chess-postmortem-skills: Claude Code skills for chess post-mortems: Stockfish-backed annotated PGN, HTML viewer, narrated video

by brumar · Claude Skill · ★ 52

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How to install chess-postmortem-skills

git clone https://github.com/brumar/chess-postmortem-skills

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

Security audit verdict: SAFE · quality 65/100

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

Stars52
Forks1
LanguagePython
CategoryClaude Skill
Quality Score65/100
Last Updated2026-09-26
Created2026-09-25
Platformsclaude-code, python
Est. Tokens~15k

About chess-postmortem-skills

Chess post-mortem skills for Claude Code Claude Code skills that turn one of your chess games into a post-mortem you can actually read: plain-language explanations of your mistakes, checked against Stockfish, and a narrated video of the whole game. Edit: Damned this hit front page of HackerNews.

Compatible Skills

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

  • CheckPause — semantic(0.41)+complementary+same_lang+similar_pop+shared_platform (64%)
  • html-explainer — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • chess-mcp — semantic(0.29)+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