old-coder: An old coder's strategy for the agent era: don't read the code — make it run the gauntlet

by AmazingAng · Codex Skill · ★ 753

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

How to install old-coder

npx skills add https://github.com/amazingang/old-coder

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

Security audit verdict: SAFE · quality 68/100

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-codingclaude-codecode-qualitycodexcursorllmmutation-testingproperty-based-testing

Quick Facts

Stars753
Forks59
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score68/100
Open Issues4
Last Updated2026-08-18
Created2026-07-27
Platformsclaude-code, codex, python
Est. Tokens~14k

About old-coder

Old Coder skill(老码农 skill) 中文说明 → An old coder's strategy for the agent era: don't read the code — make it run the gauntlet. A skill that makes coding agents prove their work. Instead of you reading every line the agent writes, the agent must push its code through a gauntlet of checks — and hand you a test plan before coding and an evidence report after.

Compatible Skills

These tools work well together with old-coder for enhanced workflows:

  • Aegis — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • skills — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • easy-coding-agents — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • optimus-claude — 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:

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