by pavel-molyanov · Claude Skill · ★ 299
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 299 |
| Forks | 86 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 57/100 |
| Open Issues | 10 |
| Last Updated | 2026-10-21 |
| Created | 2025-12-22 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~17k |
Claude Code Framework Фреймворк для AI-First разработки с Claude Code. В основе — spec-driven pipeline: сначала детально планируем работу через интервью с пользователем и исследование кодовой базы, согласуем спецификации, и только потом пишем код. Каждый этап проверяется специализированными агентами-валидаторами. Код пишется через TDD.
Looking for a molyanov-ai-dev alternative? If you're comparing molyanov-ai-dev with other claude skill tools, these 4 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Battle-tested Claude Code, OpenAI Codex, Cursor configs, plugins, hooks and agents with Kimi, MiniMax and GLM
An open-source AI based digital marketing operating system for strategy, SEO, AEO/GEO, paid media, content, CR
Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho
Report issues related to MCP integration with Claude here.
Explore other popular claude skill tools:
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: