by swingerman · Claude Skill · ★ 134
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 | 134 |
| Forks | 9 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 73/100 |
| Last Updated | 2026-08-10 |
| Created | 2026-02-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~17k |
Disciplined Agentic Engineering — methodology marketplace for Claude Code ℹ️ Repo renamed: this marketplace was previously . Existing URLs continue to work via GitHub's automatic redirect — no action needed unless you want to update local remotes ().
These tools work well together with disciplined-agentic-engineering for enhanced workflows:
Looking for a disciplined-agentic-engineering alternative? If you're comparing disciplined-agentic-engineering with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
AI agents that guide you from idea to working code, with you in control at every step.
The Complete AI Development Toolkit for Claude Code. 115 skills, 36 agents, 161 hooks. Install `ork` for stabl
Tu equipo de desarrolladores en un plugin. 10 agentes, 11 skills planas, 18 comandos /alfred-dev:*. Memoria pe
Engineering discipline for AI coding agents: question the request, verify against current docs, plan, build te
Use Claude Code like a Director, not a Programmer. MIT toolkit with Auto-Loop, guided setup, 27 commands, 14 a
Primes your project for peak Claude Code performance
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: