goodboy: Stop re-explaining yourself

by akhayam99 · Codex Skill · ★ 117

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

How to install goodboy

brew install --cask akhayam99/tap/goodboy

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

Security audit verdict: SAFE · quality 57/100

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.

agentic-aiai-agentsautomationclaudeclaude-codecodexcursordeveloper-productivitydeveloper-toolsgemini

Quick Facts

Stars117
Forks8
LanguageTypeScript
CategoryCodex Skill
Quality Score57/100
Open Issues45
Last Updated2026-10-22
Created2026-05-06
Platformsclaude-code, codex, gemini, node
Est. Tokens~15k

About goodboy

Goodboy Stop re-explaining yourself. You have a repo. You have a goal. You also have four CLIs open in four windows, each holding a slightly different version of the same task. By evening you've spent more time pasting the goal back into the next chat than actually building.

Compatible Skills

These tools work well together with goodboy for enhanced workflows:

  • linear-claude-skill — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • sub-agents-mcp — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (60%)
  • outworked — semantic(0.27)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • the-dev-squad — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (58%)

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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 Codex Skill tools