Glm Understand Image

Name: Glm Understand Image
Author: thincher

Checked

thincher·vlatest·video-media

Helps with code comprehension, image processing as part of agent workflows workflows.

Repository

Install on your platform

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

Run this in your project

terminal

$ npx skills add thincher/awsome_skills --skill glm-understand-image -a claude-code

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

thincher

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 30 Sept 2026

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 thincher/awsome_skills at fe166efc4b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: fe166efc4b
Manifest: glm-understand-image/SKILL.md
Scanned: 2 files, 131 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 glm-understand-image skill allows AI agents to analyze and interpret visual information from images. It can identify objects, scenes, and potentially other details within an image. The skill provides a textual description of what's present in the provided image, enabling the agent to react accordingly.

When to use it

Automated Image Tagging: Automatically generate tags for photos uploaded to a database or website.
Accessibility Assistance: Describe images to visually impaired users.
Content Moderation: Identify potentially inappropriate content within images.
Inventory Management: Analyze images of shelves to identify missing or misplaced items.

Key capabilities

Object recognition
Scene understanding
Image description generation

Example prompts

"Describe the contents of this image." [followed by an image]
"What objects are present in this picture?" [followed by an image]
"Can you tell me what's happening in this scene?" [followed by an image]

Tips & gotchas

The quality of the description depends heavily on the clarity and resolution of the input image. Complex or obscured images might result in less accurate descriptions.