glmv-grounding

glmv-grounding is a skill for Claude Code, Codex from zai-org/GLM-skills. It costs 112 tokens per session (2,342 once invoked), scanned A, original, Apache-2.0.

A tool for locating described objects or areas in images and videos and returning their positions. It can represent locations as points, boxes, 3D boxes, or video-tracking data using normalized coordinates.

In plain words
What is it for?
Use it for object localization, bounding-box visualization, point detection, 3D location requests, and tracking targets through videos.
Why use it?
It turns a visual description such as “find the car” into coordinates that software can draw, inspect, or track.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it for object localization, bounding-box visualization, point detection, 3D location requests, and tracking targets through videos.

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Install with agentmods
npx agentmods add skills/zai-org/glm-skills/glmv-grounding
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add zai-org/GLM-skills --skill glmv-grounding
Clone the repo
git clone --depth 1 https://github.com/zai-org/GLM-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for glmv-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-grounding/github.svg)](https://agentmods.dev/skills/zai-org/glm-skills/glmv-grounding)
Your own site
<a href="https://agentmods.dev/skills/zai-org/glm-skills/glmv-grounding"><img src="https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-grounding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for glmv-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/zai-org/glm-skills/glmv-grounding"><img src="https://agentmods.dev/badge/skills/zai-org/glm-skills/glmv-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,342 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00112 $0.02342
Opus 5 $0.00056 $0.01171
Sonnet 5 $0.00022 $0.00468
Haiku 4.5 $0.00011 $0.00234

Measured 10d ago against content hash b3dd0b8c69b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

glmv-grounding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 6 executable files (scripts/config_setup.py, scripts/glm_grounding_cli.py, scripts/utils_3d.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/glmv-grounding/SKILL.md · 165 lines

How it starts

The opening of the file, as written. The whole thing — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GLMV-Grounding Skill

Extract and visualize grounding results produced by GLM-V. Depending on the user prompt, grounding coordinates in model outputs may appear in different forms, including 2D bounding boxes, Objects Detection JSON, 2D points, 3D bounding boxes, and target-tracking JSON.

Note: GLM-V outputs coordinates where x and y are relative coordinates normalized from pixel coordinates x_pixel and y_pixel using image width W and height H (range 0-1000), i.e., x=round(x_pixel/W1000), y=round(y_pixel/H1000). The origin of the pixel coordinate system is the top-left corner. Note: If the prompt does not explicitly specify a grounding format (for example, "find the location of xxx" or "draw a box around xxx"), treat the request as 2D bounding boxes by default.

When to use

  • Use GLM-V to ground targets in images: obtain grounding results in an image for any prompt-described target, with output formats such as 2D bounding box (default), 2D points, and 3D bounding box.
  • Use GLM-V to track targets in videos: obtain tracking results in a video for any prompt-described target, with output format like {"0": [{"label": ..., "bbox_2d": ...}, ...], ...}.
  • Use utility functions for extraction, conversion, and visualization: extract coordinates, points, and JSON from natural text; normalize and de-normalize coordinates; visualize boxes, points, 3D boxes, and video tracking results.

Setup your API Key

Configure ZHIPU_API_KEY to call the GLM-V API.

  1. Get your API key: https://www.bigmodel.cn/usercenter/proj-mgmt/apikeys
  2. Configure it with:
python scripts/config_setup.py setup --api-key YOUR_KEY

Security & Transparency

  • Primary API key env: ZHIPU_API_KEY (required).
  • Timeout env: GLM_GROUNDING_TIMEOUT (optional, seconds, default 60).
  • API endpoint: fixed to official Zhipu Chat Completions endpoint in CLI implementation.
  • No dynamic key name switching: the skill expects ZHIPU_API_KEY consistently.
  • URL/local file handling: the skill can read local files or fetch user-provided URLs for processing/visualization; URL inputs are restricted to public http/https targets (localhost/private network targets are rejected).

Read the full file on GitHub · 165 lines

Files

What ships with it

9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 165 lines · 112 tokens per session scan A b3dd0b8c69b7

Subscribe to this mod's changes

glmv-grounding is a skill published in the GitHub repository zai-org/GLM-skills (474 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 112 tokens to every session and 2,342 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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