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Graphql

Checked
davila7·vlatest·backend·MIT

Queries Davila7's GraphQL API to retrieve data based on provided parameters, enabling flexible backend integration.

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 davila7/claude-code-templates --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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Scanned
1 file, 69 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 generate, execute, and debug GraphQL queries and mutations directly within code. It streamlines backend development by allowing agents to interact with GraphQL APIs without manual setup or boilerplate code generation.

When to use it

  • You need an agent to fetch specific data from a GraphQL endpoint efficiently.
  • Your team is building a frontend application that relies on a GraphQL schema.
  • You want the agent to write tests for existing GraphQL resolvers or mutations.
  • You are debugging API responses and need the agent to inspect query structures.

Key capabilities

  • Generates valid GraphQL queries and mutations based on schema definitions.
  • Executes queries against live or mocked GraphQL endpoints.
  • Parses and formats complex nested JSON responses.
  • Identifies syntax errors in GraphQL documents and suggests fixes.
  • Translates high-level data requirements into optimized GraphQL requests.

Example prompts

"Create a GraphQL query to fetch all active users along with their recent order history." "Debug this failing mutation that attempts to update a user's profile settings." "Generate a test case for the createProduct mutation using Jest and Apollo Client."

Tips & gotchas

Ensure your AI agent has access to the project's GraphQL schema or API documentation to generate accurate queries. Complex nested schemas may require explicit field selection instructions to avoid over-fetching data.