Herramientas

Reads local session files to report token usage and cost by project, model, task and branch for Claude Code, Codex, Cursor and dozens of other coding agents, no sign-up needed. Also offers config optimization tips, quota checks and spend-cap hooks. Needs Node.js 22.13+.

Google's official dependency vulnerability scanner: parses project lockfiles and container images, checks them against the OSV.dev database to find affected dependencies, and can suggest upgrade fixes (experimental).

Spec-driven development and context engineering framework (formerly Get Shit Done): a five-step loop of discuss, plan, execute, verify and ship, handing heavy work to subagents with fresh context to avoid degradation in long sessions. Supports Claude Code, Codex and more.

GitHub's official terminal coding agent, sharing its harness with the Copilot coding agent and shipping with the GitHub MCP built in. Work with repos, issues and PRs in natural language, approving each action before it runs. Requires a Copilot subscription.

OpenAI's official security CLI and TypeScript SDK: scans codebases to find, validate and fix security vulnerabilities, and can draft a SECURITY.md policy. Needs Node.js 22.13+, Python 3.10+, and a ChatGPT sign-in or API key.

Hugging Face's official skills: manage Hub models and datasets with the hf CLI, fine-tune language and vision models, run model evaluations, and build Gradio apps deployed to Spaces. Needs an HF account; cloud training on HF Jobs requires a paid plan.

Teaches agents the Hugging Face Hub CLI hf: search and download models, manage datasets, Spaces, Buckets and repos, and run Jobs and inference endpoints. The skill content is generated from your local CLI, so install hf first. Maintained by Hugging Face.

Lets agents work with the Hugging Face Hub through the hf CLI: search and download models and datasets, manage repos and Spaces, and run training and evaluation jobs on cloud GPUs, with more workflow skills installable as needed. Maintained by Hugging Face.

Lets agents fine-tune language and vision models with TRL or Unsloth on Hugging Face Jobs cloud GPUs, supporting SFT, DPO, GRPO and reward models, and convert results to GGUF for local use. Requires an HF Pro or higher paid plan. Maintained by Hugging Face.

The official MCP debugging tool: connect to any MCP server through a web UI, CLI or terminal UI to list and call its tools, resources and prompts. CLI mode outputs JSON, suited to scripts and CI smoke tests.

Following Sahil Lavingia, author of The Minimalist Entrepreneur, helps founders define 3 to 5 concrete company values with real trade-offs before hiring, with example stories and counterexamples, and explains how to use them in hiring and daily work. Prompt-only; no account needed.

Turns architecture explanations, diff reviews, plan reviews and data comparisons into self-contained HTML pages or slides with Mermaid diagrams and light and dark themes, replacing ASCII diagrams in the terminal.

Turns terminal output like architecture explanations, diff reviews and plan comparisons into styled HTML pages or slides with zoomable interactive Mermaid diagrams, replacing hard-to-read ASCII diagrams and tables. No build step; open directly in a browser.

Generates editable draw.io architecture diagrams, ER diagrams, UML and BPMN flows from natural language or from Terraform, SQL DDL, OpenAPI specs and code repos, with incremental sync and multi-format export. Native export needs the draw.io desktop app.

Lets agents run terminal commands on your machine, manage long-running processes, and read, write, search and diff-edit files. Extends the official Filesystem server; collects pseudonymized telemetry by default (no file contents or command arguments), which you can turn off in config.

Tencent's open-source browser bridge: through the bsk CLI and a Chrome/Edge extension, agents use your logged-in accounts in a separate visible window to browse, fill forms and take full-page screenshots, and correlate network requests with console output to debug sites.

Open-source research agent: one command runs literature reviews, deep research, paper reviews, paper-code consistency checks and replication plans, searching arXiv, PubMed and more with sources recorded. Good for grad students writing reviews. Run feynman setup to sign in to a model provider.

Anthropic's official employment law plugin: reviews hiring and termination risk by jurisdiction, classifies workers, tracks leave deadlines, manages internal investigations, and drafts policies with state supplements. Focused on US state law; output needs attorney review.

Pre-termination check for high-risk factors (recent complaints, protected leave, discrimination or retaliation, thin documentation), reviews severance and separation agreements, and looks up state final-pay deadlines. US-focused; needs web or a legal database. Lawyer review required. By Anthropic.

NVIDIA's open-source LLM vulnerability scanner that probes for prompt injection, jailbreaks, data leakage, hallucination and harmful content, supporting OpenAI, Hugging Face, Bedrock and most REST-accessible models. Scanning cloud models needs their API keys.

Privacy compliance plugin: decides whether processing activities need a PIA or DPIA, generates privacy impact assessments, reviews DPAs from the controller or processor side, and drafts DSAR responses within statutory deadlines. Official from Anthropic.

Annotate and review agent-generated plans, docs and code diffs in the browser, then send feedback back to the agent in one click. Hooks into plan mode and supports Claude Code, Codex and other agents. Run the official install script to set up the CLI first.

When revising an employee handbook, compares proposed changes clause by clause with the current version, finds knock-on effects (such as PTO changes affecting final pay) and state supplement changes, and flags risks of cutting existing benefits. US-focused; needs legal review. By Anthropic.

Answers wage and hour questions for a specific state or country, such as worker classification, overtime, meal and rest breaks, leave and final pay, citing the law for each point and flagging when judgment is needed. US-focused; needs web or a legal database. Lawyer review required. By Anthropic.