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
Anamnese: A Personal Memory System for Claude via MCP
Anamnese is a free tool that stores personal context—facts, projects, goals, tasks—and connects to Claude via MCP, allowing the AI to access this information at the start of every conversation.
Ctxpact: Context Compaction Proxy for Local LLMs
Ctxpact is an OpenAI-compatible proxy that compresses oversized inputs for local LLMs with 16k context windows, using a 3-stage pipeline that includes DCP, summarization, and extraction strategies. Benchmarks show 110k tokens compressed to 12k with 8/8 reading comprehension accuracy.
Claude Code Plugin for Reddit Market Research Without API Keys
A Claude Code plugin automates Reddit market research by searching threads, analyzing content, and generating markdown reports with direct links. It requires no Reddit API key, auth, or config files, using public data through a local MCP server.
Octopoda: Open Source Memory Layer for Local AI Agents
Octopoda is an open source memory layer that gives local AI agents persistent memory between sessions, semantic search, loop detection, and crash recovery. It runs fully offline with a 33MB embedding model and integrates with LangChain, CrewAI, AutoGen, and OpenAI Agents SDK.