r09-travisvn-awesome-claude-skills-datascience: Data Science & AI/ML skill suite derived from travisvn/awesome-claude-skills

by WireTarantulaKnife · Claude Skill · ★ 50

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Security audit verdict: SAFE · quality 61/100

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.

Quick Facts

Stars50
Forks0
CategoryClaude Skill
Quality Score61/100
Last Updated2026-04-28
Created2026-04-28
Platformsclaude-code
Est. Tokens~2k

About r09-travisvn-awesome-claude-skills-datascience

🤖 Data Science & AI/ML Skills Suite Derived from travisvn/awesome-claude-skills Adaptation of for Data Science & AI/ML use cases. Source focus: curated Claude Skills resources and customisation tools What This Skill Suite Does Data pipelines, model training, evaluation, MLOps and analytical reporting.

Compatible Skills

These tools work well together with r09-travisvn-awesome-claude-skills-datascience for enhanced workflows:

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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:

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