by Signet-AI · Codex Skill · ★ 313
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npm install -g signetai
bun add -g signetai
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 | 313 |
| Forks | 43 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 65/100 |
| Open Issues | 107 |
| Last Updated | 2026-11-07 |
| Created | 2026-02-11 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~19k |
Signet AI Own your agent's context. 97.6% average LongMemEval answer accuracy Local-first context · source-backed recall · repairable memory · portable across agents Quick start · Why Signet · Benchmarks · Docs · Discord Models change. Providers change. Agent shells change. Your context should not. Your agents are starting to remember projects, users, decisions, documents, conversations, p
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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: