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CodeGraph retrieval quality benchmark v1.0.0

Use this resource to measure what CodeGraph adds on a real repo compared with grep and read

New

  • 545 downloads
  • 200 likes
  • 230 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install codegraph-retrieval-benchmark

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent picks the version and language, selects a repo of suitable size and runs the harness in the background. It compares results with and without CodeGraph, then writes a report.

Mostly picked by

Updated November 2, 2026

Card for the “CodeGraph retrieval quality benchmark” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: audit workflow, from choosing the version to the report
  • corpus.json: reference task corpus

Good fit for

  • You are releasing a new CodeGraph version and want to test it
  • You doubt CodeGraph helps for a given language

Not for

    Tags

    • codegraph
    • benchmark
    • evaluation
    • agents

    About

    You say

    “Run the audit of the local CodeGraph build on a mid-sized Go repo.”

    Card for the “CodeGraph retrieval quality benchmark” skill

    Skill published by colbymchenry under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to measure what CodeGraph adds on a real repo compared with grep and read
    3. Review and adjust the result

    Content preview

    Files

    • corpus.json22.3 KB
    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.8 KB

    Origin and licence

    Listed unmodified

    Author
    colbymchenry
    Source
    github.com/colbymchenry/codegraph/tree/01e0ac3aa7419a7ab75583963e8a95359f3af1d3/.claude/skills/agent-eval
    Licence
    MIT

    Notice

    « agent-eval » (colbymchenry, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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