agent-rules-skill: Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible

by netresearch · Agent Tool · ★ 88

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

How to install agent-rules-skill

npx skills add https://github.com/netresearch/agent-rules-skill --skill agent-rules
git clone https://github.com/netresearch/agent-rules-skill.git

Taken from the project's README on GitHub.

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.

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-skillsagents-mdai-agentai-agentsclaude-code-skillconventiondocumentationopen-standardskill

Quick Facts

Stars88
Forks10
LanguageShell
CategoryAgent Tool
Quality Score71/100
Open Issues2
Last Updated2026-10-30
Created2025-10-18
Platformsclaude-code, cli, go, node
Est. Tokens~12k

About agent-rules-skill

AGENTS.md Generator Skill Netresearch AI skill for generating and maintaining AGENTS.md files following the agents.md specification. What is AGENTS.md? A context file written for AI coding agents, not humans. Human readability is a side effect, not a goal. Adopted by 60,000+ open-source projects. See the official specification and best practices from 2,500+ repositories.

Compatible Skills

These tools work well together with agent-rules-skill for enhanced workflows:

  • verify — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • MyAgents_skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • claude-jobs — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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