agent-skills-generator: Generate agent skills from website documentation

by rodydavis · Agent Tool · ★ 133

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

Security audit verdict: SAFE · quality 72/100

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.

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.

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Quick Facts

Stars133
Forks7
LanguageTypeScript
CategoryAgent Tool
LicenseApache-2.0
Quality Score72/100
Open Issues1
Last Updated2026-01-30
Created2026-01-16
Platformsbrowser, node
Est. Tokens~1681k

About agent-skills-generator

Agent Skills Generator Convert documentation websites into Markdown skills optimized for AI agents and LLMs. This repository contains two projects: VS Code Extension: A GUI-based tool to manage and generate skills directly within VS Code. Go CLI: A robust command-line tool for high-performance crawling and generation. VS Code Extension Code located in .

Compatible Skills

These tools work well together with agent-skills-generator for enhanced workflows:

  • ai-maestro — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (54%)
  • copilot-mcp — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • agent-skills-cli — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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