SkillAtlasSkill 详情

knowledge

This is the open-source content repository behind

审核状态：已审核Quality 72Security 90

复制安装命令

用 Codex 或 Claude 安装复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它先审查 Skill 页面再帮你安装。

复制前请先查看来源、License 和安全提示。

项目 README

来源文件：README.md

抓取于 2026年8月31日

Skill Store — Marketplace Repository

This is the open-source content repository behind Skill Store. It stores every approved Agent Skill, the records that go with it, and the automated security audits published with each skill.

This repo is a companion to the Skill Store platform, not the place to submit skills. Skills are added through skillstore.io — its review pipeline writes to this repo automatically. Please do not open a pull request here to add a skill; PRs adding skills will be closed. See Contributing a skill below.

Installing a skill

The recommended way to install any skill is the skillstore CLI — one command works for both Claude Code and Codex:

npx skillstore add author/skill-name

For example:

npx skillstore add aiskillstore/code-review

It downloads the skill and drops it into the right skills/ directory for your tool. Claude Code auto-discovers it; for Codex, restart the session.

Prefer to do it by hand, or installing via Claude Web? See the full Installation Guides for every method (CLI, manual, and ZIP upload) and the scope directories (~/.agents/skills/, .claude/skills/, ~/.claude/skills/, .codex/skills/, …).

Contributing a skill

Submit through the platform — not through a pull request:

  1. Go to skillstore.io/submit.
  2. Enter the GitHub repository URL that contains your SKILL.md.
  3. Your submission runs through automated security analysis.
  4. A maintainer reviews and approves it.
  5. On approval, the skill is published here and appears on skillstore.io.

What makes a valid skill

  • SKILL.md — the skill definition (required, per the Agent Skills spec)
  • Supporting files the skill references (optional)
  • LICENSE (recommended)

Security audit

Every submission is scanned automatically before it can be published. The audit flags things like:

  • Dangerous code patterns (eval, exec, raw system commands)
  • File access outside the project scope
  • Network calls to external hosts
  • Obfuscated or minified code
  • Credential / secret handling

Security analysis is report-only: findings inform maintainers and users, but a risk result does not automatically block an otherwise approved skill from being published. See our Security Trust Center for the methodology, limitations, and risk-level definitions.

Live Security Passport example:

Skillstore security

Repository layout

.
├── skills/        # Approved, published skills (one folder each, with SKILL.md)
├── pending/       # Submissions awaiting review
├── packages/
│   ├── cli/       # The `skillstore` CLI (npx skillstore add …)
│   └── skillstore/
├── schemas/       # JSON schemas for skill records
├── scripts/       # Maintenance & scoring scripts
└── .github/workflows/   # Submission, audit, and sync automation

The contents of this repo are maintained by Skill Store's automated pipeline. Manual changes are limited to maintainers.

Links

License

The marketplace catalog is MIT-licensed. Individual skills carry their own licenses — check each skill's LICENSE file.

其他

低风险

  • 来源需自行核对维护者身份。
  • 未检测到明显脚本安装指令。
  • 可能需要外部 token、网络权限或第三方服务。
  • 未检测到高风险命令。
  • 扫描发现：0 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xrdan/knowledge" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xrdan/knowledge" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xrdan/knowledge" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xrdan/knowledge" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库：git clone https://github.com/aiskillstore/marketplace.git
  3. 将 "skills/0xrdan/knowledge" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: knowledge
description: Display knowledge base status and recent learnings
user_invokable: true

Knowledge

Display the current state of the project's knowledge base and recent learnings.

What This Does

Shows:

  • Learning mode status (on/off)
  • Knowledge base statistics (entry counts per category)
  • Recent learnings extracted
  • Cache statistics

Instructions

  1. Read knowledge/state.json for learning mode status
  2. Read each knowledge file and count entries:
    • knowledge/cache/classifications.md
    • knowledge/learnings/patterns.md
    • knowledge/learnings/quirks.md
    • knowledge/learnings/decisions.md
  3. Extract recent entries (last 5) from learnings files
  4. Format and display

Output Format

╔═══════════════════════════════════════════════════╗
║           Project Knowledge Base                   ║
╚═══════════════════════════════════════════════════╝

📚 Learning Status
───────────────────────────────────────────────────
Mode: ON (since 2026-01-08 14:00)
Last Extraction: 5 minutes ago
Extractions This Session: 3

📊 Knowledge Statistics
───────────────────────────────────────────────────
Cache:
  - Classification entries: 23

Learnings:
  - Patterns: 8 entries
  - Quirks: 3 entries
  - Decisions: 5 entries
  - Total: 16 insights

📝 Recent Learnings
───────────────────────────────────────────────────
[Pattern] "Use async/await for API calls in this codebase"
  Discovered: 2026-01-08 | Confidence: high

[Quirk] "Auth module uses non-standard token format"
  Discovered: 2026-01-07 | Confidence: high

[Decision] "Chose Redis over in-memory cache for session storage"
  Made: 2026-01-06 | Confidence: high

💡 Commands
───────────────────────────────────────────────────
/learn      - Extract insights now
/learn-on   - Enable continuous learning
/learn-off  - Disable continuous learning

When Knowledge Base is Empty

╔═══════════════════════════════════════════════════╗
║           Project Knowledge Base                   ║
╚═══════════════════════════════════════════════════╝

📚 Learning Status
───────────────────────────────────────────────────
Mode: OFF
No extractions yet

📊 Knowledge Statistics
───────────────────────────────────────────────────
Knowledge base is empty.

💡 Get Started
───────────────────────────────────────────────────
Use /learn to extract insights from your current session.
Use /learn-on to enable continuous learning.

The knowledge base will grow as you work, capturing:
  - Patterns that work well in this project
  - Quirks and gotchas to remember
  - Decisions and their rationale

Steps

  1. Read knowledge/state.json
  2. Read frontmatter from each knowledge file to get entry counts
  3. Parse recent entries from learnings files (look for ## Pattern:, ## Quirk:, ## Decision: headers)
  4. Format and display the summary
  5. If files are missing or empty, show the "empty" state

Notes

  • Entry counts come from frontmatter entry_count field or by counting ## headers
  • Recent learnings are shown most recent first (by discovered/made date)
  • This is a read-only command - it doesn't modify any files

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