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static-analysis静态分析

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

569

周安装

23

GitHub Stars

827

下载量

178
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

unknown

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:static-analysis(静态分析)
来源仓库:https://github.com/gmh5225/awesome-llvm-security
仓库路径:skills/static-analysis
安装命令:
npx skills add https://github.com/gmh5225/awesome-llvm-security --skill static-analysis
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/gmh5225/awesome-llvm-security --skill static-analysis

简介

static-analysis 用于辅助安全审计、权限检查和常见漏洞排查,适合梳理敏感配置和分析鉴权逻辑。

  • 适用于需要安全复核清单、依赖风险检查或认证流程分析的 Agent 任务。
  • 不能将工具输出直接作为最终结论,涉及密钥或生产系统时应先确认最小权限。
  • 使用时需注意脱敏方式和操作边界,避免误判或越权操作。
  • 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。

SKILL.md

Static Analysis Skill

This skill covers static program analysis techniques using LLVM infrastructure for security research, vulnerability detection, and code quality assessment.

Analysis Categories

Dataflow Analysis

  • Forward Analysis: Track values from definitions to uses
  • Backward Analysis: Track from uses back to definitions
  • May/Must Analysis: Conservative vs precise approximations

Control Flow Analysis

  • Dominator Trees: Identify code dominance relationships
  • Post-Dominator Trees: Control dependence analysis
  • Loop Analysis: Detect and characterize loops

Pointer Analysis

  • Flow-Insensitive: Andersen's, Steensgaard's algorithms
  • Flow-Sensitive: Track pointer values at each program point
  • Context-Sensitive: Distinguish calling contexts

LLVM Analysis Infrastructure

Using Built-in Analyses

#include "llvm/Analysis/AliasAnalysis.h"
#include "llvm/Analysis/LoopInfo.h"
#include "llvm/Analysis/DominatorTree.h"

void analyze(llvm::Function& F, llvm::FunctionAnalysisManager& FAM) {
    // Get dominator tree
    auto& DT = FAM.getResult<llvm::DominatorTreeAnalysis>(F);

    // Get loop info
    auto& LI = FAM.getResult<llvm::LoopAnalysis>(F);

    // Get alias analysis
    auto& AA = FAM.getResult<llvm::AAManager>(F);

    // Check if two pointers may alias
    llvm::AliasResult AR = AA.alias(Ptr1, Ptr2);
}

Implementing Custom Analysis

class TaintAnalysis {
    std::set<llvm::Value*> taintedValues;

public:
    void markTainted(llvm::Value* V) {
        taintedValues.insert(V);
    }

    bool isTainted(llvm::Value* V) {
        return taintedValues.count(V) > 0;
    }

    void propagate(llvm::Instruction* I) {
        // Propagate taint through operations
        for (auto& Op : I->operands()) {
            if (isTainted(Op)) {
                markTainted(I);
                break;
            }
        }
    }
};

Taint Analysis

Source-Sink Model

// Define taint sources (user input, network, files)
bool isTaintSource(llvm::CallInst* CI) {
    llvm::Function* F = CI->getCalledFunction();
    if (!F) return false;

    static const std::set<std::string> sources = {
        "read", "recv", "fread", "getenv", "gets", "scanf"
    };
    return sources.count(F->getName().str()) > 0;
}

// Define sensitive sinks (SQL queries, system calls, format strings)
bool isSensitiveSink(llvm::CallInst* CI) {
    llvm::Function* F = CI->getCalledFunction();
    if (!F) return false;

    static const std::set<std::string> sinks = {
        "system", "exec", "printf", "strcpy", "memcpy", "sql_query"
    };
    return sinks.count(F->getName().str()) > 0;
}

Interprocedural Analysis

  • Track taint across function boundaries
  • Handle indirect calls via call graph analysis
  • Context-sensitivity for precision

Pointer Analysis Frameworks

Using Andersen's Analysis

#include "llvm/Analysis/CFLAndersAliasAnalysis.h"

// Check may-alias relationship
void checkAlias(llvm::AAResults& AA, llvm::Value* P1, llvm::Value* P2) {
    switch (AA.alias(P1, P2)) {
        case llvm::AliasResult::NoAlias:
            // Definitely don't alias
            break;
        case llvm::AliasResult::MayAlias:
            // Might alias
            break;
        case llvm::AliasResult::MustAlias:
            // Always alias
            break;
    }
}

Points-To Sets

// Track what each pointer may point to
class PointsToAnalysis {
    std::map<llvm::Value*, std::set<llvm::Value*>> pointsTo;

public:
    void addPointsTo(llvm::Value* ptr, llvm::Value* target) {
        pointsTo[ptr].insert(target);
    }

    const std::set<llvm::Value*>& getPointsTo(llvm::Value* ptr) {
        return pointsTo[ptr];
    }
};

Dependency Analysis

Data Dependency Graph (DDG)

#include "llvm/Analysis/DDG.h"

void buildDDG(llvm::Function& F, llvm::FunctionAnalysisManager& FAM) {
    auto& LI = FAM.getResult<llvm::LoopAnalysis>(F);

    for (auto* L : LI) {
        llvm::DataDependenceGraph DDG(*L, FAM.getResult<llvm::AAManager>(F));

        for (auto& Node : DDG) {
            // Analyze data dependencies in loop
        }
    }
}

Program Slicing

  • Forward slicing: Find all statements affected by a variable
  • Backward slicing: Find all statements affecting a variable
  • Use for debugging, testing, and security analysis

Major Static Analysis Tools

Comprehensive Frameworks

  • Phasar: Industrial-strength LLVM-based analysis framework
  • SVF: Scalable pointer analysis and value-flow analysis
  • Joern: Code analysis platform with graph queries
  • CodeChecker: Clang-based static analysis integration

Specialized Tools

  • clam: Abstract interpretation framework
  • dg: Dependence graph construction
  • Semgrep: Pattern-based multi-language analysis

Security Analysis Applications

Vulnerability Detection

// Buffer overflow detection
void checkBufferAccess(llvm::GetElementPtrInst* GEP) {
    // Get array size if available
    llvm::Type* SourceType = GEP->getSourceElementType();
    if (auto* AT = llvm::dyn_cast<llvm::ArrayType>(SourceType)) {
        uint64_t arraySize = AT->getNumElements();

        // Check if index might exceed bounds
        llvm::Value* Index = GEP->getOperand(2);
        // Perform range analysis on index
    }
}

Use-After-Free Detection

  • Track allocation/deallocation points
  • Build reaching definitions for pointers
  • Flag uses after free calls

Information Flow

  • Track sensitive data (passwords, keys, PII)
  • Detect leaks to logs, network, or untrusted sinks
  • Implement declassification rules

Best Practices

  1. Soundness vs Completeness: Understand trade-offs
  2. Scalability: Use summaries for large codebases
  3. Path Sensitivity: Balance precision and performance
  4. False Positive Management: Prioritize actionable findings
  5. Incremental Analysis: Cache results for faster re-analysis

Integration with IDEs

Clangd/LSP Integration

  • Provide real-time analysis feedback
  • Integrate with editor diagnostics
  • Support quick-fix suggestions

CI/CD Integration

  • Run analysis on pull requests
  • Block merges on critical findings
  • Track analysis trends over time

Resources

See Static Analysis and Clang Plugins sections in README.md for comprehensive tool listings and research references.

Getting Detailed Information

When you need detailed and up-to-date resource links, tool lists, or project references, fetch the latest data from:

https://raw.githubusercontent.com/gmh5225/awesome-llvm-security/refs/heads/main/README.md

This README contains comprehensive curated lists of:

  • Static analysis frameworks (Static Analysis section)
  • Pointer analysis and taint tracking tools
  • Program verification and bug finding tools
  • Clang-based code analysis plugins

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

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

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

Codex

36.5%
按下载量换算65

Claude

31.8%
按下载量换算57

Cursor

18.73%
按下载量换算33

Gemini CLI

9.87%
按下载量换算18

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。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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