static-analysis

static-analysis is a skill for Claude Code from gmh5225/awesome-llvm-security. It costs 48 tokens per session (1,730 once invoked), scanned A, original, MIT.

A set of methods for examining program code without running it, using LLVM, a collection of compiler and code-analysis tools. It covers how data, control flow, pointers, and possible security problems move through code.

In plain words
What is it for?
Use it to build security scanners and bug finders, trace how values move through a program, inspect loops and execution paths, and research program verification.
Why use it?
It helps find bugs, security weaknesses, and code-quality problems before the program runs. It also provides ways to check whether code follows expected rules.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to build security scanners and bug finders, trace how values move through a program, inspect loops and execution paths, and research program verification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gmh5225/awesome-llvm-security/static-analysis
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add gmh5225/awesome-llvm-security --skill static-analysis
Clone the repo
git clone --depth 1 https://github.com/gmh5225/awesome-llvm-security

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for static-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/gmh5225/awesome-llvm-security/static-analysis.svg)](https://agentmods.dev/skills/gmh5225/awesome-llvm-security/static-analysis)
Your own site
<a href="https://agentmods.dev/skills/gmh5225/awesome-llvm-security/static-analysis"><img src="https://agentmods.dev/badge/skills/gmh5225/awesome-llvm-security/static-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,730 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.01730
Opus 5 $0.00024 $0.00865
Sonnet 5 $0.00010 $0.00346
Haiku 4.5 $0.00005 $0.00173

Measured 7d ago against content hash 1e71572a108d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

static-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/static-analysis/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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;
}

Read the full file on GitHub · 249 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 249 lines · 48 tokens per session scan A 1e71572a108d

Subscribe to this mod's changes

static-analysis is a skill published in the GitHub repository gmh5225/awesome-llvm-security (879 stars, last pushed 23d ago), licensed MIT. It adds 48 tokens to every session and 1,730 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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