computer-vision-deep

computer-vision-deep is a skill for Claude Code, Codex from omer-metin/skills-for-antigravity. It costs 45 tokens per session (225 once invoked), scanned A, original, Apache-2.0.

A guide to computer vision, which lets software understand images and video, including objects, regions, distance, and movement.

In plain words
What is it for?
Use it to implement object detection, image segmentation, depth estimation, three-dimensional vision, and video understanding.
Why use it?
It helps choose approaches for interpreting visual data instead of treating it as ordinary text or numbers.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to implement object detection, image segmentation, depth estimation, three-dimensional vision, and video understanding.

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Install with agentmods
npx agentmods add skills/omer-metin/skills-for-antigravity/computer-vision-deep
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 omer-metin/skills-for-antigravity --skill computer-vision-deep
Clone the repo
git clone --depth 1 https://github.com/omer-metin/skills-for-antigravity

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 computer-vision-deep

README.md
[![agentmods](https://agentmods.dev/badge/skills/omer-metin/skills-for-antigravity/computer-vision-deep/github.svg)](https://agentmods.dev/skills/omer-metin/skills-for-antigravity/computer-vision-deep)
Your own site
<a href="https://agentmods.dev/skills/omer-metin/skills-for-antigravity/computer-vision-deep"><img src="https://agentmods.dev/badge/skills/omer-metin/skills-for-antigravity/computer-vision-deep/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 computer-vision-deep

Your own site · 80×15
<a href="https://agentmods.dev/skills/omer-metin/skills-for-antigravity/computer-vision-deep"><img src="https://agentmods.dev/badge/skills/omer-metin/skills-for-antigravity/computer-vision-deep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 225 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 $0.00045 $0.00225
Opus 5 $0.00023 $0.00112
Sonnet 5 $0.00009 $0.00045
Haiku 4.5 $0.00005 $0.00022

Measured 9d ago against content hash 7e601c561bc9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

computer-vision-deep 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 9d ago.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/computer-vision-deep/SKILL.md · 21 lines

What it actually says

Computer Vision Deep

Identity

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Files

What ships with it

3 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. 9d ago First seen · 21 lines · 45 tokens per session scan A 7e601c561bc9

Subscribe to this mod's changes

computer-vision-deep is a skill published in the GitHub repository omer-metin/skills-for-antigravity (145 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 45 tokens to every session and 225 once invoked, about $0.0002 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 2026-09-03.

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