by professorpalmer · Codex Skill · ★ 471
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pipx install puppetmaster-ai # or: pip install puppetmaster-aiTaken from the project's README on GitHub.
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.
| Stars | 471 |
| Forks | 42 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66/100 |
| Last Updated | 2026-11-07 |
| Created | 2026-05-06 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~17k |
Puppetmaster Turn Cursor, Claude Code (Anthropic or AWS Bedrock), the OpenAI API, or the Codex CLI into an orchestrator that routes every task to the cheapest model that can handle it, runs workers as independent processes, and stores their output as typed SQLite artifacts so follow-ups cost zero tokens. 💸 Reproduce the live A/B in $0.01 of spend — . Pinned cost \$0.0132; Puppetmaster routed
These tools work well together with Puppetmaster for enhanced workflows:
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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: