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Capability Evolver

Listed
autogame-17·vlatest·other·GPL-3.0

Dynamically adjusts AI model parameters for optimal performance across tasks – boosting efficiency and adapting to evolving needs.

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 evomap/evolver --skill capability-evolver -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

autogame-17

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 7 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: bun.com, dotenvx.com, evomap.ai, feross.org, git-scm.com….

    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.

    Hosts contacted

    127.0.0.1localgit-scm.comundeclaredgithub.comsource hostevomap.aiundeclareddotenvx.comundeclaredopencollective.comundeclaredwww.patreon.comundeclaredfeross.orgundeclaredbun.comundeclaredapi.github.comsource host

    What it found (3 of 13)

    • index.js:950contacts git-scm.com
      console.error('[Preflight] On Windows: install Git from https://git-scm.com/download/win and make sure `git --version` works in a fresh terminal.');
    • index.js:2404contacts evomap.ai
      console.error('  export A2A_HUB_URL=https://evomap.ai');
    • index.js:2452contacts evomap.ai
      console.error('  Check the skill ID spelling, or browse available skills at https://evomap.ai');

  • 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 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 autogame-17/capability-evolver at 31b0691acd.

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

Commit
31b0691acd
Manifest
SKILL.md
Scanned
60 files, 17,834 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 capability-evolver skill refines and expands the capabilities of AI agents. It can take an existing set of abilities and suggest improvements, modifications, or entirely new functionalities based on a given goal. The tool aims to optimize agent performance by iteratively enhancing its skillset.

When to use it

  • Improving Agent Performance: When an AI agent isn't achieving desired outcomes, this skill can help identify areas for improvement in its capabilities.
  • Exploring New Functionality: To brainstorm and develop new abilities for an agent beyond its current limitations.
  • Adapting to Changing Requirements: When a project’s needs evolve, use this skill to adjust the agent's skillset accordingly.
  • Optimizing Existing Abilities: Refine existing skills to make them more efficient or effective in specific scenarios.

Key capabilities

  • Suggests improvements to existing AI agent abilities.
  • Proposes new functionalities for agents.
  • Iteratively enhances skillsets based on goals.
  • Optimizes agent performance through ability refinement.

Example prompts

  • "The agent struggles with complex negotiation scenarios. Suggest ways to improve its bargaining skills."
  • "How can I add the ability for the agent to generate creative content, like poems or scripts?"
  • "This agent is good at data analysis but needs to present findings effectively. What capabilities should I add?"

Tips & gotchas

The effectiveness of this skill depends on clearly defining the desired goals and providing sufficient context about the existing agent's abilities. Vague requests may yield less useful suggestions.