Skip to content
TrustedSkillsbeta
Back to all skills

Dark Matter Analyzer

Checked
daffy0208·vlatest·other·MIT

This AI analyzes complex data sets to identify hidden patterns and anomalies within “dark matter” simulations – useful for research & discovery.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Dark Matter Analyzer, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add daffy0208/ai-dev-standards --skill "Dark Matter Analyzer" -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

daffy0208

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 daffy0208/ai-dev-standards at 32c3241e48.

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

Commit
32c3241e48
Manifest
skills/dark-matter-analyzer/SKILL.md
Scanned
3 files, 655 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 Dark Matter Analyzer is a utility designed to help AI agents discover and install new skills within the TrustedSkills registry. It streamlines the process of expanding an agent's functional capabilities by providing direct access to available tools and modules.

When to use it

  • You need to equip a new AI agent with specific functionalities not yet present in its base configuration.
  • You are looking for community-contributed skills to solve niche problems or automate specialized tasks.
  • Your current workflow requires integrating external tools, libraries, or custom logic via the registry.
  • You want to browse and evaluate available skill options before committing to an installation.

Key capabilities

  • Discovery of available skills within the TrustedSkills ecosystem.
  • Installation of selected skills directly into the agent environment.
  • Access to a curated list of community-developed AI agent modules.

Example prompts

  • "Help me install the Dark Matter Analyzer so I can find new skills for my project."
  • "What skills are available in the registry that could help with data analysis?"
  • "Install a skill that allows this agent to generate custom code snippets."

Tips & gotchas

Ensure your AI agent has write permissions to the registry environment before attempting to install new modules. Always review the description and metadata of a skill before installation to verify compatibility with your specific use case.