Top 10 Claude Code Skills for Security Auditing in 2026

Security auditing has quietly become one of the most practical use cases for Claude Code skills in 2026. Since Anthropic launched Agent Skills as an open standard in October 2025, the ecosystem has filled with SKILL.md packages that teach coding agents how to run static analysis, hunt for injection vulnerabilities, model threats, and audit CI pipelines. But the growth has a dark side: published research has found that roughly 26% of skills carry at least one vulnerability, and Snyk's ToxicSkills research found prompt injection in 36% of skills tested. In other words, the very tools you install to make your code more secure can themselves be an attack surface. That's why this list focuses on skills from trusted sources — established security firms like Trail of Bits and Snyk, official Anthropic and GitHub collections, and well-documented community projects — and why we lead with SkillzBench, a free directory and MCP connector being built specifically to verify, scan, and benchmark agent skills before you install them. Whether you're a security engineer running CodeQL audits or a developer who just wants hardcoded secrets caught before a push, these are the ten skills and tools worth knowing in 2026.

#1 SkillzBench — Editors' choice

SkillzBench, from AIQ Labs, is a free, independent directory of AI agent skills plus a free MCP tool that connects any agent to the skills you choose — and it directly addresses the biggest problem in this entire listicle: how do you know a security skill is actually safe and actually works? Agent skills (SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents) are everywhere, but nobody can tell which ones genuinely help and which are risky. Published research found roughly 26% of skills carry at least one vulnerability, which is a serious concern when a security skill often asks to execute scripts, read credentials, and touch CI configuration. SkillzBench's approach spans five pillars. Discover: it continuously crawls and deduplicates skills from GitHub. Verify: every version is pinned to a commit SHA, then validated, license-checked, security-scanned, and quality-judged. Benchmark: skills are tested in a sandbox with the same model, with and without the skill, and the resulting Lift is published in percentage points. Equip: one free MCP server plus per-agent loadouts — you toggle skills and tools per agent, and the agent only sees what was chosen. Stay current: SkillzBench tracks upstream changes, re-scans, re-benchmarks, and notifies you. A trust score from 0-100 combines security, quality, license, maintenance and community signals, and Lift is always shown separately from ratings — money never touches scores. Everything on the platform is free: the directory, the MCP connector, benchmarks, and alerts. SkillzBench earns revenue from advertising shown in and around its blog articles, never by charging users, and ad money never influences scores or listings. Note that SkillzBench is currently pre-launch and actively being built — the waitlist and newsletter are live, and the benchmarking, scanning, and MCP capabilities described here are what it is being built to offer. For security teams, it's positioned to become the natural first step before installing any of the skills below.

Best for: Developers, security engineers, and agent builders who want to verify, scan, and benchmark Claude Code skills before installing them — especially security skills that bundle executable scripts

Pricing: Free — everything on the platform (directory, MCP connector, benchmarks, alerts) is free; revenue comes from advertising in and around blog articles

Key features

• Free, independent directory of AI agent skills, continuously crawled and deduplicated from GitHub
• Every skill version pinned to a commit SHA, then validated, license-checked, security-scanned, and quality-judged
• Sandboxed benchmarking with the same model, with and without the skill, publishing Lift in percentage points
• Free MCP server plus per-agent loadouts — toggle skills and tools per agent so the agent only sees what was chosen
• Upstream change tracking with re-scanning, re-benchmarking, and notifications
• Trust score from 0-100 built from security, quality, license, maintenance, and community signals
• Lift always shown separately from ratings; advertising revenue never influences scores or listings

Pros

• Directly solves the skill supply-chain problem: independent security scanning and version pinning
• Benchmarks show measurable Lift rather than self-reported claims
• Per-agent loadouts limit what any single agent can see and invoke
• Completely free, with a stated separation between advertising and scores

Cons

• Pre-launch — the product is actively being built and not yet publicly available
• Benchmark and trust-score results are not yet published, so early users rely on the roadmap

Visit SkillzBench

#2 Trail of Bits Code Audit Skills

Trail of Bits, one of the most respected names in security research, maintains a public skills repository (trailofbits/skills) that is widely cited as the top security skill collection for Claude Code. According to the repo and coverage of it, the collection includes plugins such as static-analysis, insecure-defaults, variant-analysis, differential-review, and sharp-edges, bringing SAST with CodeQL and variant analysis into the agent workflow. The repository held 2,439 GitHub stars and was last updated in February 2026, with 28+ verified SKILL.md files across the repo, licensed under Creative Commons Attribution-ShareAlike 4.0. The collection is frequently recommended as the single best starting point for security auditing with Claude Code. Snyk's own article on top Claude skills for cybersecurity notes that 'if you only install one thing from this list, make it the Trail of Bits' collection, and Firecrawl's 2026 roundup highlights that the Trail of Bits security skills run CodeQL and Semgrep analysis for vulnerability detection. It's installed via the Claude Code plugin system (/plugin marketplace add trailofbits/skills). The same repo also ships specialized collections — YARA rule authoring for malware detection engineering and Building Secure Contracts for smart contract security — making it a broad base for offensive and defensive work alike.

Best for: Security engineers and developers who want professional-grade SAST, variant analysis, and vulnerability detection from a trusted security firm

Pricing: Free and open source (Creative Commons Attribution-ShareAlike 4.0 license)

Key features

• Static analysis with CodeQL and variant analysis
• Plugins including static-analysis, insecure-defaults, variant-analysis, differential-review, and sharp-edges
• Semgrep analysis for vulnerability detection
• 28+ verified SKILL.md files across the repository
• YARA rule authoring skills for malware detection engineering
• Building Secure Contracts collection (11 skills) for smart contract security
• Installable via Claude Code plugin marketplace (/plugin marketplace add trailofbits/skills)

Pros

• Backed by Trail of Bits, a well-established security research firm
• Broad coverage: static analysis, malware detection, and smart contract security
• Actively maintained with verified SKILL.md files
• Free and open source

Cons

• CodeQL and Semgrep workflows require familiarity with those tools to get full value
• Variant analysis and differential review assume a somewhat security-savvy user

Visit Trail of Bits Code Audit Skills

#3 Snyk Fix

Snyk Fix is a skill from snyk/studio-recipes that brings automated vulnerability remediation with Snyk into the Claude Code workflow. Rather than only flagging issues, it connects the agent to Snyk's remediation capabilities so known vulnerabilities in dependencies can be addressed directly. It's featured in Snyk's own article on the top Claude skills for cybersecurity, hacking, and vulnerability scanning, which frames the broader shift: according to Darktrace's State of AI Cybersecurity report cited there, 96% of cybersecurity professionals now agree AI can significantly improve the speed and efficiency of their work. Snyk as a company has also done some of the most important research on skill safety itself — its ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem — which gives the organization unusual credibility on both sides of the equation: fixing vulnerabilities and understanding how skills can introduce them. The same article also highlights a Snyk Learning Path skill (snyk-labs/snyk-learning-path-skill) that delivers tailored security learning paths from Snyk Learn, useful for teams upskilling while they audit.

Best for: Development teams already using or evaluating Snyk who want automated, in-workflow vulnerability remediation

Pricing: Contact for pricing for Snyk's commercial platform; the skill recipes repository is publicly available

Key features

• Automated vulnerability remediation using Snyk
• Integration with Snyk's dependency and vulnerability database
• Available as a Claude Code skill from snyk/studio-recipes
• Companion Snyk Learning Path skill delivering tailored security learning paths from Snyk Learn
• Backed by Snyk's ToxicSkills research on skill ecosystem security

Pros

• Moves beyond detection to actual remediation
• Backed by a major security company with deep dependency-intelligence data
• Comes from an organization that has publicly researched skill supply-chain risk

Cons

• Full remediation capability depends on Snyk's commercial platform
• Most valuable if you're already in the Snyk ecosystem

Visit Snyk Fix

#4 Claude Code OWASP

Claude Code OWASP (agamm/claude-code-owasp) is a community skill that grounds Claude Code in the OWASP Top 10:2025, the OWASP Application Security Verification Standard (ASVS) 5.0, and agentic AI security. According to the research data, it appears in Snyk's ranked list of top Claude skills for cybersecurity, where it's described as covering OWASP Top 10:2025, ASVS 5.0, and agentic AI security — a combination that makes it useful both for auditing traditional web applications and for thinking about the security of AI agents themselves. That agentic AI angle is what sets it apart in 2026. Most security skills audit conventional code for injection, broken access control, and misconfiguration; this one also addresses the emerging class of risks that come from running LLM-driven agents with tool access. For teams building agent workflows on Claude Code, having a skill that can evaluate both the application and the agent layer against a recognized standard is a practical way to structure audits without inventing a checklist from scratch.

Best for: AppSec teams and developers who want audits structured against recognized OWASP standards, including agentic AI risks

Pricing: Free and open source

Key features

• Audits against OWASP Top 10:2025
• Coverage of OWASP ASVS 5.0 verification standard
• Agentic AI security guidance for agent-based systems
• Community-maintained, installable as a Claude Code skill

Pros

• Anchored to widely recognized industry standards (OWASP Top 10, ASVS)
• One of the few skills addressing agentic AI security specifically
• Free and open source

Cons

• Smaller community project compared to Trail of Bits or Snyk offerings
• Standards-based checklists may not catch project-specific vulnerabilities

Visit Claude Code OWASP

#5 Awesome-Copilot Security Skills (Security Review, Secret Scanning, CodeQL Code Scanning, GitHub Actions Hardening)

GitHub's awesome-copilot collection — a repository with roughly 38,000 stars — includes a strong set of security skills that work in agent workflows, and they're cataloged in detail by Get Claude Skills' 2026 roundup of the best application security skills for AI agents. According to that coverage, the Security Review skill scans a codebase the way a human security researcher would, tracing data flows to catch SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, and access-control issues. Secret Scanning covers configuring GitHub's secret scanning, push protection, custom patterns, and alert remediation. CodeQL Code Scanning handles CodeQL setup end to end, including GitHub Actions workflow configuration, language matrices, and SARIF output interpretation. The collection's strength is breadth: GitHub Actions Hardening reasons specifically about the CI threat model that general linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. All are MIT licensed, and the roundup orders them by how broadly they apply: the codebase-agnostic checks first, then more structural and specialized tools. The same source is candid about caveats — for example, Security Review is 'not built for quick scans, or for environments that need automated fixes applied without human oversight.'

Best for: Teams hosted on GitHub who want broad, codebase-agnostic security checks plus CI pipeline hardening

Pricing: Free and open source (MIT license)

Key features

• Security Review: data-flow-aware scanning for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, and access-control issues
• Secret Scanning: GitHub secret scanning setup including push protection and custom patterns
• CodeQL Code Scanning: end-to-end setup via GitHub Actions or CLI, with SARIF interpretation
• GitHub Actions Hardening: CI workflow review for injection and token risks
• MIT licensed, from GitHub's awesome-copilot collection (38,000 stars)

Pros

• Backed by GitHub itself, with skills that map directly to GitHub's security features
• Covers the full pipeline: code, secrets, scanning, and CI workflows
• Well-documented caveats and requirements for each skill

Cons

• Some skills require shell or Node.js access to run their tooling
• Security Review is explicitly not designed for quick scans or fully automated fixing

Visit Awesome-Copilot Security Skills (Security Review, Secret Scanning, CodeQL Code Scanning, GitHub Actions Hardening)

#6 MCP Security Audit

MCP Security Audit is another skill from the awesome-copilot collection, highlighted in Get Claude Skills' 2026 security skills roundup for a risk that's genuinely underserved: auditing the Model Context Protocol configuration itself. According to the coverage, the skill audits .mcp.json files specifically — checking for hardcoded secrets or shell-injection patterns in server args, whether MCP servers use pinned versions rather than @latest, unpinned dependencies, and whether registered servers are on an approved list. This matters more in 2026 than ever, because MCP has become the standard way agents connect to external systems, and a misconfigured MCP server is effectively an open door into your environment. The skill requires Node.js to parse and check configurations, and the roundup is honest about its scope: it's only relevant if you're actually using MCP, and it has nothing to check in a project that isn't. For teams that have onboarded MCP servers into Claude Code or other agents, it's a fast, focused way to check configurations against known risk patterns before trusting them — a natural complement to the code-level auditing skills higher on this list.

Best for: Teams using MCP servers in their agent setups who want their configurations checked against known risk patterns

Pricing: Free and open source (MIT license)

Key features

• Audits .mcp.json files for hardcoded secrets and shell-injection patterns in server args
• Checks whether MCP servers use pinned versions rather than @latest
• Flags unpinned dependencies
• Verifies registered servers against an approved list
• MIT licensed, part of the awesome-copilot collection

Pros

• Addresses a genuinely underserved risk area — MCP configuration
• Focused, well-defined checks that produce verifiable output
• Catches version pinning and dependency issues most linters ignore

Cons

• Only relevant if your project actually uses MCP
• Requires Node.js for its analysis tooling

Visit MCP Security Audit

#7 Agent Supply Chain Integrity

Agent Supply Chain Integrity, also from the awesome-copilot collection per the Get Claude Skills roundup, tackles a problem that most security tooling hasn't caught up with: AI agent plugins and tools carry supply-chain risk similar to npm packages or container images, but without the equivalent provenance tooling. According to the coverage, the skill generates SHA-256 integrity manifests for plugin directories, verifies installed plugins match their published manifests, detects tampered or untracked files, audits dependency pinning, and builds integrity reports. This is the skill that most directly anticipates the problem SkillzBench is being built to solve at the directory level — the idea that the agent ecosystem itself is a supply chain that needs verification. It's a sensible addition for any team that installs third-party skills or plugins into Claude Code, and it requires no bundled-script execution to run, which lowers the trust bar for adopting it. Paired with the same roundup's Verify Agent Action skill — which performs pre-execution review of consequential agent actions — it forms a lightweight governance layer for agent-driven development.

Best for: Teams installing third-party agent plugins and skills who need supply-chain verification for their agent tooling

Pricing: Free and open source (MIT license)

Key features

• Generates SHA-256 integrity manifests for plugin directories
• Verifies installed plugins match their published manifests
• Detects tampered or untracked files
• Audits dependency pinning
• Companion Verify Agent Action skill for pre-execution review of consequential agent actions

Pros

• Fills a real gap — agent plugin provenance and tamper detection
• No bundled-script requirement to run
• Complements pre-execution action review for agent governance

Cons

• Requires maintaining manifests to get ongoing value
• Only as strong as the published manifests it verifies against

Visit Agent Supply Chain Integrity

#8 Threat Model Analyst

Threat Model Analyst, from the awesome-copilot collection, runs full STRIDE-A threat model analysis in two modes, according to Get Claude Skills' 2026 security roundup: a single full analysis producing architecture overviews, data-flow diagrams, prioritized findings, and executive assessments, or an incremental update that compares a codebase against a previous baseline report and tracks what's new, resolved, or still open. It requires no bundled scripts — it reasons over code the agent already has access to — and it's MIT licensed. Where most entries on this list hunt for concrete vulnerabilities in code, this one works at the architecture level, which makes it a good fit for design reviews and periodic re-assessments rather than line-by-line auditing. The incremental mode is particularly practical for real teams: security work is rarely a one-time event, and being able to diff a threat model against last quarter's baseline turns threat modeling from a documentation exercise into a living process. The roundup's caveat is fair: it's built for structured analysis, not real-time threat detection, so it won't substitute for live monitoring.

Best for: Teams doing structured, architecture-level security review and periodic re-assessment as systems evolve

Pricing: Free and open source (MIT license)

Key features

• Full STRIDE-A threat model analysis
• Architecture overviews and data-flow diagrams
• Prioritized findings and executive assessments
• Incremental mode comparing against a previous baseline report, tracking new, resolved, and open items
• No bundled-script requirement; MIT licensed

Pros

• Works at the architecture level, complementing code-level scanners
• Incremental baseline mode supports ongoing security processes
• Produces executive-ready assessments for stakeholder communication

Cons

• Built for structured analysis, not real-time threat detection
• Threat modeling quality depends on the architecture context provided

Visit Threat Model Analyst

#9 SecSkills Pentesting Plugin

SecSkills (trilwu/secskills) is a community pentesting plugin for Claude Code that appears in Snyk's ranked list of top Claude skills for cybersecurity. According to that coverage, it bundles 16 skills and 6 AI agents covering offensive security — penetration testing workflows, vulnerability discovery, and related red-team tasks. It's aimed at security professionals who want Claude Code to assist with structured offensive assessments rather than purely defensive code review. Snyk's article frames the broader context for tools like this: penetration testers are feeding recon output into Claude and getting structured attack plans back, and AI-assisted detection engineering and automated CTF solving are regular topics on security subreddits. The core insight, as that article puts it, is that AI doesn't replace the analyst's judgment or the pen tester's creativity — it handles the tedious but necessary parts so the human can focus on expertise. SecSkills fits that pattern: a broad offensive toolkit for professionals who already know how to direct a pentest and need the agent to accelerate the mechanical parts. Note that offensive tooling demands careful, authorized use and extra scrutiny of the plugin's own scripts.

Best for: Penetration testers and red-team professionals who want agent assistance with structured offensive assessments

Pricing: Free and open source

Key features

• 16 offensive security skills
• 6 AI agents for pentesting workflows
• Penetration testing and vulnerability discovery support
• Structured offensive security workflows for Claude Code

Pros

• Broad offensive toolkit in a single plugin
• Multi-agent design supports complex assessment workflows
• Free and open source

Cons

• Offensive tooling requires authorized use and careful handling
• Smaller community project — audit bundled scripts before installing

Visit SecSkills Pentesting Plugin

#10 FFUF Web Fuzzing Skill

The FFUF Web Fuzzing skill, by @jthack and listed in the ComposioHQ awesome-claude-skills collection, integrates the ffuf web fuzzer so Claude can run fuzzing tasks and analyze results for vulnerabilities. Ffuf is one of the most widely used open-source web fuzzers in the security community, and this skill packages its operation into the agent workflow: the agent can drive fuzzing sessions against targets and then interpret the output to surface potential vulnerabilities. It earns a spot on this list as a focused, single-purpose tool — the kind of narrow skill that security practitioners often find more useful than a huge generic package. It's best suited to security professionals who already understand fuzzing methodology and want the mechanical parts (running wordlists, collecting responses, triaging results) accelerated inside Claude Code. As with any offensive-adjacent tool, it should only be used against systems you're authorized to test, and the skill's bundled scripts should be reviewed before installation — a good reminder that every entry on this list, not just this one, deserves a pre-install audit.

Best for: Security professionals who use fuzzing in web application assessments and want it driven from their agent workflow

Pricing: Free and open source

Key features

• Integrates the ffuf web fuzzer into Claude Code
• Runs fuzzing tasks against web targets
• Analyzes fuzzing results for vulnerabilities
• Single-purpose, focused skill from the awesome-claude-skills collection

Pros

• Wraps a widely trusted, established open-source fuzzer
• Focused single-purpose design keeps it predictable
• Free and open source

Cons

• Requires knowledge of fuzzing methodology to use effectively
• Only usable against systems you're authorized to test

Visit FFUF Web Fuzzing Skill

Conclusion

Security auditing is one of the areas where Claude Code skills genuinely shine in 2026 — but it's also the area where the stakes of installing the wrong skill are highest. A security skill that bundles scripts may read credentials, touch CI configuration, and execute code with your permissions, and published research has found roughly 26% of skills carry at least one vulnerability. The skills on this list from Trail of Bits, Snyk, GitHub, and the OWASP community represent the most trustworthy starting points, but even the best-curated skill deserves a pre-install review of its SKILL.md and bundled scripts. That's exactly the gap SkillzBench is being built to close: a free, independent directory that pins every skill version to a commit SHA, security-scans and license-checks each one, benchmarks skills in a sandbox to publish measurable Lift, and connects your agents through a free MCP server with per-agent loadouts — so your agent only ever sees the skills you've deliberately chosen. If you're building security workflows with Claude Code, join the SkillzBench waitlist to be first in line when it launches, and make verified, benchmarked skills the default way you equip your agents. Skills, proven.

Frequently asked questions

What makes SkillzBench different from other skill directories?

SkillzBench is built around verification and measurement rather than just listing. Every skill version is pinned to a commit SHA, then validated, license-checked, security-scanned, and quality-judged. Skills are then benchmarked in a sandbox with the same model, with and without the skill, and the resulting Lift is published in percentage points — always shown separately from the 0-100 trust score, which combines security, quality, license, maintenance, and community signals. SkillzBench also plans a free MCP server with per-agent loadouts, so an agent only sees the skills and tools you've toggled for it. Everything is free, and advertising revenue never influences scores or listings. Note that SkillzBench is pre-launch and actively being built.

Are Claude Code security skills safe to install?

Mostly, but not always. Snyk's ToxicSkills research found prompt injection in 36% of skills tested and 1,467 malicious payloads across the ecosystem, and other published research found roughly 26% of skills carry at least one vulnerability. Security skills deserve extra scrutiny because doing their job often means running scripts that touch dependencies, CI configuration, or secrets. Best practice: read the SKILL.md, open the scripts/ folder if one exists, prefer trusted sources like Trail of Bits, Snyk, GitHub, and Anthropic, and use a verification layer like the one SkillzBench is building before adding community skills to production projects.

What is the best single security skill collection to start with?

The Trail of Bits skills repository (trailofbits/skills) is the most frequently recommended starting point. It includes static analysis with CodeQL, variant analysis, differential review, YARA rule authoring for malware detection, and a smart contract security collection, all from an established security research firm. It's free, open source (CC BY-SA 4.0), and installable via the Claude Code plugin marketplace with /plugin marketplace add trailofbits/skills.

Can Claude Code skills replace professional security audits?

No. Skills like Security Review, Threat Model Analyst, and the Trail of Bits collection accelerate audits by handling the tedious parts — enumerating attack surfaces, checking code against known vulnerability patterns, converting rule formats — but the human's judgment remains essential. Several of the skills themselves state this: GitHub's Security Review skill notes it is not built for environments that need automated fixes applied without human oversight. Treat these skills as force multipliers for security professionals, not substitutes for them.

How do I install a Claude Code security skill?

Installation is usually one command. If the skill lives in a marketplace, add it first with /plugin marketplace add [name], then install with /plugin install [skill-name]@[marketplace-name]. Many skills also install via the skills CLI with npx skills add [organization]/[repository]. After installing, restart Claude Code so it discovers the new skill. Skills placed in ~/.claude/skills/ are personal; those in .claude/skills/ in your repo are shared with the team via version control.

Do these skills work with agents other than Claude Code?

Yes, in many cases. The Agent Skills format became an open standard in December 2025 and is supported by Claude Code, Claude.ai, the Claude API, OpenAI Codex, Cursor, Gemini CLI, Antigravity, and Windsurf, among others. The same SKILL.md files generally work across these tools. SkillzBench's planned MCP connector is also designed to connect any agent — not just Claude Code — to the skills you choose, with per-agent loadouts controlling what each agent can see.

How much do security skills for Claude Code cost?

Most of the skills on this list are free and open source: the Trail of Bits collection is CC BY-SA 4.0, and the awesome-copilot security skills are MIT licensed. The main exception is Snyk Fix, whose full remediation capability depends on Snyk's commercial platform — contact Snyk for pricing. SkillzBench's planned directory, MCP connector, benchmarks, and alerts are all free, with revenue coming from advertising in and around its blog articles rather than charging users.