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Agent Skill · 研究检索

gemini-cli-security(Gemini CLI 安全)

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。

gemini-cli-security 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,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 42,473。

总安装 1,071周安装 46GitHub Stars 25下载 375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:gemini-cli-security(Gemini CLI 安全)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/gemini-cli-security
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill gemini-cli-security
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/oimiragieo/agent-studio --skill gemini-cli-security

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。

用于辅助安全审计、权限检查和凭据风险排查。gemini-cli-security 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合梳理敏感配置、检查依赖风险或分析鉴权逻辑。通过 GitHub 安装,使用时需确认最小权限和操作边界。不能将工具输出直接作为最终结论,涉及密钥时应先脱敏。

适用于 Codex、Claude、Cursor 和 Gemini CLI 环境。

来源仓库内路径:skills/gemini-cli-security

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/oimiragieo/agent-studio --skill gemini-cli-sec…;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

gemini-cli-security 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --skill gemini-cli-security。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

gemini-cli-security 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。

gemini-cli-security 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。

gemini-cli-security 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。

gemini-cli-security 用的人多吗?

公开数据是累计安装 1,071 次,近一周安装 46 次,下载 375 次,GitHub 25 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。

gemini-cli-security 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。

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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
gemini-cli-security

Gemini CLI 安全 · 本页

1,07125接触敏感数据未明确未通过

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

Gemini CLI Security Skill

Overview

This skill adapts the Gemini CLI Security Extension's analysis methodology for the agent-studio framework. The original extension uses two MCP server patterns — a security analysis server and an OSV-Scanner integration — to provide dual-vector coverage. This skill implements equivalent analysis using native Claude Code tools (WebFetch for OSV.dev API, Grep/Bash for static analysis patterns).

Source repository: https://github.com/gemini-cli-extensions/security License: Apache 2.0 Performance: 90% precision, 93% recall (OpenSSF CVE benchmark, TypeScript/JavaScript)

When to Use

  • Before merging pull requests to detect introduced vulnerabilities
  • During security reviews of new code changes
  • For dependency auditing against known CVE databases
  • For LLM-integrated applications requiring prompt injection defense review
  • As part of CI/CD pipeline security gates

Iron Law

NO PRODUCTION CODE WITHOUT SECURITY ANALYSIS FOR AUTH/SECRETS/EXTERNAL-INPUT HANDLERS

All code paths handling authentication, hardcoded values, external input, or AI model outputs MUST be analyzed before production deployment.

Vulnerability Coverage

Category 1: Secrets Management

PatternDetection Method
Hardcoded API keysGrep for key patterns + entropy analysis
Hardcoded passwordsCredential keyword detection
Private keys in sourcePEM block / base64 key detection
Encryption keysSymmetric key constant patterns

Category 2: Injection Attacks

Attack TypeExamples
SQL injectionString concatenation in queries
XSSUnescaped user content in HTML/JS output
Command injectionShell exec with user-controlled args
SSRFUser-controlled URLs in server requests
Template injectionUnsanitized user input in template engines

Category 3: Authentication Flaws

FlawDetection
Session bypassMissing auth middleware
Weak tokensPredictable token generation
Insecure password resetToken-less or email-only resets
Missing MFA enforcementAuth flows without 2FA checks

Category 4: Data Handling

IssueDetection
Weak cryptographyMD5/SHA1 for secrets; DES/RC4 usage
Sensitive data in logsPII/credential patterns in log statements
PII violationsUnencrypted PII storage or transmission
Insecure deserializationUnsafe pickle/eval/deserialize calls

Category 5: LLM Safety (Novel)

RiskDetection
Prompt injectionUser content injected into LLM prompts without sanitization
Unsafe output handlingLLM output used in exec/eval/shell without validation
Insecure tool integrationTool calls with unchecked LLM-provided parameters

Usage

Invocation

// From an agent
Skill({ skill: 'gemini-cli-security' });

// With arguments via Bash integration
Skill({ skill: 'gemini-cli-security', args: 'src/ --scan-deps' });

Workflow Execution

# Analyze code in a directory
node .claude/skills/gemini-cli-security/scripts/main.cjs --target src/

# Scan dependencies for CVEs
node .claude/skills/gemini-cli-security/scripts/main.cjs --scan-deps

# JSON output for CI integration
node .claude/skills/gemini-cli-security/scripts/main.cjs --target . --json

# Scoped analysis with natural language
node .claude/skills/gemini-cli-security/scripts/main.cjs --target src/auth/ --scope "focus on token handling and session management"

Output Format

Default output (markdown report):

## Security Analysis Report

### CRITICAL

- [AUTH-001] Hardcoded API key found in src/config.ts:42
  Pattern: `const API_KEY = "sk-..."`
  Remediation: Move to environment variable

### HIGH

- [INJ-002] SQL injection risk in src/db/users.ts:87
  Pattern: String concatenation in query builder
  Remediation: Use parameterized queries

### Dependencies

- lodash@4.17.15 → CVE-2021-23337 (HIGH) - Prototype pollution
  Fix: Upgrade to lodash@4.17.21+

JSON output (--json flag):

{
  "findings": [
    {
      "id": "AUTH-001",
      "severity": "CRITICAL",
      "category": "secrets",
      "file": "src/config.ts",
      "line": 42,
      "description": "Hardcoded API key",
      "remediation": "Move to environment variable"
    }
  ],
  "dependencies": [
    {
      "package": "lodash",
      "version": "4.17.15",
      "cve": "CVE-2021-23337",
      "severity": "HIGH",
      "fix": "4.17.21"
    }
  ],
  "summary": {
    "critical": 1,
    "high": 2,
    "medium": 3,
    "low": 0,
    "precision": 0.9,
    "recall": 0.93
  }
}

OSV.dev Dependency Scanning

The skill integrates with the OSV.dev API (no authentication required) to check dependencies:

// OSV.dev batch query endpoint
WebFetch({
  url: 'https://api.osv.dev/v1/querybatch',
  prompt: 'Extract vulnerability IDs, severity, and affected versions for these packages',
});

Supported ecosystems: npm, PyPI, RubyGems, Maven, Go, Cargo, NuGet, Packagist

GitHub Actions Integration

The original extension supports PR analysis via GitHub Actions. This skill includes an equivalent workflow template:

# .github/workflows/security.yml
name: Security Analysis
on: [pull_request]
jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Run security analysis
        run: node .claude/skills/gemini-cli-security/scripts/main.cjs --target . --json

Implementation Notes

Why native tools over MCP servers: The original extension uses two MCP servers (security analysis server + OSV-Scanner binary). This skill uses native Claude Code tools instead:

  • WebFetch replaces OSV-Scanner for dependency CVE lookups (OSV.dev has a public REST API)
  • Grep/Bash replace the security analysis server for pattern-based detection
  • This approach works immediately without binary installation or session restart

Deviation from source: The original uses Gemini AI for code analysis; this skill uses the pattern-based detection methodology documented in the extension's benchmarking. The AI analysis component can be provided by the invoking agent (security-architect) rather than an embedded AI call.

Assigned Agents

AgentRole
security-architectPrimary: comprehensive security audits
developerSupporting: pre-commit security checks
code-reviewerSupporting: PR review security layer

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

  • New vulnerability pattern found -> .claude/context/memory/learnings.md
  • Issue with scanning -> .claude/context/memory/issues.md
  • Decision about scope -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

36.26%
按下载量换算136

Claude

29.15%
按下载量换算109

Cursor

16.54%
按下载量换算62

Gemini CLI

8.67%
按下载量换算33

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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