fable-skills: Six Claude Code skills that harden Opus 4.8 toward frontier behavior

by DizzyMii · Claude Skill · ★ 55

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How to install fable-skills

git clone https://github.com/DizzyMii/fable-skills.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

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-skillsai-agentsai-codingai-toolsanthropicautomationclaudeclaude-codeclaude-skillscoding-assistant

Quick Facts

Stars55
Forks11
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Open Issues5
Last Updated2026-10-06
Created2026-06-10
Platformsclaude-code, node
Est. Tokens~17k

About fable-skills

fable-skills Six Claude Code skills that harden Opus 4.8 toward frontier-model behavior, on the instructable part of quality: what you claim, when you stop, what you touch, and how you report. Written by Fable 5 distilling its own behavioral contract for its smaller sibling.

Compatible Skills

These tools work well together with fable-skills for enhanced workflows:

  • luxor-claude-marketplace — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (62%)
  • FUTURE_TOKENS — semantic(0.32)+complementary+same_lang+similar_pop+shared_platform (61%)
  • director-mode-lite — semantic(0.30)+complementary+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