by cozytab · Claude Skill · ★ 106
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Featured in: Claude Code Hooks, Subagents & Statusline
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 | 106 |
| Forks | 9 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-15 |
| Created | 2026-07-06 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
fable-mode English | 简体中文 A work-discipline protocol that makes Opus 4.8 (or any non-frontier model) operate at Fable-5-grade quality. fable-mode is a Claude Code skill plus a set of guard hooks. Its premise: output quality = model capability × work discipline Quickstart The skill works on its own; step 2 is optional (it turns the discipline into hard blocks).
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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: