agent-toolkit: Minimalistic, project-agnostic skills and rules for AI coding agents

by eai-org · Claude Skill · ★ 80

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

How to install agent-toolkit

git clone https://github.com/eai-org/agent-toolkit.git && cd agent-toolkit && ./install.sh
npx agentwheel install github:eai-org/agent-toolkit --adapter claude

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 68/100

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-skillsai-agentsclaude-codeclaude-skillsspec-driven-development

Quick Facts

Stars80
Forks18
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score68/100
Open Issues1
Last Updated2026-11-03
Created2026-05-25
Platformsclaude-code, cli
Est. Tokens~14k

About agent-toolkit

agent-toolkit A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project. The philosophy behind the toolkit — five pillars and a litmus test for every new artifact — is captured in docs/core-philosophy.md.

Compatible Skills

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

  • blueprint — semantic(0.50)+complementary+same_lang+similar_pop+shared_platform (67%)

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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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