Skip to content
TrustedSkillsbeta
Back to all skills

Deepwiki

Listed
johnlindquist·vlatest·backend

Deepwiki extracts key insights & relevant context from lengthy documents, accelerating research and understanding complex information quickly.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add johnlindquist/claude --skill deepwiki -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

johnlindquist

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: mcp.deepwiki.com.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    mcp.deepwiki.comundeclared

    What it found

    • skills/deepwiki/SKILL.md:30contacts mcp.deepwiki.com
      claude mcp add -s user -t http deepwiki https://mcp.deepwiki.com/mcp

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned johnlindquist/claude at eb37d88225.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
eb37d88225
Manifest
skills/deepwiki/SKILL.md
Scanned
1 file, 110 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

Deepwiki is a skill that allows AI agents to access and understand documentation for public GitHub repositories. It generates AI-powered documentation, including repository structure overviews, API documentation, code explanations, and interactive diagrams. This enables quicker research and understanding of complex information within those projects. Deepwiki provides both an HTTP endpoint and an MCP server for accessing this information.

When to use it

  • When you need a quick overview of a public GitHub repository's architecture or structure.
  • To understand the API documentation for a specific open-source project.
  • When you want explanations of code within a public repository.
  • For targeted questions about a repository’s functionality or design.
  • As a fallback when standard search methods lack sufficient information on a public repo.

Key capabilities

  • Repository Structure Overview: Provides documentation topics and structure for GitHub repositories.
  • Documentation Content Retrieval: Allows retrieval of the actual content within the generated documentation.
  • AI-Powered Question Answering: Enables asking questions about a repository's code or functionality.
  • MCP Integration: Supports both SSE (official MCP spec) and HTTP protocols for integration with AI agents.
  • WebFetch Compatibility: Can be used immediately via WebFetch without requiring MCP setup.

Example prompts

  • "Read the structure of the vercel/next.js repository."
  • "What is the routing architecture in the vercel/next.js project?"
  • "Ask Deepwiki: How does authentication work in this repository?"

Tips & gotchas

  • WebFetch First: Try using WebFetch before setting up MCP for immediate access.
  • Coverage Varies: Deepwiki’s coverage is best for popular repositories (50,000+ indexed).
  • Public Repos Only: Deepwiki currently only supports public GitHub repositories; private repos require a Devin account.