by grpcer · Claude Skill · ★ 428
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npm install --save-dev ownmem
npx ownmem init --locale auto --hosts claude,codex --layers dashboard --hook
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 | 428 |
| Forks | 9 |
| Language | JavaScript |
| Category | Claude Skill |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Last Updated | 2026-10-14 |
| Created | 2026-08-16 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~15k |
OwnMem — Git-Native Memory for AI Coding Agents Open-source project memory for Claude Code, Codex, Cursor, Gemini CLI, and other AI coding agents — local, deterministic, reviewable, and safely self-improving. · · · · English · 简体中文 · 繁體中文 · 日本語 · 한국어 · Español · Français · Deutsch · Português (BR) Why OwnMem Most AI agent memory systems optimize for remembering more.
These tools work well together with ownmem for enhanced workflows:
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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: