Revornix: Open-source, local-first AI information/markdown workspace

by Qingyon-AI · MCP Server · ★ 292

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

Featured in: Knowledge Base & RAG

Security audit verdict: SAFE · quality 65/100

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.

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.

agentaimarkdownmcpnewsnotesragrevornix

Quick Facts

Stars292
Forks37
LanguageTypeScript
CategoryMCP Server
Quality Score65/100
Open Issues1
Last Updated2026-09-22
Created2025-04-06
Platformsmcp, node
Est. Tokens~16k

About Revornix

English 日本語ドキュメント Reject FOMO! When facing the information stream, be lazy, leave the rest to AI! Revornix is an open-source, local-first AI information workspace. Save the noisy stream of links, papers, audio and screenshots you can't keep up with, and let the platform turn them into structured knowledge, generate reports and podcasts you can actually consume, and deliver the result through...

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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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