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Graphql

Checked
bobmatnyc·vlatest·backend·MIT

Queries data from specified GraphQL APIs using custom headers and handles rate limiting for robust backend integrations.

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 bobmatnyc/claude-mpm-skills --skill graphql -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

bobmatnyc

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
toolchains/universal/data/graphql/SKILL.md
Scanned
2 files, 2,206 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

This skill enables AI agents to interact with GraphQL APIs, allowing them to query and mutate data across complex schemas efficiently. It handles the construction of queries and mutations while managing responses from backend services.

When to use it

  • Retrieving specific user profiles or product details from a headless CMS.
  • Updating inventory levels or order statuses in real-time e-commerce backends.
  • Fetching nested data relationships, such as comments on blog posts, without over-fetching.
  • Executing batch operations like creating multiple records simultaneously via GraphQL mutations.

Key capabilities

  • Constructs valid GraphQL queries and mutations based on schema definitions.
  • Parses JSON responses containing structured data from API endpoints.
  • Handles variable interpolation within query strings dynamically.
  • Manages authentication headers required for protected GraphQL resources.

Example prompts

  • "Query the latest 5 blog posts including their author names and publication dates."
  • "Update the status of order #12345 to 'shipped' and return the updated record."
  • "Fetch all active users who have made purchases in the last 30 days along with their total spend."

Tips & gotchas

Ensure your AI agent has access to the correct GraphQL endpoint URL and any necessary API keys or tokens before attempting queries. Be mindful of rate limits imposed by the backend server when executing frequent mutations.