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Graphrag

Checked
aeonbridge·vlatest·data·MIT

Graphrag extracts key entities and relationships from unstructured text to generate visual graphs, aiding in data understanding & analysis.

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 aeonbridge/ab-anthropic-claude-skills --skill graphrag -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

aeonbridge

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 aeonbridge/ab-anthropic-claude-skills at 3a700eb025.

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

Commit
3a700eb025
Manifest
output/graphrag/SKILL.md
Scanned
1 file, 1,086 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 allows AI agents to process and reason over information presented as graphs. It enables Claude to understand visual data, extract insights from charts and diagrams, and incorporate those findings into its responses. The agent can analyze graph data and provide summaries or answer questions based on the visualized information.

When to use it

  • Analyzing financial reports displayed in line graphs.
  • Interpreting survey results presented as bar charts.
  • Understanding trends from time-series data shown in scatter plots.
  • Extracting key findings from complex network diagrams.

Key capabilities

  • Graph understanding
  • Data extraction from visuals
  • Reasoning over graph data
  • Integration with text responses

Example prompts

  • "Here's a graph of sales figures for the last quarter. Can you summarize the trends?"
  • "Analyze this bar chart showing customer satisfaction scores and tell me which product has the lowest rating."
  • “Based on this network diagram, who are the most central nodes?”

Tips & gotchas

The agent requires clear visual input in a supported format (e.g., image files). Ensure the graph is legible and well-defined for optimal performance.