The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

Verified coding workflows for the terminal

See what a conversation feeds the model, what your rules keep out, and what one click would change.

Version-controlled project context for AI coding agents: code graph, architecture wiki, project memory, relevant tests, quality signals, and task flows.

Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by workflow.

Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.

A graph-native code repository for AI agents and the people who build with them.

Scan a GitHub repository for vulnerabilities, with proof for every finding, from your coding agent.

A deepseek-harness plugin, making your agent evolve in customed git repository.

Your team and your AI agents work from the same context: tasks, their full history and time as plain files in your git repository

Agent skill for repository-aware social preview images, visual directions, and GitHub-ready exports.

Enables agents to grade any public GitHub repository, returning overall and category scores plus prioritized fixes, and to list all available checks.

Multi-language repository map for agents and humans: MCP tools, dependency graphs, symbol indexes, impact review, and bounded source evidence.

A persistent, Git-versioned map of your whole codebase and database schema that coding agents read before they touch anything. Local-first MCP server + CLI in Go: a governed repository index of code knowledge that gives Claude Code, Codex, Cursor, and opencode long-term context, memory, and code intelligence.

A repository for skills that are essential to my daily work

Enables AI coding agents to retrieve compact structural codebase context through repository architecture summaries, AST symbol extraction, cyclomatic complexity scoring, and TODO/FIXME hotspot search.

Exposes an assess_repo tool that scans a repository, local folder, or npm/PyPI package and returns supply-chain risk findings with file, line, and code evidence — install-time scripts, dangerous patterns, secrets, AI-agent manipulation, impersonation and published-artifact mismatches — while never executing the target's code. Findings carry severities from info to critical so results can gate installs and CI jobs.

A code repository indexing tool to supercharge your LLM experience.

Agent Skill ROI Registry & Benchmarking. It sells skills for log triage and repository mapping.