agent-toolkit: A curated collection of skills for AI coding agents

by softaworks · Agent Tool · ★ 2.5k

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

How to install agent-toolkit

npx skills add softaworks/agent-toolkit
/plugin marketplace add softaworks/agent-toolkit

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-skillsaiautomationclaudeclaude-codecoding-agentdevelopment

Quick Facts

Stars2,501
Forks229
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score71/100
Open Issues18
Last Updated2026-03-05
Created2026-01-19
Platformsclaude-code, python
Est. Tokens~51k

About agent-toolkit

Softaworks Agent Skills Opinionated skills shared by @leonardocouy for improving daily work efficiency with Claude Code. Skills are packaged instructions and scripts that extend agent capabilities across development, documentation, planning, and professional workflows. Skills follow the Agent Skills format.

Compatible Skills

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

  • skillport — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • ai-skills — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • claude-workflow-v2 — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)
  • aws-agent-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)

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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:

View on GitHub → Browse Agent Tool tools