No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by witold-andelie · MCP Server · ★ 8
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is revio safe to install? View the security audit →
Agentic code review CLI — LangGraph orchestrates 13 deterministic static analyzers (oxlint/bandit/clippy/spotbugs/golangci/cppcheck) + LLM reasoning across 23 languages including industrial PLC. Grounding validator kills hallucinated paths. RAG over your guidelines. dedup --fix actually edits files with multi-step undo (no git required).
| Stars | 8 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.3398586694792/100 |
| Last Updated | 2026-07-26 |
| Created | 2026-05-24 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~19k |
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revio is Agentic code review CLI — LangGraph orchestrates 13 deterministic static analyzers (oxlint/bandit/clippy/spotbugs/golangci/cppcheck) + LLM reasoning across 23 languages including industrial PLC. G. It is categorized as a MCP Server with 8 GitHub stars.
revio is primarily written in Python. It covers topics such as agent, claude, cli.
You can find installation instructions and usage details in the revio GitHub repository at github.com/witold-andelie/revio. The project has 8 stars and 2 forks, indicating an active community.
revio is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to revio on Agent Skills Hub include lucidity-mcp, chibi, mcpick. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: