by cxOrz · Agent Tool · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
bun add smart-codebase
npm install smart-codebase
Taken from the project's README on GitHub.
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.
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.
| Stars | 71 |
| Forks | 9 |
| Language | TypeScript |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 70/100 |
| Last Updated | 2026-03-13 |
| Created | 2026-01-28 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~12k |
Smart-Codebase English | 简体中文 Turn your OpenCode into a senior project expert that learns and grows with every task. 🔥 The Pain Point Every time you start a new session, AI starts from scratch. It doesn't remember: Why you chose that architecture? What gotchas exist in your codebase? What patterns your team follows? What you learned from debugging that nasty bug? You explain the same things over...
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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: