15,663 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
This skill guides scanning the codebase for memory and performance code smells, debugging performance problems, writing performance/memory tests that follow established project conventions, and updating docs/patterns/ when new categories of issues are discovered and fixed.
MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP. Runs locally from the src-mcp npm package.
★not rated 1 yesterdayA
tokens not measured
originalMIT
Know what breaks before you break it. Structural knowledge graph for codebases — impact analysis, dead code detection, health scores. No LLM required. Runs locally from the codebrain Python package.
★not rated 1 4mo agoA
tokens not measured
originalMIT
A Model Context Protocol (MCP) server for tracking and debugging pytest failures using the 9 principles. Runs locally from the pytest-mcp-server npm package.
★not rated 1 1y agoA
tokens not measured
originalMIT
Use when an AI coding agent needs to inspect a repository, choose the right workflow, audit code/docs/tests/skills, improve Python or TypeScript projects, plan issues or PRs, or use the CodeAudit MCP server.
A local MCP server for analysing JavaScript and reversing JavaScript-based code, with built-in anti-detection features. MCP is a standard way for an agent to use external tools.
MCP server "bug-tracker-mcp" as configured in allenrobel/bug-tracker-mcp. Runs locally from the bug-tracker-mcp Python package.
★not rated 1 8d agoA
tokens not measured
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: