repowise — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 repowise-dev · MCP Server · ★ 6.0k

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

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About repowise

The intelligence layer that gives your AI agent context, ownership, decisions — and a code-health score proven to predict real bugs. Five intelligence layers · Nine MCP tools · 15 languages · Multi-repo workspaces · One pip install <img src="https://img.shields.io/badge/MCP-compatible-1E293B?style=for-the-badge&labelColor=0A0A0A

aicode-complexitycode-healthcode-intelligencecode-qualitydead-codedeveloper-toolsdocumentationgit-analyticsmcp

Quick Facts

Stars6,032
Forks628
LanguagePython
CategoryMCP Server
LicenseAGPL-3.0
Quality Score60.4240154600271/100
Open Issues131
Last Updated2026-08-19
Created2026-03-23
Platformsmcp, python
Est. Tokens~20k

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Frequently Asked Questions

What is repowise?

repowise is Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.. It is categorized as a MCP Server with 6.0k GitHub stars.

What programming language is repowise written in?

repowise is primarily written in Python. It covers topics such as ai, code-complexity, code-health.

How do I install or use repowise?

You can find installation instructions and usage details in the repowise GitHub repository at github.com/repowise-dev/repowise. The project has 6.0k stars and 628 forks, indicating an active community.

What license does repowise use?

repowise is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to repowise?

The top alternatives to repowise on Agent Skills Hub include brooks-lint, composio, klavis. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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