productmind-skills: Open-source Claude Code skills that blend product thinking with engineering rigor

by ojiudezue · Claude Skill · ★ 80

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

How to install productmind-skills

git clone https://github.com/ojiudezue/productmind-skills.git

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

Security audit verdict: SAFE · quality 66/100

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

Stars80
Forks18
LanguageHTML
CategoryClaude Skill
Quality Score66/100
Open Issues1
Last Updated2026-10-14
Created2026-04-14
Platformsclaude-code
Est. Tokens~18k

About productmind-skills

ProductMind Skills Business and product judgment meets engineering rigor. An open-source collection of AI-agent skills for the people who ship software that matters — founders, PMs, engineers, and vibe-coders alike. Most skills repos help you write code faster. ProductMind Skills help you build the right thing.

Compatible Skills

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

  • MyAgents_skills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)
  • Ay-Skills — semantic(0.49)+complementary+similar_pop+shared_platform (57%)
  • FUTURE_TOKENS — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)

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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