SKILL·901B89

variant-analysis

trailofbits
Updated 13 days ago
37 views
7,515
642
7,515
View on GitHub
Developmentai

About

This skill finds duplicate instances of a known bug or vulnerability across your codebase. It helps generalize a specific issue into a query to hunt for similar patterns and triage potential matches. Use it after discovering an initial bug to systematically locate all variants, not for initial discovery.

Quick Install

Claude Code

Recommended
Primary
npx skills add trailofbits/skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/trailofbits/skills
Git CloneAlternative
git clone https://github.com/trailofbits/skills.git ~/.claude/skills/variant-analysis

Copy and paste this command in Claude Code to install this skill

Documentation

Variant Analysis

Find the other instances of a bug you have already found. One root cause usually has several manifestations, and they are rarely in the module where you found the first one.

When to Use

  • A vulnerability has been found and you need to search for similar instances
  • Building or refining CodeQL/Semgrep queries for security patterns
  • Performing systematic code audits after an initial issue discovery
  • Analyzing how a single root cause manifests in different code paths

When NOT to Use

  • Initial vulnerability discovery — use audit-context-building or a domain-specific audit
  • General code review with no known pattern to search for
  • Writing fix recommendations — use issue-writer
  • Understanding unfamiliar code — use audit-context-building first

The Five Steps

Read the reference for a step when you reach it.

1. Understand the original issue. Extract the root cause — why the code is wrong, not what it does — and enumerate the directions a variant could hide in: related identifiers, other manifestations of the same mistake, data-type edge cases. → references/root-cause.md

2. Create an exact match. Write a pattern matching ONLY the known instance and confirm it hits. A pattern that matches nothing means you have misunderstood the bug, and every search built on it is calibrated against the wrong code.

3–4. Generalize one element at a time. Climb from the exact match toward the pattern family, running and reading all matches after each single change. Stop when more than half the matches are noise. → references/searching.md — abstraction ladder, tool selection, false-positive filters

5. Triage. Decide which candidates are real, and say so with a severity attached. → references/triage.md

Then write it up, including the patterns that failed and a CI rule to prevent regression. → references/reporting.md

Running it as a Workflow

This plugin ships /variant-analysis:variants, which runs the five steps across parallel subagents — one per expansion axis, looping until the sweep stops finding anything new. Each stage reads the reference above that matches its job.

Use the workflow when the codebase is large or the root cause has many manifestations. Work the steps directly when the search is narrow or you want a say in each generalization.

What Makes Hunts Fail

  1. Narrow scope — searching only the module the original bug was in
  2. Pattern too specific — searching one attribute and missing the family around it
  3. One vulnerability class — chasing a single manifestation of the root cause
  4. Happy-path testing — never trying the null, empty, and boundary cases
  5. Generalizing too fast — abstracting several elements at once, so noise cannot be attributed to any one of them

The first three are covered in root-cause.md and searching.md, the fourth in triage.md.

Resources

CodeQL (resources/codeql/): python.ql, javascript.ql, java.ql, go.ql, cpp.ql

Semgrep (resources/semgrep/): python.yaml, javascript.yaml, java.yaml, go.yaml, cpp.yaml

Report: resources/variant-report-template.md

GitHub Repository

trailofbits/skills
Path: plugins/variant-analysis/skills/variant-analysis
0
agent-skills
FAQ

Frequently asked questions

What is the variant-analysis skill?

variant-analysis is a Claude Skill by trailofbits. Skills package instructions and resources that Claude loads on demand, so Claude can perform variant-analysis-related tasks without extra prompting.

How do I install variant-analysis?

Use the install commands on this page: add variant-analysis to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does variant-analysis belong to?

variant-analysis is in the Development category, tagged ai.

Is variant-analysis free to use?

Yes. variant-analysis is listed on AIMCP and free to install.

Related Skills

qmd
Development

qmd is a local search and indexing CLI tool that enables developers to index and search through local files using hybrid search combining BM25, vector embeddings, and reranking. It supports both command-line usage and MCP (Model Context Protocol) mode for integration with Claude. The tool uses Ollama for embeddings and stores indexes locally, making it ideal for searching documentation or codebases directly from the terminal.

View skill
subagent-driven-development
Development

This skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.

View skill
mcporter
Development

The mcporter skill enables developers to manage and call Model Context Protocol (MCP) servers directly from Claude. It provides commands to list available servers, call their tools with arguments, and handle authentication and daemon lifecycle. Use this skill for integrating and testing MCP server functionality in your development workflow.

View skill
adk-deployment-specialist
Development

This skill deploys and orchestrates Vertex AI ADK agents using A2A protocol, managing AgentCard discovery, task submission, and supporting tools like Code Execution Sandbox and Memory Bank. It enables building multi-agent systems with sequential, parallel, or loop orchestration patterns in Python, Java, or Go. Use it when asked to deploy ADK agents or orchestrate agent workflows on Google Cloud.

View skill