Agentlint: GitHub App that catches CLAUDE.md contradictions and broken pointers on every PR
If you've been running Claude Code seriously, you've probably hit the maintenance wall: the rules surface grows from a single CLAUDE.md to AGENTS.md, skills, hooks — and eventually those files start saying different things. Claude reads all of them. Contradictions produce weird, hard-to-trace behavior.
Agentlint (agentlint.net/install) is a GitHub App that automates catching these issues on every PR. It reads your entire agent-rules bundle and posts inline PR comments when it detects:
- Files that contradict each other
- Hooks or skills pointing at paths that don't exist
- Rules that reference harness features your version doesn't support
Pricing & limits
- Free for 5 audits per private repo, unlimited on public repos
- Pro: $19 per repo per month for unlimited private audits
- Installation takes ~30 seconds
See a sample report
A synthetic report for an example repo is available at agentlint.net/r/sample — it shows inline comments for a fictional "acme/dashboard" repository.
📖 Read the full source: r/ClaudeAI
👀 See Also
Freddy CLI: Connect Health Data to AI Agents via MCP
Freddy publishes an open-source CLI to connect wearable health data (Oura, Polar, Withings, etc.) to AI coding agents via MCP. Commands for OAuth device flow, data querying, and token refresh.
OpenClaw Local Agent Implementation with TurboQuant Caching for Mid-Range Hardware
A one-click app for OpenClaw with local models now runs on mid-range devices like MacBook Air with 16GB RAM using TurboQuant caching and context warming. The implementation patches llama.cpp for reliable tool calling and achieves 10-15 tokens per second with Gemma 4 and QWEN 3.5.
From Replit to Local: How One Developer Used Claude to Build StillHere, an API-Powered AI Companion Chat App
A developer built StillHere.ink, an AI chat app for companion-style conversations using personal API keys, after migrating from Replit to local development with Claude. The app features memory, diary summaries, RAG, model switching, and cost-control tools.
Holaboss Aims to Solve Portable Local Agent Deployment
Holaboss is an open-source project that treats the AI worker as a portable artifact with per-worker workspace, local skills/apps, persistent memory, and a runtime that can be packaged separately from the desktop app. It supports local model stacks like Ollama and requires Node.js 22+ on target machines.