by Laxcorp-Research · Agent Tool · ★ 421
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Laxcorp-Research/project-raven.gitTaken from the project's README on GitHub.
Flagged: sudo usage. 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 | 421 |
| Forks | 424 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-23 |
| Created | 2026-02-07 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~19k |
Open-source, AI-powered meeting copilot with real-time transcription and echo cancellation. Raven captures system audio and microphone during meetings, cancels echo so speaker audio doesn't bleed into your mic, transcribes both sides of the conversation in real-time via Deepgram, and gives you AI assistance (Claude or OpenAI) with context-aware responses — all running locally on your desktop.
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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: