by globalmpc · Agent Tool · ★ 63
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @globalmpc/nomore # what you keep telling Claude (sessions active in the last 30 days)
npx @globalmpc/nomore --apply # pick suggestions one by one (yes / no / edit) and add them to CLAUDE.md
Taken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 63 |
| Forks | 0 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63/100 |
| Open Issues | 1 |
| Last Updated | 2026-10-28 |
| Created | 2026-10-24 |
| Platforms | claude-code, cli, node |
| Est. Tokens | ~14k |
nomore Stop telling Claude Code the same thing twice. We read nearly 10,000 Claude Code GitHub issues about how the model behaves, and turned the most-reacted complaints into 20 ready rules. Install them in 10 seconds. Then let find the things you keep repeating. Rule pack: 20 rules in 10 seconds Then add one line to your : (or put both in for every project).
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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: