vibe-engineering: 33 engineering discipline skills for Claude Code, OpenAI Codex & Gemini CLI + a CLI for CI/CD enforcement

by ash1794 · Claude Skill · ★ 163

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

How to install vibe-engineering

/plugin marketplace add ash1794/vibe-engineering
/plugin install vibe-engineering@vibe-plugins

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

Security audit verdict: SAFE · quality 76/100

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.

agents-mdai-agentsai-codinganthropicclaudeclaude-codeclaude-code-plugincode-qualitycodex-skillsdeveloper-experience

Quick Facts

Stars163
Forks41
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score76/100
Open Issues1
Last Updated2026-10-07
Created2026-02-28
Platformsclaude-code, cli, codex, gemini
Est. Tokens~14k

About vibe-engineering

vibe-engineering 38 engineering discipline skills for Claude Code & OpenAI Codex + a CLI for CI/CD enforcement. Extracted from real-world multi-agent system development — not theoretical best practices, but patterns that survived 3 weeks of intensive production development with 205+ test files, 11 agents, and 50+ session observations. "Vibe coding" meets engineering rigor.

Compatible Skills

These tools work well together with vibe-engineering for enhanced workflows:

  • claude-council — semantic(0.26)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (62%)
  • econ-writing-skill — semantic(0.22)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (61%)

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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