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Agent Skill · 研究检索

secret-scanning(秘密扫描)

用于围绕 GitHub 仓库、Issue、Pull Request、分支、提交和代码协作流程提供辅助能力。它适合让 Agent 查询项目状态、整理变更、辅助创建或检查协作事项,并把仓库中的信息转成可执行的下一步。使用时需要区分只读查询和写入操作;涉及创建 PR、修改 Issue、推送分支或访问私有仓库时,应确认 token 权限、目标仓库范围和用户授权。

secret-scanning 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 46,340。

总安装 784周安装 33GitHub Stars 226下载 275核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:secret-scanning(秘密扫描)
来源仓库:https://github.com/github/copilot-plugins
仓库路径:skills/secret-scanning
安装命令:
npx skills add https://github.com/github/copilot-plugins --skill secret-scanning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/github/copilot-plugins --skill secret-scanning

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

扫描 GitHub 仓库中的敏感信息泄露风险,保障安全合规。适用于检测 API 密钥、密码等机密数据的意外提交。自动标记高危项并生成移除建议,支持批量处理多个仓库。仅对启用 secret scanning 的仓库生效,需配置 webhook 告警。

secret-scanning 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/secret-scanning

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/github/copilot-plugins --skill secret-scanning;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

secret-scanning 怎么安装?

在终端执行 npx skills add https://github.com/github/copilot-plugins --skill secret-scanning。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

secret-scanning 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

secret-scanning 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

secret-scanning 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

secret-scanning 用的人多吗?

公开数据是累计安装 784 次,近一周安装 33 次,下载 275 次,GitHub 226 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

secret-scanning 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
secret-scanning

秘密扫描 · 本页

784226接触敏感数据未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Secret Scanning Skill

Overview

This skill uses the GitHub MCP Server's run_secret_scanning tool to detect secrets in content, files, or git changes. It helps identify sensitive material like API keys, passwords, and credentials that could pose a security risk if exposed.

What counts as a secret?

In this context, values that grant access, impersonate a user or service, sign requests, or decrypt protected data are generally treated as secrets.

Treat these as high-confidence secret material:

  • Access tokens, API keys, and bearer credentials
  • Passwords, database DSNs with embedded credentials, and SMTP auth values
  • Private keys, signing keys, certificates with private key blocks, and SSH keys
  • OAuth client secrets, refresh tokens, and webhook secrets
  • Cloud credentials (AWS/GCP/Azure) and CI/CD deployment credentials

Prefer context, not just regex:

  • Values near names like password, token, secret, client_secret, private_key, or authorization are higher risk
  • Long high-entropy strings in config files, scripts, and test fixtures deserve review even if unlabeled
  • Treat uncertain findings as sensitive until verified

Not everything that looks random is a secret. Example placeholders such as YOUR_API_KEY_HERE, obvious test stubs, and documented sample values can be false positives.

Why this is important

This skill scans for secrets that could compromise security if leaked. A committed secret can persist in git history, trigger incident response, and block deployment at push protection checks.

Important: Only use this skill when a user explicitly asks to scan content or check for secrets. Do not run secret scanning unprompted or as part of general workflows.

Common Scenarios

User goalHow to respondTools needed
Check a config snippet or code pasteScan as contentMCP
Check a specific file in the repoRead file, then scanRead + MCP
Check all staged changes before commitGet diff, then scanBash(git:*) + MCP

Installation

Prerequisites & Inputs

GitHub MCP Server: The skill requires the GitHub MCP Server with the run_secret_scanning tool enabled.

Configure in your MCP settings:

{
  "mcpServers": {
    "github": {
      "type": "http",
      "url": "https://api.githubcopilot.com/mcp/"
    }
  }
}
Note: Cursor uses servers instead of mcpServers as the top-level key.

Required information for scanning:

  • Repository owner: Usually available from git remote get-url origin or ask the user
  • Repository name: Usually available from git remote get-url origin or ask the user
  • Content to scan: Either a code snippet from the user, file content (read using the Read tool), or git diff output (from git diff)

If the user doesn't provide repository owner and repository name, ask for them before running the scan.

What NOT to scan: By default, avoid scanning large generated or vendor content (for example: node_modules/, build artifacts, compiled assets, or other machine-generated files) for performance and noise reduction. Files listed in .gitignore may still contain secrets (such as .env or local config), so only skip them if the user agrees; if the user explicitly asks to scan them, include them in the scan.

Scan Content

When to use: The user provides text or code snippets they want checked for secrets.

How: Use the run_secret_scanning tool with the content as input (as a single-item array).

Example

You: Check if this config snippet has secrets
User provides:
DB_PASSWORD=MyP@ssw0rd123
API_KEY=abc123xyz

Agent: I'll scan that for secrets.

     ⚠️ Found 2 potential secret(s):
     1. DB_PASSWORD value looks like a password
     2. API_KEY value looks like an API key

     Consider replacing hardcoded values with environment variables.

Scan File(s)

When to use: The user asks to check specific files in the repository for secrets.

How: Use the Read tool to get file contents, then pass them to run_secret_scanning.

Example (secrets found)

You: Check if config.py has secrets
Agent: I'll read and scan that file.

     ⚠️ Found 1 potential secret:
     - Line 10: database_password value looks like a password

     Suggestion: Move to environment variable or .env file.

Example (no secrets found)

You: Check if utils.js has any secrets
Agent: I'll read and scan that file.

     ✅ No secrets detected in utils.js

Scan Staged Changes

When to use: The user wants to check git staged changes for secrets before committing.

How: Use git diff --cached to get staged content, then pass it to run_secret_scanning.

Example (clean)

You: Check my staged changes for secrets before I commit
Agent: I'll scan your staged changes.

     ✅ No secrets found in staged changes. Safe to commit.

Example (secrets detected)

You: Scan my staged changes
Agent: I'll check your staged changes.

     ⚠️ Found 1 potential secret in staged changes:
     - database.js line 5: password value looks like a credential

     Suggestion: Unstage that change, move the credential to env vars, and restage.

How the Scan Works

When you call run_secret_scanning:

  • Input: File contents to scan (passed as an array of strings), plus repository owner and name
  • Process: GitHub's secret detection scans for patterns and context that match known secret types
  • Output: List of potential secrets found with locations and confidence indicators

The tool works on content you provide. It doesn't need push access or special GitHub permissions.

Scanning Transparency

How Your Content Is Processed

When you request a scan, file contents are sent to GitHub's secret detection infrastructure. The scanning happens server-side against GitHub's known secret patterns. Scan results are returned without retaining the content on GitHub servers beyond the scan request.

What to Do With Results

If secrets are found:

  • Obvious hardcoded values: Move them to environment variables or .env files
  • Config files: Check if example.env or documentation exists that shows the expected structure
  • Already committed: If the secret was already pushed, credential rotation may be needed (outside this skill's scope)

If no secrets are found:

  • The scan completed successfully
  • Check the output format in the scan result to make sure coverage was complete

Learn More

For more details on secret scanning, credential management, and GitHub security features:

平台分布

Codex

35.36%
按下载量换算97

Claude

28.54%
按下载量换算78

Cursor

18.69%
按下载量换算51

Gemini CLI

8.11%
按下载量换算22

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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