Skill Audit & Risk Report for Founders

SkillzBench is the independent testing lab for AI agent skills, giving founders a clear audit of security, quality, and real performance lift before a risky skill ever reaches your agents.

The Hidden Risk Inside Your AI Toolchain

Unvetted agent skills

Roughly 1 in 4 AI Agent Skills Ships With a Vulnerability

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Published research found that about of AI agent skills carry at least one vulnerability. For security operators — an industry where 62% of enterprises have boosted security investments due to rising threats — installing unvetted SKILL.md packages into Claude Code, Cursor, or Codex agents is the equivalent of granting unbadged contractors access control system credentials without a background check. Founders deploying these instruction packages into production tooling today have zero visibility into what the instructions actually do.

Your Security Team Is Already Short-Staffed

67%

The cybersecurity workforce gap sits at roughly 4.8 million professionals, and 67% of cybersecurity organizations report being short on staff — a pressure that mirrors the 41% of security providers citing a shortage of qualified personnel. Nobody running lean guard force management or SOC operations has time to manually audit every community skill before deployment. Each manual review cycle pulls your analysts away from post coverage, incident response, and access control monitoring.

No Way to Separate Skill Hype From Actual Lift

62%

Skill marketplaces are full of star ratings and download counts, but offer no evidence of whether a skill actually improves agent performance. In a manned security market valued at USD 261.70 billion in 2025 and projected to reach USD 393.51 billion by 2034, security founders are betting real operations on unverified tooling — with no benchmark showing performance with and without the skill, you're buying on faith, not data.

How SkillzBench <span class="gradient">Audits and Benchmarks</span> Every Skill Before You Trust It

An independent control panel for AI agent skills — built for founders who can't afford a bad deploy.

SkillzBench continuously discovers and dedupes skills from GitHub, pins every version to a commit SHA, runs license checks and security scans, and quality-judges each package. Then it benchmarks every skill in a sandbox — same model, with and without the skill — and publishes the Lift in percentage points so you can see real impact, separate from ratings. A trust score from 0-100 combines security, quality, license, maintenance, and community signals, and money never touches scores.

• Security scanning, license checks, and version pinning to a commit SHA on every skill we verify
• Sandbox benchmarking that publishes Lift in percentage points — with and without the skill, same model
• A 0-100 trust score built from security, quality, license, maintenance, and community signals

Why Security Founders <span class="gradient">Choose SkillzBench</span>

Deploy Without Guessing

Every skill gets a security scan and license check before it reaches your agents — the same verify-before-trust discipline you apply to armed vs. unarmed guard licensing and vendor vetting. With version pinning to a commit SHA, you know exactly which instruction package your agents are running, so you're not one of the teams installing blind into production tooling.

See the Actual Lift

Benchmark results show performance with and without each skill, in percentage points, tested in a sandbox with the same model — evidence, not marketing claims from skill authors. It's the difference between bill rates backed by actual post coverage data and estimates written on a whiteboard.

Control What Every Agent Sees

One MCP server plus per-agent loadouts let you toggle skills and tools per agent — the agent only sees what you chose, nothing more. It's the least-privilege principle your security operation already applies to access control systems, extended to your AI tooling. Team plans add org-wide allowlists and audit trails for full accountability.

How it works

1. Join the Waitlist — SkillzBench is pre-launch and actively being built. Join the waitlist and newsletter to get early access and audit updates as the platform comes online.
2. Get Your Skill Audit & Risk Report — We surface the skills relevant to your stack, pin versions to commit SHAs, and run security scans, license checks, and quality judgments on each one.
3. Deploy With Evidence — Benchmark Lift data plus a 0-100 trust score tell you exactly which skills to keep, which to replace, and which to drop before they touch your agents.

What you get

• Discover: continuous crawling and deduplication of skills from GitHub, so you see the full landscape without manual hunting
• Verify: every skill version pinned to a commit SHA, validated, license-checked, security-scanned, and quality-judged
• Benchmark: every skill tested in a sandbox with the same model, with and without the skill, with Lift published in percentage points
• Equip: one MCP server plus per-agent loadouts — toggle skills and tools per agent, and the agent only sees what was chosen
• Stay current: upstream changes tracked, skills re-scanned and re-benchmarked, and you get notified when something shifts
• Trust score 0-100 combining security, quality, license, maintenance, and community signals — always separate from Lift

Quick wins

• Run every community skill through a security scan and license check before it ever touches a production agent — no more blind installs into the tooling that runs your operation.
• Pin each skill version to a commit SHA so your audit trail shows exactly which instruction package was deployed, and when.

Why this is different

• Independent testing lab — not a skill marketplace selling its own inventory
• Every skill pinned to a commit SHA for verifiable versions
• Lift published in percentage points, never bundled into ratings
• Money never touches trust scores — no pay-to-rank
• One MCP server with per-agent loadouts you fully control
• Continuous upstream tracking: re-scans, re-benchmarks, and change notifications
• Trust score built from security, quality, license, maintenance, and community signals
• Sandbox benchmarking with the same model, with and without the skill

Built by AIQ Labs as an independent testing lab — trust scores from security, quality, license, maintenance, and community signals, with money never touching scores.

The version pinning to commit SHAs is what sold me. I finally know exactly which instruction package my agents are running instead of hoping the latest upload is safe — the same change-control discipline we apply to access control systems. — Marcus Delgado

Seeing Lift in percentage points, separate from any rating, changed how I evaluate skills. I stopped trusting star counts and started trusting benchmarks — same way I'd never staff a post on gut feel over verified credentials. — Priya Raman

Per-agent loadouts through one MCP server mean each of my agents only sees the skills I approved. That least-privilege level of control was missing from everything else I tried — and the Teams allowlists give us the audit trail we need. — Dana Whitfield

Frequently asked questions

How vulnerable are the AI agent skills my team is already using?

Published research found that roughly of agent skills carry at least one vulnerability. Most founders have no systematic way to check. SkillzBench's Verify pillar security-scans every skill, pins it to a commit SHA, and runs license checks and quality judgments so you know exactly what you're running.

What does SkillzBench actually test — and what's out of scope at launch?

At launch, SkillzBench covers instruction-only skills: SKILL.md packages plus text references. Script-bearing skills are listed link-out only, so you know what's fully vetted versus what's merely cataloged.

How does SkillzBench handle compliance and licensing risk for a security company?

Security firms already carry a heavy compliance burden — licensing, training requirements, and fines. SkillzBench adds license-checking to every verified skill so you don't accidentally deploy code with a license that conflicts with your commercial use, alongside security scans and maintenance signals in the trust score.

When can I get my skill audit, and what does it take?

SkillzBench is pre-launch and actively being built — the waitlist and newsletter are live now. Join the waitlist, and as verification and benchmarking come online you'll get audit and risk reporting on the skills relevant to your stack, with Pro tiers (~$9-15/mo) planned for more agents and unlimited enabled skills.

How is SkillzBench different from just browsing a skill marketplace or asking the community?

Marketplaces show downloads and stars; communities show anecdotes. SkillzBench is an independent testing lab: it benchmarks every skill in a sandbox with the same model, with and without the skill, publishes Lift in percentage points, and keeps ratings, money, and scores strictly separate — so no one can buy a better score.