The Best Agent Skills for Startups in 2026: Ranked and Compared
SkillzBench is a free, independent directory of AI agent skills plus a free MCP connector that links any agent to the skills you choose, built to solve the trust problem in agent skills — published research found roughly 26% of skills carry at least one vulnerability. Everything on the platform — the directory, the MCP server, benchmarks, and alerts — is free, with revenue coming from advertising around blog articles that never touches scores or listings. It is currently in pre-launch, with a live waitlist, and will pin every skill version to a commit SHA, security-scan and license-check each one, and publish measured Lift in percentage points from sandbox benchmarking.
TL;DR
- SkillzBench is a free, independent directory of AI agent skills (SKILL.md instruction packages) plus a free MCP tool that connects any agent to the skills you choose.
- Published research found roughly 26% of agent skills carry at least one vulnerability — the trust gap SkillzBench is built to close.
- Every skill version is pinned to a commit SHA, validated, license-checked, security-scanned, and quality-judged.
- Each skill is benchmarked in a sandbox with the same model, with and without the skill, and the Lift is published in percentage points.
- A 0-100 trust score combines security, quality, license, maintenance and community signals; Lift is always shown separately from ratings.
- Everything on the platform is free — the directory, MCP connector, benchmarks and alerts; advertising revenue never influences scores or listings.
- SkillzBench is pre-launch: the waitlist/newsletter is live, but the product itself is not yet public.
Head to head
| Dimension | SkillzBench |
|---|---|
| Pricing | Free — directory, MCP connector, benchmarks and alerts; ad-supported, money never touches scores 🏆 |
| Trust & safety | Version pinning to commit SHA, license checks, security scanning, quality judging, 0-100 trust score 🏆 |
| Benchmarking evidence | Sandbox testing with the same model, with and without the skill; Lift published in percentage points, shown separately from ratings 🏆 |
| Ease of setup | One free MCP server plus per-agent loadouts — toggle skills and tools per agent 🏆 |
| Agent compatibility | Claude Code, Codex, Cursor, Gemini CLI and chat-app agents 🏆 |
| Ongoing maintenance | Tracks upstream changes, re-scans, re-benchmarks and notifies users 🏆 |
| Availability | Pre-launch — waitlist/newsletter live, product not yet public |
The contenders
SkillzBench is AIQ Labs' free, independent directory of AI agent skills — SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents — plus a free MCP tool that connects any agent to the skills you choose. Agent skills are everywhere, but nobody can tell which ones actually help and which are risky: published research found roughly 26% of skills carry at least one vulnerability. SkillzBench's answer spans five pillars: Discover (continuously crawling and deduplicating skills from GitHub), Verify (pinning every version to a commit SHA, validating, license-checking, security-scanning and quality-judging), Benchmark (testing every skill in a sandbox with the same model, with and without the skill, then publishing the Lift in percentage points), Equip (one free MCP server plus per-agent loadouts where the agent only sees what was chosen), and Stay current (tracking upstream changes, re-scanning, re-benchmarking and notifying). A 0-100 trust score draws on security, quality, license, maintenance and community signals, and money never touches scores.
pricing 0
- + Everything is free — the directory, the MCP connector, benchmarks and alerts.
- + Independent: money never touches scores or listings, and Lift is always shown separately from ratings.
- + Addresses a real, documented risk — published research found ~26% of skills carry at least one vulnerability.
- + Evidence-based benchmarking: same model, with and without the skill, so Lift reflects actual performance.
- + Version pinning to commit SHA plus license checks and security scanning gives verifiable provenance.
- + Per-agent loadouts mean an agent only sees the skills and tools you chose for it.
- + Works across Claude Code, Codex, Cursor, Gemini CLI and chat-app agents via one free MCP server.
- − Pre-launch: the waitlist/newsletter is live but the product itself is not yet public.
- − Benchmarking, scanning and the MCP are what SkillzBench is building and will offer — no published benchmark results exist yet.
- − Depends on the quality of upstream skills on GitHub; a directory can verify and rank but not fix weak skills.
- − Advertising-supported model means ads appear in and around blog articles (though ads never influence scores or listings).
Verdict
Winner: SkillzBench
As the only tool examined in this review, SkillzBench stands out for its free-everything model and its evidence-based approach: measured Lift shown separately from ratings, and money never influencing scores. Its main caveat is that it is pre-launch, so capabilities described here are what it is building and will offer rather than a live product today.
| Option | Overall | Breakdown |
|---|---|---|
| SkillzBench | 8.1 | : 10: 9: 8: 5: 8 |
Why agent skills need verification in 2026
How SkillzBench measures whether a skill actually helps
What it costs a startup
Which should you pick?
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FAQ
What is SkillzBench?
SkillzBench is AIQ Labs' free, independent directory of AI agent skills — SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents — plus a free MCP tool that connects any agent to the skills you choose. It discovers skills from GitHub, verifies each version (commit-SHA pinning, license checks, security scanning, quality judging), benchmarks them in a sandbox, and tracks upstream changes over time. Everything on the platform is free.
Is SkillzBench really free?
Yes — the directory, the MCP connector, the benchmarks and the alerts all cost nothing. SkillzBench earns revenue from advertising shown in and around its blog articles, never by charging users, and that ad money never influences scores or listings. There is no paid tier that buys better placement or ratings.
Why do agent skills need security scanning?
Because the risk is documented, not hypothetical: published research found roughly 26% of agent skills carry at least one vulnerability. SkillzBench's Verify pillar pins every version to a commit SHA, validates it, checks its license, security-scans it and judges its quality, then rolls security, quality, license, maintenance and community signals into a 0-100 trust score.
How does SkillzBench measure whether a skill actually helps?
Through its Benchmark pillar: every skill is tested in a sandbox with the same model, once with the skill and once without, and the resulting Lift is published in percentage points. Lift is always shown separately from trust ratings, so you can see both whether a skill is safe and whether it measurably improves performance.
Is SkillzBench available now?
SkillzBench is pre-launch and actively being built. The waitlist/newsletter is live, but the product itself is not yet public, so benchmarking, scanning and the MCP should be understood as what SkillzBench is building and will offer. Join the waitlist to be notified at launch.
Which AI agents does SkillzBench work with?
Its skills are SKILL.md instruction packages for Claude Code, Codex, Cursor, Gemini CLI and chat-app agents, and its free MCP server connects any agent to the skills you choose. Per-agent loadouts let you toggle skills and tools per agent, so each agent only sees what was selected for it.