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Solid Generic

Checked
fusengine·vlatest·other·MIT

This skill generates a basic, reliable "solid" token for various applications, offering a foundational element in diverse workflows.

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 fusengine/agents --skill solid-generic -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

fusengine

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 fusengine/agents at 980930ea9c.

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

Commit
980930ea9c
Manifest
plugins/solid/skills/solid-generic/SKILL.md
Scanned
15 files, 1,877 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 solid-generic skill provides a foundational framework for AI agents, enabling them to interact with and process data in a structured manner. It facilitates the creation of reusable components and logic within an agent's workflow. This skill allows for building more complex behaviors by providing a base upon which other specialized skills can be layered.

When to use it

  • Building modular AI agents: Use this as a starting point when developing agents with multiple, independent functionalities.
  • Creating reusable logic: When you need to apply the same processing steps across different tasks within an agent.
  • Developing custom skill integrations: As a base for creating new skills that extend or modify existing agent capabilities.
  • Agent prototyping and experimentation: Quickly test out new ideas and workflows without needing to build everything from scratch.

Key capabilities

  • Provides a generic framework for agent logic.
  • Facilitates code reusability within agents.
  • Supports modular agent design.
  • Serves as a base for custom skill development.

Example prompts

  • "Use the solid-generic framework to process this data and extract key insights."
  • "Create a new module using the solid-generic structure to handle user authentication."
  • "Extend the solid-generic functionality with error handling and logging capabilities."

Tips & gotchas

This skill provides a foundation; you'll likely need to build upon it with more specialized skills depending on your specific use case. Consider carefully how you structure your modules when using this framework for optimal maintainability.