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Security scans for a whole repo or for changes like PRs and commits, with threat modeling, vulnerability triage, fixes and re-verification; reports export to JSON, SARIF and more. OpenAI's official Codex plugin; requires Codex Security access.

OpenAI's official browser-game skills: plan core gameplay and tech choices first, then build with Phaser for 2D or Three.js / React Three Fiber for 3D, plus HUD and menu UI, sprite animation, a GLB asset pipeline and in-browser playtesting.

Scrapes web pages into Markdown or structured data, with full-site crawling, sitemaps, web search and interaction with dynamic pages. Maintained by Firecrawl; the cloud needs an API key (self-hosting is possible), and the keyless hosted endpoint only offers scrape, search and parse.

Anthropic's reference implementation for finding and fixing vulnerabilities: Claude Code skills for threat modeling, static scanning, triage and patching, plus an autonomous recon-to-patch pipeline (C/C++ memory bugs by default; needs Docker and gVisor). No longer maintained.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.

A more intuitive find-and-replace tool than sed: uses JavaScript/Python-style regex syntax, supports literal string mode and in-place file edits, which suits agents doing bulk text rewrites.

Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.

Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.

Python library and CLI for extracting main web content: fetches pages, crawls via sitemaps and RSS feeds, strips headers, footers and other noise, and outputs TXT, Markdown, JSON, XML and more with metadata. Also processes downloaded HTML offline.

Anthropic's official OS-level sandbox CLI: restricts file and network access for agents, MCP servers and any command without containers, using sandbox-exec on macOS and bubblewrap on Linux. Currently a research preview.

Static security analysis for CI/CD config: finds template injection, credential leaks, excessive permissions and more in GitHub Actions workflows, also covers Dependabot and pre-commit configs, and auto-fixes some findings.

14 n8n workflow skills: expression syntax, MCP tool usage, node configuration, validation and troubleshooting, Code nodes, AI Agent workflows and self-hosted n8n deployment. Meant to be used with the n8n-mcp server.

Lets agents operate Home Assistant: control devices, query state and history, create and debug automations and edit dashboards, with 80+ tools. Community-maintained (unofficial); requires your own Home Assistant instance, and running via uvx needs a long-lived access token.

Lets agents launch the Godot editor, run projects in debug mode and read console output and errors, plus create scenes, add nodes and manage UIDs (Godot 4.4+). Requires Godot and Node.js installed locally.

Veteran suite of CSV command-line tools: in2csv converts Excel and JSON to CSV, csvcut, csvgrep and csvsort filter and sort, csvstat computes statistics, and csvsql runs SQL directly against CSV files.

Google's official skills for building ADK agents: dev workflow, scaffolding, the ADK Python API, evaluation with LLM judges and adaptive rubrics, deployment to Agent Runtime, Cloud Run or GKE, publishing and observability. Works with agents-cli; local dev needs only an AI Studio key.

250+ MCP tools for Ghidra: decompilation, cross-references, data-flow analysis, bulk renaming and commenting, P-code emulation and live debugging, with headless mode support. Requires Java 21 and Ghidra 12.1, and the plugin must be built and deployed first.

Docker's official CLI for building images, running and managing containers, viewing logs and pushing to registries, a foundational tool for agents setting up isolated environments. Needs a local or remote Docker Engine such as Docker Desktop.

Reference for pnpm 12: CLI, pnpm-workspace.yaml settings, monorepo workspaces, catalogs, overrides, patches, supply-chain settings such as build approval, task orchestration, CI setup and migration from npm, Yarn or older pnpm. Generated by Anthony Fu from the official docs.

Semi-automated research workflow for computer science and AI researchers: ideation, Zotero literature management, experiment analysis and reports, paper writing and polishing, and rebuttals, with optional Obsidian knowledge base. 40+ skills; also installable as a Claude Code plugin.

Semi-automated research assistant for CS and AI researchers that links ideation, Zotero literature management, experiment analysis and reporting, paper writing and reviewer responses, and keeps project knowledge in Obsidian. Branches for Codex and other agents exist.

draw.io's official MCP: opens XML, CSV or Mermaid diagrams generated by the agent directly in the draw.io editor, good for flowcharts and architecture diagrams. A no-install remote version can also render diagrams inline in the chat.

Interviews you to design an agentic control loop for your codebase in control-theory terms: a set point, a sensor built from existing tooling, a controller that picks small low-risk changes, and a coding agent that opens PRs. Builds each part to run locally before wiring a scheduled CI workflow.