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Grepai Trace Graph

Checked
yoanbernabeu·vlatest·testing·MIT

Analyzes code execution traces to visualize dependencies and identify potential issues, boosting debugging efficiency.

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 yoanbernabeu/grepai-skills --skill grepai-trace-graph -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

yoanbernabeu

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 yoanbernabeu/grepai-skills at 382d40261c.

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

Commit
382d40261c
Manifest
skills/trace/grepai-trace-graph/SKILL.md
Scanned
1 file, 384 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

The grepai-trace-graph skill visualizes execution traces of AI agents. It allows users to understand the sequence of actions and decisions made by an agent, providing insights into its reasoning process. This visualization helps debug complex agent behaviors and identify areas for improvement in their design.

When to use it

  • Debugging Agent Behavior: When an agent is exhibiting unexpected or incorrect behavior, use this skill to trace its execution path and pinpoint the source of the issue.
  • Understanding Complex Workflows: For agents handling intricate tasks with multiple steps, visualize the trace graph to grasp the overall workflow and dependencies.
  • Analyzing Decision-Making: Gain a better understanding of why an agent made specific choices by examining the sequence of events leading up to those decisions.
  • Optimizing Agent Performance: Identify bottlenecks or inefficiencies in the agent's execution flow through visual analysis of the trace graph.

Key capabilities

  • Visualizes AI agent execution traces.
  • Provides a graphical representation of actions and decisions.
  • Supports debugging complex agent behaviors.
  • Offers insights into agent reasoning processes.

Example prompts

  • "Show me the trace graph for my last interaction with the customer service agent."
  • "Visualize the steps taken by the booking agent when processing order #12345."
  • “Can you show me a graph of how the summarization agent handled this document?”

Tips & gotchas

The skill requires access to agent execution logs. Ensure that logging is enabled and configured correctly for the agents you wish to analyze.