by ma-nucho-pro · Codex Skill · ★ 58
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git clone https://github.com/ma-nucho-pro/wife.git
Taken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 58 |
| Forks | 11 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-07-31 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~20k |
Wife remembers everything Local, persistent and auditable memory layer for Claude Code and Codex. Your agent stops treating you like a stranger every morning. Why •
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Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress
Cross-agent memory for AI coding tools: one self-hostable knowledge graph shared by Claude Code, Codex, OpenCo
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
Persistent memory for AI coding agents
Compiles AI agent traces and truns them into reusable context.
Compile completed AI agent runs into reusable, cited context.
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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: