What is image-analysis?

An image-understanding tool for describing pictures, answering questions about them, reading text with OCR, finding objects, and comparing two images.

Use it to inspect photos, screenshots, scans, and other images; extract their text; identify objects; or check how similar two images are.

It helps when you need information from an existing image but do not have a person or a connected vision service available.

image-analysis — Skill for Claude Code and Codex by leiming2333

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/leiming2333/Vision-Toolkit

agentmods

npx agentmods add skills/leiming2333/vision-toolkit/image-analysis

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/leiming2333/vision-toolkit/image-analysis/github.svg)](https://agentmods.dev/skills/leiming2333/vision-toolkit/image-analysis)

Your own site

<a href="https://agentmods.dev/skills/leiming2333/vision-toolkit/image-analysis"><img src="https://agentmods.dev/badge/skills/leiming2333/vision-toolkit/image-analysis/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/leiming2333/vision-toolkit/image-analysis"><img src="https://agentmods.dev/badge/skills/leiming2333/vision-toolkit/image-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,818 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.

Model	Per session	Once invoked
Fable 5.1	$0.00058	$0.01818
Opus 5.5	$0.00023	$0.00727
Sonnet 5.5	$0.00012	$0.00364
Haiku 4.5	$0.00006	$0.00182

Measured 2mo ago against content hash 38c9826d8b1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-analysis 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 2mo 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.

.trae/skills/image-analysis/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Image Analysis

Understand an existing image by calling the standalone vision.py script in this project. Supports four operations: image description / visual QA, OCR (text extraction), object detection, and image similarity comparison. This skill is available to any agent and does not require the MCP server to be running — it calls the providers directly.

Relationship with the MCP vision tools

This project exposes image understanding through two entry points that share the same providers/ code and the same environment-variable configuration (API keys / endpoints / models):

MCP tools (preferred) — analyze_image, ocr, detect_objects, compare_images. Available when the MCP server is connected. Use them first.
This Skill (fallback) — a standalone script. Use it when:
- the MCP server is not connected / not running,
- the MCP tool call fails or times out,
- or you are in a context where only a Skill works (CI, batch, an agent without MCP).

Configuration source: the Skill reads the same environment variables as the MCP server (OPENAI_API_KEY / DASHSCOPE_API_KEY / GEMINI_API_KEY and the corresponding *_BASE_URL / *_VISION_MODEL). By default the Skill shares the MCP config — whatever the MCP server uses, the Skill uses too.

Skill-independent config (optional): the Skill also supports a separate config layer via SKILL_*-prefixed env vars. At runtime the Skill reads SKILL_<name> first; if unset it falls back to <name>. The MCP server does not read SKILL_* vars, so MCP behavior is unaffected. Set SKILL_* vars only when you want the Skill to use a different key / endpoint / model than MCP — e.g. SKILL_OPENAI_API_KEY, SKILL_OPENAI_BASE_URL, SKILL_OPENAI_VISION_MODEL, SKILL_DASHSCOPE_API_KEY, SKILL_QWEN_VL_MODEL, SKILL_GEMINI_API_KEY, SKILL_GEMINI_VISION_MODEL. If neither SKILL_* nor the shared key is set, tell the user to set the relevant environment variable.

The Skill script also has built-in provider auto-fallback: if the chosen provider fails, it automatically retries the other configured providers. So prefer the MCP tools first; if they fail, run this Skill script and it will try every available provider.

Read the full file on GitHub · 138 lines

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.

2mo ago First seen · 138 lines · 58 tokens per session scan A 38c9826d8b1d

Subscribe to this mod's changes

image-analysis is a skill published in the GitHub repository leiming2333/Vision-Toolkit (0 stars, last pushed 25d ago), licensed MIT. It adds 58 tokens to every session and 1,818 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Creative and media

image-analysis next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
image-analysisleiming2333/Vision-Toolkit	Skill	0	25d ago	MIT	A	58	Claude Code, Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	today	MIT	A	95	Claude Code