7 Cursor Skills That Supercharge Security Auditing in 2026

Security auditing has quietly become one of the highest-stakes workflows in modern software development, and in 2026, AI coding agents like Cursor are right in the middle of it. Cursor's Agent can now be extended with skills — portable SKILL.md instruction packages that teach the agent specialized workflows — and a growing ecosystem of security-focused skills has emerged to help teams review code for vulnerabilities, catch injection risks, audit dependencies, and keep AI-generated code from shipping with real flaws. But there's a catch: published research found roughly 26% of agent skills carry at least one vulnerability, and researchers have demonstrated prompt injection and hidden payloads in rules and skill files. That means choosing which skills to trust is itself a security decision. This listicle rounds up seven options — from independent skill directories with verification and benchmarking to curated skill collections and enterprise security platforms — that genuinely help teams supercharge security auditing with Cursor in 2026.

#1 SkillzBench — Editors' choice

SkillzBench is AIQ Labs' free, independent directory of AI agent skills, plus a free MCP tool that connects any agent — including Cursor — to the skills you choose. While other entries on this list help you find or write security skills, SkillzBench is the only one built specifically to answer the question that matters most for security auditing: can this skill actually be trusted? Published research found that roughly 26% of skills carry at least one vulnerability, and SkillzBench is being built to address exactly that gap. Its pipeline is designed around five pillars: Discover (continuously crawl and dedupe skills from GitHub), Verify (pin every version to a commit SHA, validate, license-check, security-scan, and quality-judge each skill), Benchmark (test every skill in a sandbox with the same model, with and without the skill, publishing the resulting Lift in percentage points), Equip (a free MCP server plus per-agent loadouts, where users toggle skills and tools per agent and the agent only sees what was chosen), and Stay current (track upstream changes, re-scan, re-benchmark, and notify). Every skill gets a 0–100 Trust score built from security, quality, license, maintenance, and community signals — and crucially, Lift is always shown separately from ratings, and money never touches scores. For security auditing specifically, this means you can assemble a vetted loadout of review and audit skills for Cursor with confidence that each one has been security-scanned and version-pinned, rather than copying whatever SKILL.md file you found first on GitHub. SkillzBench is currently pre-launch and actively being built, with a live waitlist/newsletter, and everything on the platform — the directory, the MCP connector, benchmarks, and alerts — will be free, funded by advertising around its blog content that never influences scores or listings.

Best for: Developers, security engineers, and teams using Cursor (or any AI agent) who want verified, security-scanned, benchmarked skills instead of blindly trusting community SKILL.md files

Pricing: Free — the directory, MCP connector, benchmarks, and alerts are all free; revenue comes from advertising on blog articles

Key features

• Independent, free directory of AI agent skills crawled and deduped from GitHub
• Verification pipeline: every skill version pinned to a commit SHA, validated, license-checked, security-scanned, and quality-judged
• Sandboxed benchmarking that tests each skill with the same model, with and without the skill, publishing Lift in percentage points
• Free MCP server that connects any agent (including Cursor) to your chosen skills
• Per-agent loadouts: toggle skills and tools per agent so the agent only sees what was selected
• 0–100 Trust score from security, quality, license, maintenance, and community signals
• Upstream change tracking with re-scanning, re-benchmarking, and notifications
• Lift always shown separately from ratings; advertising money never influences scores

Pros

• Purpose-built to address the documented risk that ~26% of skills carry vulnerabilities
• Version-pinning to commit SHA plus security scanning gives auditable provenance for every skill
• Sandboxed benchmarking with published Lift shows whether a skill actually helps
• Per-agent loadouts limit what the agent can see, reducing attack surface
• Completely free, with scores and listings explicitly firewalled from revenue

Cons

• Currently pre-launch — the product is actively being built and not yet publicly available
• Benchmark results are not yet published, so early adopters join via the waitlist
• As a directory and connector, it complements rather than replaces dedicated SAST/SCA tooling

Visit SkillzBench

#2 Cursor's Built-in Security Skills (/review-security and /review-bugbot)

The most direct way to add security auditing to Cursor is already inside the editor. According to Cursor's official documentation, Cursor ships a set of built-in Agent Skills, including /review-security, which reviews code for security vulnerabilities, and /review-bugbot, which reviews code for likely bugs and regressions using Bugbot. These skills are managed by Cursor, appear alongside any skills you add yourself, and can be invoked by typing / in Agent chat — or the agent may use them automatically when your request clearly matches their purpose. The engineering behind them is notable: Cursor's own security team, as reported by Snyk in March 2026, built autonomous security review agents on Cursor Automations that review thousands of internal PRs per week and have caught hundreds of real vulnerabilities, and the company open-sourced the prompt templates. The published security review prompt is remarkably concise — a role, a goal, a four-step methodology, and a priority list covering injection risks, authentication bypasses, secret leakage, SSRF, XSS, path traversal, and unsafe deserialization. For teams already on Cursor, these built-in skills are the zero-setup baseline every security workflow should start from.

Best for: Cursor users who want immediate, zero-setup security review of code and pull requests inside the editor

Pricing: Included with Cursor; Cursor Pro is $20/month according to third-party pricing comparisons

Key features

• /review-security skill reviews code for security vulnerabilities
• /review-bugbot reviews code for likely bugs and regressions with Bugbot
• Invocable via / in Agent chat or usable as a Custom Mode for a whole session
• Open-sourced security review prompt template with a structured four-step methodology
• Prioritizes injection risks, authn/authz bypasses, secret leakage, SSRF, XSS, path traversal, and unsafe deserialization
• Built-in skills are managed by Cursor and appear alongside user-added skills

Pros

• Built into Cursor — no installation or configuration needed
• Backed by Cursor's own production security team and open-sourced templates
• Proven at scale, reviewing thousands of internal PRs per week at Cursor
• Simple, readable prompt methodology that teams can adapt

Cons

• LLM-based review can produce false positives and false negatives, as Snyk's analysis notes
• Operates primarily on code generation, not on the supply chain or agent-behavior dimensions of security
• Tied to the Cursor ecosystem

Visit Cursor's Built-in Security Skills (/review-security and /review-bugbot)

#3 awesome-cursor-skills (parallel-code-review and network-request-auditing)

The awesome-cursor-skills repository, curated by Spencer Pauly on GitHub, is a growing collection of ready-to-use SKILL.md files that teach Cursor's agent specific engineering workflows. For security auditing, two entries stand out. The parallel-code-review skill runs four read-only subagents in parallel — security, performance, correctness, and readability — and merges their findings into a single review report, giving security concerns a dedicated, focused analysis pass rather than competing for attention in one general review. The network-request-auditing skill uses the browser's network log to flag failed requests, slowness, duplicates, and risky payloads after real user interactions — a practical way to catch data-egress and insecure-communication issues that static review can miss. The collection also includes related skills like visual-qa-testing, which takes screenshots and audits network requests after changes, and api-smoke-testing, which discovers API routes and reports which endpoints return errors. Because these are open, copy-paste SKILL.md files, teams can inspect and adapt every instruction before installing them.

Best for: Developers who want community-built, transparent security and QA review skills they can inspect and customize

Pricing: Free and open source

Key features

• parallel-code-review: four read-only subagents covering security, performance, correctness, and readability, merged into one report
• network-request-auditing: flags failed requests, slowness, duplicates, and risky payloads from browser network logs
• visual-qa-testing: screenshots, console-error checks, and network-request audits after changes
• api-smoke-testing: discovers API routes, hits every endpoint, and reports errors
• Ready-to-use SKILL.md files that live in .cursor/skills/ and are auto-discovered
• Open-source and community-contributed

Pros

• Dedicated security subagent ensures vulnerabilities aren't drowned out by style feedback
• Runtime network auditing complements static code review
• Fully transparent — every instruction is readable before install
• Free and easy to contribute to or fork

Cons

• Community-maintained, so quality and freshness vary between skills
• No independent security verification or benchmarking of the skills themselves
• Requires manual copying into .cursor/skills/ directories

Visit awesome-cursor-skills (parallel-code-review and network-request-auditing)

#4 Agensi code-reviewer Skill

Agensi is a skills marketplace that, according to its 2026 rankings, filters its catalogue down to skills Cursor loads without modification, since SKILL.md is an open standard and skills live in .cursor/skills/. Its most installed skill is code-reviewer, with 447 installs at the time of research, which reviews code for bugs, security vulnerabilities, logic errors, performance issues, and style violations, with findings organized by severity and suggested fixes. That severity-organized output is particularly useful for security auditing, because it lets a team triage what matters first instead of wading through undifferentiated feedback. Agensi also lists complementary skills such as java-best-practice-checker, which audits Java code for performance leaks, threading risks, and modernization gaps across Java SE 8 through 24, and truth-first, which eliminates hallucinations by forcing evidence-first verification of system state, configs, and file contents before making changes — a discipline that materially improves audit reliability. Agensi notes that Cursor users can either install compatible skills locally or connect Cursor to Agensi through MCP, with the agent loading the latest approved instructions on demand.

Best for: Teams that want a marketplace-curated, severity-ranked code and security review skill with straightforward Cursor compatibility

Pricing: The listed code-review skills are free; Agensi notes paid skills require ownership

Key features

• code-reviewer skill (447 installs) reviews for bugs, security vulnerabilities, logic errors, performance issues, and style violations
• Findings organized by severity with suggested fixes
• java-best-practice-checker audits for performance leaks, threading risks, and modernization gaps (Java SE 8–24)
• truth-first skill forces evidence-first verification before changes
• Cursor skills marketplace filtering for SKILL.md compatibility
• MCP connection option that loads the latest approved skill instructions on demand

Pros

• Severity-organized findings make security triage practical
• Most-installed review skill on the platform, indicating real adoption
• Works in Cursor out of the box via the open SKILL.md standard
• MCP option keeps instructions up to date without manual file management

Cons

• Install counts are modest compared to larger skill ecosystems
• Agensi instructs users not to write purchased skill content to disk, which limits local customization
• General review focus rather than deep security specialization

Visit Agensi code-reviewer Skill

#5 Snyk (Layered Deterministic Security for Cursor Workflows)

Snyk approaches the problem from a different angle: rather than being a Cursor skill itself, it provides the deterministic security layer that makes LLM-based audit skills trustworthy. In its March 2026 analysis of Cursor's security agents, Snyk argued that when your detection layer is entirely probabilistic, you accept both false positives (which erode developer trust) and false negatives (which leave real vulnerabilities in production), and that 'the agent cannot mark its own homework' — you need independent validation confirming what the LLM found. Snyk's own deterministic SAST product, Snyk Code, catches known vulnerability patterns with mechanical precision while the LLM catches novel, cross-file logic bugs. Snyk also frames agentic security across three dimensions: the code agents generate, the supply chain they depend on (MCP servers, automation templates, agent skills, and plugins), and the behavior of the agents themselves. The company highlights real-world results from organizations like Labelbox, which cleared a multi-year vulnerability backlog by running Cursor and Snyk together — a pairing that maps naturally onto a Cursor-plus-skills security workflow.

Best for: Enterprise teams that want deterministic SAST and supply-chain scanning layered underneath their Cursor-based LLM security reviews

Pricing: Contact for pricing

Key features

• Snyk Code deterministic SAST that catches known vulnerability patterns mechanically
• Three-dimensional framework: generated code, supply chain (including agent skills and MCP servers), and agent behavior
• Independent validation layer for LLM-based security review findings
• Documented enterprise case study (Labelbox) clearing a multi-year vulnerability backlog with Cursor plus Snyk
• Detailed public analysis of Cursor's security agents and their limitations

Pros

• Catches known patterns that LLM reviewers can miss or misread
• Explicitly addresses the false-positive/false-negative risks of LLM-only review
• Covers the supply-chain dimension, including agent skills and MCP servers
• Strong thought leadership with published research on agentic security

Cons

• Not a Cursor skill itself — requires integrating an external platform
• Enterprise pricing is not publicly listed
• Adds a separate tool and workflow beyond the editor

Visit Snyk (Layered Deterministic Security for Cursor Workflows)

#6 Pillar Security (AI Coding Agent Security Platform)

Pillar Security represents the enterprise end of securing AI coding agents like Cursor, Claude Code, Codex CLI, and Gemini CLI. Its October 2026 guide to AI coding agent security tools emphasizes that the risk lives in configuration, not binaries — the same Cursor installation is safe or dangerous depending on its settings files: which permission prompts are skipped, which MCP servers load, and which hooks and skills are installed. Pillar parses agent configuration for tools including Cursor, enforces pre-action controls that can allow, ask, or deny an action before it runs, and checks MCP servers against a catalog of more than 23,000 analyzed servers. The company's published research has surfaced real attack techniques relevant to any team auditing with skills: invisible Unicode in Cursor rules files steering agents to write backdoored code, and sandbox escapes across Cursor, Codex, Gemini CLI, and Antigravity. Pillar also notes the OWASP Agentic Skills Top 10 (April 2026), the first OWASP taxonomy written for this surface, covering malicious skills, supply-chain compromise, over-privileged skills, weak isolation, and missing governance. For teams running security-audit skills in Cursor at scale, this is the governance and runtime-control layer.

Best for: Enterprises that need to audit how every Cursor instance is configured and block dangerous agent actions before they execute

Pricing: Contact for pricing (demo required)

Key features

• Configuration posture parsing for Claude Code, Cursor, Gemini CLI, Codex CLI, and OpenCode
• Pre-action controls that allow, ask, or deny agent actions before they run
• MCP server checking against a catalog of 23,000+ analyzed servers
• Published research on rules-file backdoors and sandbox escapes in Cursor and other agents
• Coverage aligned to the OWASP Agentic Skills Top 10 taxonomy
• Cloud, self-hosted, and hybrid deployment options

Pros

• Addresses the configuration and agent-behavior dimensions skills can't cover
• Deep, current research on real attack techniques against coding agents
• Pre-action enforcement rather than after-the-fact detection
• Broad multi-agent coverage beyond just Cursor

Cons

• Enterprise-focused; not a lightweight option for individual developers
• Pricing requires a sales conversation
• Most hook-based enforcement fails open when its daemon is unreachable — a limitation Pillar's own documentation acknowledges

Visit Pillar Security (AI Coding Agent Security Platform)

#7 Endor Labs (Securing AI-Generated Code and Dependencies)

Endor Labs focuses on the security risks introduced by AI-generated code itself — the exact output your Cursor audit skills will be reviewing. Its 2026 guide to Cursor security documents why traditional IDE controls and static analysis struggle here: research cited by Endor Labs found vulnerable dependencies in roughly 40% of AI-generated code, and AI models suggest packages based on popularity rather than security posture, making them vulnerable to typosquatting and supply-chain attacks. The guide catalogs specific risks that any security-audit skill should be checked against, including prompt injection hidden in file comments or READMEs, malicious payloads weaponized in rules files, token and credential leaks in generated test and boilerplate code, context poisoning across projects, and unreviewed auto-run execution by agents. Endor Labs also gives credit where it's due, noting Cursor's own foundations: SOC 2 Type II compliance, Workspace Trust requiring explicit approval before code-executing features enable, Network Request Controls for managing data egress, and Privacy Mode. Pairing a dependency-and-code-scanning platform like this with Cursor's audit skills closes the loop on both the code and the supply chain.

Best for: Teams that need dependency and reachability analysis for AI-generated code produced in Cursor, especially against supply-chain attacks

Pricing: Contact for pricing

Key features

• Analysis of AI-generated code risks that traditional SAST/SCA tools miss
• Dependency vulnerability scanning with current vulnerability intelligence
• Documented coverage of prompt injection, rules-file payloads, credential leaks, and context poisoning risks
• Supply-chain protection against malicious and typosquatted package suggestions
• Detailed public guidance on Cursor's built-in controls (Workspace Trust, Network Request Controls, Privacy Mode)

Pros

• Directly targets the ~40% vulnerable-dependency rate found in AI-generated code
• Comprehensive, well-researched taxonomy of AI-code security risks
• Complements rather than duplicates LLM-based review skills
• Balanced, factual treatment of Cursor's own security posture

Cons

• Not a skill or editor extension — a separate platform to integrate
• No public pricing
• Focuses on code and dependencies, not agent configuration or behavior

Visit Endor Labs (Securing AI-Generated Code and Dependencies)

Conclusion

Security auditing with Cursor in 2026 is genuinely a two-sided problem: you need the right skills to make the agent an effective auditor, and you need to make sure the skills themselves — and the code they review — are safe to trust. Start with Cursor's built-in /review-security skill as your baseline, layer in community and marketplace skills like parallel-code-review and code-reviewer for deeper passes, and back the whole workflow with deterministic scanning from tools like Snyk, Endor Labs, or Pillar Security where your risk profile demands it. The piece most teams miss is verification of the skills themselves — and that's exactly where SkillzBench comes in. SkillzBench is building a free, independent directory that security-scans, version-pins, and sandbox-benchmarks every skill, publishes a 0–100 Trust score and measured Lift, and connects any agent via a free MCP server with per-agent loadouts. Everything is free, and scores are never influenced by money. If you're assembling a security-audit toolkit for Cursor, join the SkillzBench waitlist to be first in line when it launches — and browse the blog for practical guides on choosing and equipping agent skills. Skills, proven.

Frequently asked questions

What are Cursor skills, and how do they help with security auditing?

Cursor skills are portable, version-controlled SKILL.md instruction packages that teach Cursor's Agent how to perform domain-specific tasks. According to Cursor's documentation, skills are auto-discovered from directories like .cursor/skills/ and can include scripts, templates, and references the agent acts on. For security auditing, skills like Cursor's built-in /review-security or community skills like parallel-code-review give the agent a structured methodology for finding vulnerabilities — injection risks, auth bypasses, secret leakage, and more — rather than relying on generic, unguided review.

Are agent skills themselves a security risk?

Yes, and this is well documented. Published research found roughly 26% of agent skills carry at least one vulnerability, and researchers at Pillar Security demonstrated rules-file backdoors using invisible Unicode that steer agents to write backdoored code. The OWASP Agentic Skills Top 10 (April 2026) is the first OWASP taxonomy written for this surface, covering malicious skills, supply-chain compromise, over-privileged skills, and weak isolation. This is why verification platforms like SkillzBench — which security-scans, version-pins, and benchmarks every skill — matter as much as the audit skills themselves.

What makes SkillzBench different from other skill directories?

SkillzBench is the only entry on this list that independently verifies and benchmarks the skills themselves. It's building a pipeline that pins every skill version to a commit SHA, validates, license-checks, security-scans, and quality-judges each one, then tests it in a sandbox with the same model — with and without the skill — to publish a measured Lift in percentage points. Its 0–100 Trust score draws from security, quality, license, maintenance, and community signals, Lift is always shown separately from ratings, and money never touches scores. Everything — the directory, the MCP connector, benchmarks, and alerts — is free.

Can LLM-based security review skills replace traditional SAST tools?

Not yet, and even Cursor's own security team keeps humans in the loop — its review agent explicitly does not push fixes. Snyk's March 2026 analysis notes that LLM reviewers can confidently flag a 'critical SQL injection' in a perfectly safe parameterized query, or miss a real vulnerability as attention drifts across a large codebase. The recommended pattern is layering: deterministic SAST catches known patterns with mechanical precision while the LLM catches novel, cross-file logic bugs. You want both.

How much does it cost to set up security-audit skills in Cursor?

The skills themselves are mostly free — Cursor's built-in /review-security is included with the editor (Cursor Pro runs $20/month), and community skills from awesome-cursor-skills or Agensi's free review skills cost nothing. SkillzBench's directory, MCP connector, benchmarks, and alerts are all free as well. The larger costs come from enterprise platforms like Snyk, Pillar Security, or Endor Labs, which require contacting sales for pricing.

Is SkillzBench available now?

SkillzBench is currently pre-launch and actively being built — the waitlist and newsletter are live, but the product itself is not yet public, so it doesn't yet claim live user counts, skill counts, or published benchmark results. The verification, benchmarking, scanning, and free MCP connector described here are what SkillzBench is building and will offer. Joining the waitlist is the way to get early access when it launches.