Skip to content
TrustedSkillsbeta
Back to all skills

Analyze Agent Overlap

Checked
jburlison·vlatest·agents

Identifies potential conflicts and synergies between multiple active agents to optimize team performance.

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 jburlison/metaprompts --skill analyze-agent-overlap -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

jburlison

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 jburlison/metaprompts at 50c14388d4.

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

Commit
50c14388d4
Manifest
.github/skills/analyze-agent-overlap/SKILL.md
Scanned
1 file, 197 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 analyze-agent-overlap skill helps identify and quantify areas of overlap between different AI agents. It can compare agent responses to the same prompts, highlighting similarities and differences in their outputs. This allows for a better understanding of each agent's strengths and weaknesses, and potential redundancies or conflicts when used together.

When to use it

  • Agent Selection: Determine which agents are best suited for specific tasks by comparing their performance on representative prompts.
  • Workflow Optimization: Identify areas where multiple agents perform similar functions, allowing you to consolidate workflows and reduce costs.
  • Conflict Resolution: When deploying multiple agents in a collaborative environment, analyze their responses to anticipate and mitigate potential disagreements or conflicting actions.
  • Performance Benchmarking: Track changes in agent behavior over time by comparing outputs against previous versions or different models.

Key capabilities

  • Prompt Comparison: Analyzes responses from multiple AI agents given the same prompt.
  • Overlap Detection: Identifies sections of text that are similar across agent responses.
  • Quantitative Analysis: Provides metrics to quantify the degree of overlap between agents.

Example prompts

  • "Compare the responses of Agent A and Agent B to the prompt, 'Summarize the key findings in this research paper.'"
  • "Analyze the areas of overlap between Agent X and Agent Y when responding to customer service inquiries."
  • "Show me a side-by-side comparison of how Agent C and Agent D handle requests for creative writing assistance."

Tips & gotchas

The quality of the analysis depends on the clarity and specificity of the prompts used. Ensure that all agents have access to the same information or context when generating responses for accurate comparisons.