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Solid Detection

Checked
fusengine·vlatest·other·MIT

Solid Detection identifies and highlights stable, unmoving objects in images/videos, crucial for robotics, automation, and scene understanding.

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-detection -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-detection/SKILL.md
Scanned
2 files, 243 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-detection skill identifies and analyzes solid objects within an image or video feed. It can determine the presence, location, and potentially characteristics (like size or shape) of these solids. This capability is useful for tasks requiring object recognition and spatial understanding in visual data.

When to use it

  • Automated Quality Control: Detect defects or inconsistencies on manufactured parts by identifying deviations from expected solid forms.
  • Robotics Navigation: Help a robot understand its environment by detecting obstacles and landmarks represented as solid objects.
  • Security Surveillance: Identify the presence of specific solid objects (e.g., packages, vehicles) in a monitored area.
  • Inventory Management: Count and locate items on shelves or within storage areas based on their solid form.

Key capabilities

  • Object detection
  • Spatial analysis
  • Image processing
  • Video feed analysis

Example prompts

  • "Identify all rectangular objects in this image."
  • "Are there any metal containers present in the video stream?"
  • "Locate and highlight all solid structures larger than 1 meter in this aerial photograph."

Tips & gotchas

The skill's accuracy depends heavily on the quality of the input images or videos. Ensure sufficient lighting and clear visibility for optimal results.