by GeneGulanesJr · MCP Server · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx -y @genegulanesjr/lapis claude-code install
npx -y @genegulanesjr/lapis claude-code doctor # verify installTaken 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 | 55 |
| Forks | 12 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 67/100 |
| Last Updated | 2026-10-19 |
| Created | 2026-05-01 |
| Platforms | claude-code, codex, mcp, node |
| Est. Tokens | ~17k |
LaPis — Local AI Memory for Coding Agents LaPis is a local, persistent AI memory layer for coding agents. It gives Pi Coding Agent, Claude Code, Hermes Agent, and MCP-compatible clients long-term project memory backed by SQLite. LaPis remembers architectural decisions, bug fixes, project constraints, patterns, code context, documentation, discoveries, and previous work across sessions.
These tools work well together with LaPis 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: