）里搜 Agent Skill，按关键词、分类、职业、语言过滤，并专门挖那些「写得好但没人知道」的冷门 Skill。用户说 找个 skill、有没有现成的 skill、搜一下 skill、skillsmp、skills 市场、agent skill 搜索、find a skill、search skills、discover skills 时使用。也用于判断某个领域已经有哪些 Skill、避免重复造轮子。同样覆盖这些口语说法：这个功能有没有人做过、别人写过没、我想写个做 X 的 skill（动手前先搜）、挖点冷门好用的、有没有小众但写得好的、这领域现在都有啥、按星数排靠不靠谱、只要中文的 skill。\n---\n\n# SkillsMP\n\n搜 [SkillsMP](https://skillsmp.com) —— 目前最大的公开 Agent Skill 索引（1.6M+ 个\nSKILL.md，来自 GitHub，覆盖 Claude Code、Codex、ChatGPT）。\n\n**要动手写一个新 Skill 之前，先来这里搜一遍。** 别人写过的概率比你以为的高。\n\n## 一句话 → 用哪个能力\n\n用户不会说「跑 treasure.mjs --pages 5」。他会说下面左边那些话。\n\n| 用户大概会这么说 | 从这里开始 |\n|---|---|\n| 「有没有现成的 skill 能做 X」「找个 skill」 | `node scripts/search.mjs \"X\" --limit 20`。命中少就换个说法再搜一次，别断言「不存在」 |\n| 「我想写个做 X 的 skill」（**动手前必答**） | 先 `search.mjs \"X\"`，看有没有人写过。这是本 Skill 存在的第一个理由 |\n| 「这个领域已经有哪些 skill 了」「盘一下现状」 | `node scripts/search.mjs \"领域词\" --pages 3 --json`，存本地再过滤，别反复重搜（配额按天算） |\n| 「找点好东西」「有没有小众但写得好的」「挖宝」 | `node scripts/treasure.mjs \"关键词\" --pages 5 --top 15`。它出**全量候选 + 原始信号**，`sortKey` 只是排序键、不是评分，也不替你丢行 |\n| 「按星数给我排一下」 | 可以，但先读下面那条坑：`stars` 是**仓库**星数，不是这个 Skill 的。`treasure.mjs --sort stars` 换排法用的是同一批候选 |\n| 「太多了，把大厂仓库的过滤掉」 | `--max-stars N`。**没有默认值**：不给就一条不过滤；给了也只标 `aboveMaxStars` 折叠，不删行，`--json` 里照样全在 |\n| 「只要中文的 / 只要 DevOps 的 / 只要给开发看的」 | `--lang zh` · `--category devops` · `--occupation software-developers` |\n| 「搜出来只有 5 个？」 | 那是 `pagination.total` 在骗人（`totalIsExact:false`，严重偏低）。翻页只认 `hasNext` |\n| 「这个 skill 到底行不行」 | 打开它的 `githubUrl` 读一眼再下结论。description 是作者的营销文案，不是验证过的能力 |\n\n**它不做的事**：装 Skill、写 Skill、评审 Skill 质量。它只把候选摆到你眼前。\n\n## 目录\n\n```\nskillsmp/\n├── SKILL.md            ← 你在这里：怎么搜、怎么挖宝、两个必须知道的坑\n├── .env.example        ← 复制成 .env 填 API Key（可选；.env 已被忽略，绝不提交）\n└── scripts/\n    ├── search.mjs      直搜。可翻页、可按分类/职业/语言过滤，可 --json\n    └── treasure.mjs    ★ 挖宝。故意不按星数排，理由见下。出全量候选 + 原始信号，\n                          排序键只是排序键，不丢行也不下判决\n```\n\n## 先跑起来\n\n不需要任何配置——**匿名就能用**（50 次/天、10 次/分钟）：\n\n```bash\nnode scripts/search.mjs \"关键词\" --limit 20\n```\n\n想要 500 次/天，就配一个 Key：\n\n```bash\ncp .env.example .env      # 然后把 Key 填进去\n```\n\nKey 从 <https://skillsmp.com/docs/api> 生成。它是凭据，**只放 `.env`，绝不进仓库**\n（仓库的 `.gitignore` 已经拦了 `*/.env`，别绕过它）。\n\n## 两个必须知道的坑\n\n### ★ 不是这个 Skill 的星数，是它所在仓库的星数\n\n这是本 Skill 存在的主要理由。API 返回的 `stars` 是**包含该 Skill 的 GitHub 仓库**\n的星数。实测：某条结果报 240467，而它所在仓库的真实星数是 240743 —— 对得上，确认无疑。\n\n后果很实际：\n\n- 一个塞在超高星仓库里的 Skill（哪怕只是整包机翻的文档）**自动继承那个星数**；\n- 一个作者单独开仓库、认真写的单一用途 Skill，只有个位数星。\n\n实测搜 `backlink` 按星排序，前四条里三条来自同一个 28562★ 的笔记仓库，\n讲的是笔记系统内部的双向链接，跟外链毫无关系。**高星把语义对口的结果整个淹掉了。**\n\n所以：`sortBy=stars` 排出来的不是「最好的 Skill」，是「住在最红仓库里的 Skill」。\n\n### 翻页要认 `hasNext`，别认 `total`\n\n`pagination.total` 附带一个 `totalIsExact: false`，而且实测严重偏低——百万级索引里\n搜 `SEO` 只报 `total: 5`。**按 total 算页数会漏掉绝大部分结果。**\n唯一可靠的翻页依据是 `hasNext`，两个脚本都已经这么做了。\n\n## 挖宝：找「写得好但没人知道」的\n\n既然星数不是质量信号，就别用它排。`treasure.mjs` 采集四个跟仓库名气无关的信号：\n\n```bash\nnode scripts/treasure.mjs \"关键词\" --pages 5 --top 15\nnode scripts/treasure.mjs \"关键词\" --pages 5 --sort stars --json   # 换个排法，同一批候选\n```\n\n| 信号（`signals` 里的原始观测值） | 想法 |\n|---|---|\n| **`stars` / 独立性** | 所在仓库星数越低，越说明这个 Skill 靠自己站住，不是搭便车 |\n| **`repoCount` / 专注度** | 同一仓库在本次结果里出现几条。一个仓库刷出几十条，通常是批量生成或整包翻译的文档堆 |\n| **`descLength` + `hasTriggerWording` / 描述具体度** | 好的描述会写清**什么时候该用**（触发条件、场景、反例），而不是「帮你做 X」。这是分辨用不用心最单一有效的信号 |\n| **`ageDays` / 新鲜度** | 长期没动的多半已经烂掉 |\n\n同名同作者跨多语言的条目会被去重——那是整包机翻，一个仓库能刷满整页。\n**去重是唯一会减少候选数的一步，而且减了几条会报出来。**\n\n### 排序键不是判决，脚本也不替你丢行\n\n| 规矩 | 落实在哪 |\n|---|---|\n| **`sortKey` 只是排序键**，不是评分、不是质量结论 | 输出里叫 `sortKey`/`sortKeyParts`，权重是随手定的、没有实测支撑；`--sort key\\|stars\\|updated\\|none` 随时换排法或不排 |\n| **原始信号照给**，可回到搜索结果核对 | 每条候选带 `signals`，报告里要引用就引用它，不要引用 `sortKey` |\n| **`--max-stars` 没有默认值** | 不给就**一条不过滤**。以前默认 5000 会在你没要求时静默扔行，「搜出来就这些」和「被扔了一半」在输出上完全同形 |\n| **给了 `--max-stars` 也只折叠不删除** | 超标行标 `aboveMaxStars: true`，`--json` 里照样在，人读视图会明说折叠了几条并列出前十条 |\n| **`--json` 出全量候选** | `candidateList` 是全部候选，`shown` 只是默认视图选了谁 |\n\n**这是启发式排序，不是判决。** 脚本只负责把候选排到你眼前；\n要不要用，仍然得打开那个 `SKILL.md` 读一遍。\n**别把排序键当成质量结论报给用户**，也别把「默认视图里没有」说成「没有这样的 Skill」。\n\n## 过滤参数\n\n两个脚本共用：\n\n| 参数 | 说明 |\n|---|---|\n| `--pages N` | 翻几页（search 默认 1，treasure 默认 5） |\n| `--limit N` | 每页几条，上限 100 |\n| `--sort stars\\|recent` | search 的排序参数。**先读上面那条坑再决定用不用 stars** |\n| `--sort key\\|stars\\|updated\\|none` | treasure 的排序参数。`key` 是默认的启发式排序键，`none` 保持原顺序 |\n| `--max-stars N` | 只有 treasure 有，**无默认值**。不给就不过滤；给了也只折叠不删除 |\n| `--category <slug>` | 如 `data-ai`、`devops` |\n| `--occupation <slug>` | SOC 职业，如 `software-developers` |\n| `--lang <code>` | `en` / `zh` / `ja` 等 ISO 码；`mul` 混合，`und` 判不出 |\n| `--json` | 输出 JSON 而不是表格 |\n\n不支持通配符（`*`），也不支持空查询。\n\n## 配额与报错\n\n响应头一直在报剩余量，脚本会把它打在结尾。常见错误已经翻译成人话：\n`INVALID_API_KEY`（Key 无效）、`DAILY_QUOTA_EXCEEDED`（当日用完）、\n`MISSING_QUERY`（没给关键词）、`INVALID_OCCUPATION` / `INVALID_LANGUAGE`（slug 不认识）。\n\n搜索结果**尽量不要在一次任务里反复重搜同一个词**——配额是按天算的，\n匿名只有 50 次。需要反复查询时用 `--json` 存一份到本地再过滤。\n\n## 汇报纪律\n\n把搜到的 Skill 告诉用户时：\n\n- **说清 ★ 是仓库星数**，不要让用户以为那是这个 Skill 的受欢迎程度；\n- 推荐之前**至少读一眼它的 `githubUrl`**，别只凭 description 就推荐——\n  描述是作者自己写的营销文案，不是验证过的能力；\n- 命中很少时如实说命中很少。这个索引有 1.6M 条，搜不到通常意味着词不对，\n  换个说法再搜一次，而不是断言「不存在」。\n","tagline":"在 SkillsMP（1.6M+ 公开 SKILL.md 的索引，覆盖 Claude Code / Codex / ChatGPT）里搜 Agent Skill，按关键词、分类、职业、语言过滤，并专门挖那些「写得好但没人知道」的冷门 Skill。用户说 找个 skill、有没有现成的 skill、搜一下 skill、skillsmp、skills 市场、agent skill 搜索、find a skill、search skills、discover skills 时使用。也用于判断某个领域已经有哪些 Skill、避免重复造轮子。","category":"research","commerce":{"type":"unknown","billing":"unknown","amount":null,"currency":null,"sourceUrl":null,"checkedAt":null,"runtime":"unknown","purchaseUrl":null,"checkout":"external","purchaseRequiresUserConsent":true},"tags":["agent-skill"],"author":"yan-labs","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"yan-labs/yan-skills","creatorName":"yan-labs","creatorUrl":"https://github.com/yan-labs","sourceUrl":"https://github.com/yan-labs/yan-skills/tree/main/skillsmp","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/yan-labs-skillsmp#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":179,"forks":79,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":39.19},"quality":{"score":69,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"179","tone":"neutral"},{"label":"Freshness","value":"29d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":66,"base_score":74,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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