claude-code-on-steroids: obra/superpowers extended — 14→24 skills, 6 GadaaLabs engineering improvements, override infrastructure

by GadaaLabs · Claude Skill · ★ 68

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 67/100

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.

ai-engineeringclaude-aiclaude-codedeveloper-toolsllmmlopsproductivityprompt-engineering

Quick Facts

Stars68
Forks11
LanguageShell
CategoryClaude Skill
Quality Score67/100
Open Issues2
Last Updated2026-04-29
Created2026-04-12
Platformsclaude-code, cli
Est. Tokens~109k

About claude-code-on-steroids

Claude Code on Steroids The complete, production-grade Claude Code skill system — packaged, optimized, and update-proof. Built on obra/superpowers by Jesse Vincent. Extended with 10 new skills, specific engineering improvements directed by GadaaLabs, and an override infrastructure that makes your skills survive plugin updates automatically.

Compatible Skills

These tools work well together with claude-code-on-steroids for enhanced workflows:

  • claude-capsule-kit — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • claude-war-room — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
  • luxor-claude-marketplace — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

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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