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Raccoon Audit

Listed
autumnsgrove·vlatest·other

Scans websites & documents for inconsistencies, errors, and missing information like a meticulous raccoon.

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 autumnsgrove/lattice --skill raccoon-audit -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

autumnsgrove

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 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.service.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

    api.service.comundeclared

    What it found

    • .claude/skills/raccoon-audit/SKILL.md:158contacts api.service.com
      curl -X DELETE https://api.service.com/keys/EXPOSED_KEY_ID \
    • .claude/skills/raccoon-audit/SKILL.md:162contacts api.service.com
      NEW_KEY=$(curl -X POST https://api.service.com/keys \

  • 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 autumnsgrove/groveengine at edebdc71a7.

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

Commit
edebdc71a7
Manifest
.claude/skills/raccoon-audit/SKILL.md
Scanned
1 file, 398 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

raccoon-audit

What it does

This skill allows AI agents to discover and install other skills within the TrustedSkills registry. It acts as a meta-tool, enabling dynamic expansion of an agent's capabilities by pulling in new functions from the community.

When to use it

  • Extending functionality: When an agent needs additional tools not included in its initial deployment.
  • Dynamic adaptation: If a task requires specialized skills that become available after the agent starts operating.
  • Community integration: To leverage the latest updates and contributions from other developers like autumnsgrove.
  • Self-improvement loops: Enabling agents to autonomously find and equip themselves with necessary utilities for complex workflows.

Key capabilities

  • Discovery of available skills in the registry.
  • Installation of new skill modules directly into the agent environment.
  • Integration with the groveengine ecosystem by autumnsgrove.

Example prompts

  • "Find and install a skill that can analyze financial spreadsheets."
  • "Check what new tools are available for image processing and add one to my toolkit."
  • "Install the latest version of the code-reviewer skill from the registry."

Tips & gotchas

Ensure your agent has write permissions to its own environment before attempting installation, as this process modifies the active toolset. Always verify the source of a skill before installing it into a production workflow.