skill-validator: Validate Skill content against Agent Skill specification, with additional content density and quality checks

by agent-ecosystem · Agent Tool · ★ 260

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install skill-validator

brew install skill-validator
go install github.com/agent-ecosystem/skill-validator/cmd/skill-validator@latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsagent-skills-specagent-skills-standardai-agentscoding-agentslinter

Quick Facts

Stars260
Forks32
LanguageGo
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Open Issues24
Last Updated2026-10-18
Created2026-02-13
Platformsgo
Est. Tokens~26k

About skill-validator

skill-validator A CLI tool that validates and scores Agent Skill packages. Spec compliance is table stakes. goes further: it checks that links actually resolve, flags files that shouldn't be in a skill directory, reports token counts so you can see how much of an agent's context window your skill will consume, analyzes content quality metrics, detects cross-language contamination, and offers...

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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