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ln-761-secret-scannerln 761 秘密扫描仪

Agent Skill

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

总安装

6,964

周安装

279

GitHub Stars

437

下载量

2,254
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:ln-761-secret-scanner(ln 761 秘密扫描仪)
来源仓库:https://github.com/levnikolaevich/claude-code-skills
仓库路径:skills/ln-761-secret-scanner
安装命令:
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-761-secret-scanner
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/levnikolaevich/claude-code-skills --skill ln-761-secret-scanner

简介

用于辅助安全审计、权限检查和凭据风险识别。

  • 适合梳理敏感配置、检查依赖风险或分析认证流程。
  • 不能将工具输出直接当作最终结论。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。
  • 涉及密钥或用户数据时应确认最小权限。
  • 需先脱敏再处理敏感信息。ln-761-secret-scanner 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Paths: File paths (shared/, references/, ../ln-*) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If shared/ is missing, fetch files via WebFetch from https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}.

Secret Scanner

Type: L3 Worker Category: 7XX Bootstrap

Scans codebase for hardcoded secrets and credentials, returning structured findings for remediation.

Purpose & Scope

  • Detect hardcoded secrets using available tools (gitleaks, trufflehog) or manual patterns
  • Classify findings by severity (Critical/High/Medium/Low)
  • Filter false positives via baseline and allowlists
  • Provide remediation guidance per finding type
  • Return normalized report to parent orchestrator (ln-760)

When to Use

  • During project bootstrap (via ln-760-security-setup)
  • Pre-commit hook validation
  • CI/CD security pipeline
  • Manual security audit

Workflow

Phase 1: Tool Detection

Step 1: Check Available Scanners

  • Check if gitleaks is installed (preferred)
  • Check if trufflehog is installed (alternative)
  • If neither available: use manual pattern matching as fallback

Step 2: Load Configuration

  • Load project .gitleaks.toml if exists (custom rules)
  • Load .gitleaksbaseline if exists (known false positives)
  • If no config: use default patterns from references/detection_patterns.md

Phase 2: Scan Execution

Step 1: Run Available Scanner

  • Execute scanner against project root
  • Capture output in structured format (JSON/SARIF preferred)
  • If tool unavailable: run manual grep patterns for high-confidence secrets

Step 2: Parse Results

  • Normalize output to common format: file, line, pattern, raw_match
  • Preserve original severity if provided by tool

Phase 3: Report Generation

Step 1: Severity Classification

  • Map findings to severity levels per references/detection_patterns.md
  • Critical: AWS keys, private keys, JWT secrets
  • High: Generic passwords, connection strings
  • Medium: API keys (may be test data)
  • Low: Potential secrets requiring manual review

Step 2: False Positive Filtering

  • Apply baseline exclusions
  • Apply allowlist patterns (placeholders, test data, docs)
  • Mark filtered items as "excluded" with reason

Step 3: Build Report

  • Group findings by severity
  • Include file path, line number, pattern matched
  • Do NOT include actual secret values in report

Phase 4: Remediation Guidance

Step 1: Attach Remediation Actions

  • For each finding, attach remediation steps from references/remediation_guide.md
  • For Critical findings: emphasize immediate rotation requirement

Step 2: Return Results

  • Return structured findings list to orchestrator
  • Include summary: total scanned, total found, by severity

Critical Rules

  1. Never log actual secret values - redact in all outputs
  2. Treat any found secret as compromised - rotation required for Critical
  3. Preserve baseline - do not remove existing baseline entries
  4. Pre-commit priority - recommend pre-commit hook if not configured
  5. Git history awareness - warn if secret may exist in history (requires git-filter-repo)

Definition of Done

  • Scan completed using available tool or manual patterns
  • Findings classified by severity
  • False positives filtered via baseline/allowlist
  • Remediation guidance attached to each finding
  • Report returned in normalized format (no raw secret values)
  • Critical findings flagged with rotation requirement

Reference Files

FilePurpose
references/detection_patterns.mdSecret patterns by confidence level
references/gitleaks_config_template.tomlTemplate for project gitleaks config
references/remediation_guide.mdRotation procedures by secret type

Version: 2.0.0 Last Updated: 2026-01-10

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

31.88%
按下载量换算719

Gemini CLI

22.28%
按下载量换算502

Codex

16.91%
按下载量换算381

OpenCode

13.1%
按下载量换算295

Antigravity

7.54%
按下载量换算170

windsurf

3.29%
按下载量换算74

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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