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codeqlcodeql 搜索

Agent Skill

codeql 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

309

周安装

13

GitHub Stars

公开资料未说明

下载量

108
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

2

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:codeql(codeql 搜索)
来源仓库:https://github.com/5dlabs/cto
仓库路径:skills/codeql
安装命令:
npx skills add 5dlabs/cto --skill "codeql"
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。

AgentSkills.tonpx skills
npx skills add 5dlabs/cto --skill "codeql"

简介

基于 CodeQL 的静态代码分析技能封装,用于深度安全扫描与缺陷检测。

  • 适用于查找潜在漏洞、合规性检查及代码质量趋势监控场景。
  • 支持自定义查询规则与结果分类,输出结构化审计报告。
  • 安装命令:npx skills add 5dlabs/cto --skill "codeql";需确认是否调用本地 CodeQL 引擎或连接远程服务。
  • 部分高级查询可能消耗较多计算资源,建议在隔离环境中运行。

SKILL.md

CodeQL Static Analysis

When to Use CodeQL

Ideal scenarios:

  • Source code access with ability to build (for compiled languages)
  • Open-source projects or GitHub Advanced Security license
  • Need for interprocedural data flow and taint tracking
  • Finding complex vulnerabilities requiring AST/CFG analysis
  • Comprehensive security audits where analysis time is not critical

Consider Semgrep instead when:

  • No build capability for compiled languages
  • Licensing constraints
  • Need fast, lightweight pattern matching
  • Simple, single-file analysis is sufficient

Why Interprocedural Analysis Matters

Simple grep/pattern tools only see one function at a time. Real vulnerabilities often span multiple functions:

HTTP Handler → Input Parser → Business Logic → Database Query
     ↓              ↓              ↓              ↓
   source      transforms       passes        sink (SQL)

CodeQL tracks data flow across all these steps. A tainted input in the handler can be traced through 5+ function calls to find where it reaches a dangerous sink.

Installation

CodeQL CLI

# macOS/Linux (Homebrew)
brew install --cask codeql

# Update
brew upgrade codeql

Trail of Bits Queries (Optional)

# Download ToB query packs
codeql pack download trailofbits/cpp-queries trailofbits/go-queries

# Verify installation
codeql resolve qlpacks | grep trailofbits

Core Workflow

1. Create Database

codeql database create codeql.db --language=<LANG> [--command='<BUILD>'] --source-root=.
Language--language=Build Required
PythonpythonNo
JavaScript/TypeScriptjavascriptNo
GogoNo
RustrustYes (--command='cargo build')
Java/KotlinjavaYes (--command='./gradlew build')
C/C++cppYes (--command='make -j8')

2. Run Analysis

# SARIF output (recommended)
codeql database analyze codeql.db \
  --format=sarif-latest \
  --output=results.sarif \
  -- codeql/python-queries:codeql-suites/python-security-extended.qls

# With Trail of Bits queries
codeql database analyze codeql.db \
  --format=sarif-latest \
  --output=results.sarif \
  -- trailofbits/go-queries

Writing Custom Queries

Basic Template

/**
 * @name Find SQL injection vulnerabilities
 * @description Identifies potential SQL injection from user input
 * @kind path-problem
 * @problem.severity error
 * @security-severity 9.0
 * @precision high
 * @id py/sql-injection
 * @tags security
 *       external/cwe/cwe-089
 */

import python
import semmle.python.dataflow.new.DataFlow
import semmle.python.dataflow.new.TaintTracking

module SqlInjectionConfig implements DataFlow::ConfigSig {
  predicate isSource(DataFlow::Node source) {
    // Define taint sources (user input)
    exists(source)
  }

  predicate isSink(DataFlow::Node sink) {
    // Define dangerous sinks (SQL execution)
    exists(sink)
  }
}

module SqlInjectionFlow = TaintTracking::Global<SqlInjectionConfig>;

from SqlInjectionFlow::PathNode source, SqlInjectionFlow::PathNode sink
where SqlInjectionFlow::flowPath(source, sink)
select sink.getNode(), source, sink, "SQL injection from $@.", source.getNode(), "user input"

Query Metadata

FieldDescriptionValues
@kindQuery typeproblem, path-problem
@problem.severityIssue severityerror, warning, recommendation
@security-severityCVSS score0.0 - 10.0
@precisionConfidencevery-high, high, medium, low

CI/CD Integration (GitHub Actions)

name: CodeQL Analysis
on:
  push:
    branches: [main]
  pull_request:
    branches: [main]
  schedule:
    - cron: '0 0 * * 1'  # Weekly

jobs:
  analyze:
    runs-on: ubuntu-latest
    permissions:
      actions: read
      contents: read
      security-events: write
    strategy:
      matrix:
        language: ['python', 'javascript']
    steps:
      - uses: actions/checkout@v4
      - name: Initialize CodeQL
        uses: github/codeql-action/init@v3
        with:
          languages: ${{ matrix.language }}
          queries: security-extended, security-and-quality
      - uses: github/codeql-action/autobuild@v3
      - uses: github/codeql-action/analyze@v3
        with:
          category: "/language:${{ matrix.language }}"

Troubleshooting

IssueSolution
Database creation failsClean build environment, verify build command works independently
Slow analysisUse --threads, narrow query scope, check query complexity
Missing resultsCheck file exclusions, verify source files were parsed
Out of memorySet CODEQL_RAM=48000 environment variable (48GB)

Rationalizations to Reject

ShortcutWhy It's Wrong
"No findings means the code is secure"CodeQL only finds patterns it has queries for
"This code path looks safe"Complex data flow can hide vulnerabilities across 5+ function calls
"Small change, low risk"Small changes can introduce critical bugs; run full analysis
"The query didn't flag it"Default query suites don't cover everything; check custom queries

Resources

Attribution

Based on trailofbits/skills codeql skill.

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

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

30.71%
按下载量换算33

windsurf

20.53%
按下载量换算22

trae

16.43%
按下载量换算18

OpenCode

13.08%
按下载量换算14

Codex

7.23%
按下载量换算8

Antigravity

3.71%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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