claude-ai-toolkit: A lightweight Python CLI for Anthropic’s Claude language models

by ramonclaudio · Claude Skill · ★ 60

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How to install claude-ai-toolkit

git clone https://github.com/ramonclaudio/claude-ai-toolkit.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

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

Stars60
Forks11
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score73/100
Open Issues1
Last Updated2026-04-23
Created2024-03-04
Platformsclaude-code, cli, python
Est. Tokens~14k

About claude-ai-toolkit

Claude AI Toolkit Unmaintained. Use the SDK for Python or Claude Code for CLI. I've always preferred pair programming with LLMs from the terminal over copy-pasting from browser chats. Web UIs hit rate limits, lose context across tabs, and break flow when I'm moving code back and forth. Anthropic dropped the Claude 3 family on March 4, 2024. I shipped this the same day.

Compatible Skills

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

  • tinychat — semantic(0.33)+shared_fw(anthropic)+rare_topics+same_lang+similar_pop+shared_platform (63%)
  • ClaudeForge — semantic(0.20)+complementary+shared_fw(anthropic)+same_lang+similar_pop+shared_platform (60%)

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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 Claude Skill tools