Lucarne: Stop babysitting local AI agents

by tuchg · MCP Server · ★ 331

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Lucarne

brew install lucarned
git clone https://github.com/tuchg/Lucarne.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 68/100

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.

agent-bridgeagent-imagent-managementagent-sessionsai-agentsclaude-codecodexgeminigrok-buildmanaged-agents

Quick Facts

Stars331
Forks16
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score68/100
Open Issues18
Last Updated2026-08-02
Created2026-05-17
Platformsclaude-code, codex, gemini, mcp, rust
Est. Tokens~23k

About Lucarne

English | 中文 Stop babysitting your local AI agents. No new mobile app required; receive timely, secure notifications through existing channels Zero-intrusion setup: no hooks, no skills, no MCP, no project changes; scan a QR code and start using it in one step Agents run on your local computer, so you can step away while WeChat / Telegram keep you synced on key progress Permission approvals,...

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How this security grade is produced

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:

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