yao-image

yao-image is a skill for Claude Code, Codex from YaoApp/yao. It costs 44 tokens per session (1,761 once invoked), scanned A, original, no licence file.

An image-handling skill for reading, analyzing, describing, and generating visual content such as screenshots, photos, charts, and diagrams.

In plain words
What is it for?
Working with visual files, including inspecting screenshots, explaining charts, and creating images.
Why use it?
It tells the coding agent when to use image-specific help instead of treating visuals as plain text.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

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.

agentmods
npx agentmods add skills/yaoapp/yao/yao-image
Any agent
npx skills add YaoApp/yao --skill yao-image
Clone the repo
git clone --depth 1 https://github.com/YaoApp/yao

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 yao-image

README.md
[![agentmods](https://agentmods.dev/badge/skills/yaoapp/yao/yao-image.svg)](https://agentmods.dev/skills/yaoapp/yao/yao-image)
Your own site
<a href="https://agentmods.dev/skills/yaoapp/yao/yao-image"><img src="https://agentmods.dev/badge/skills/yaoapp/yao/yao-image.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,761 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00044 $0.01761
Opus 5 $0.00022 $0.00881
Sonnet 5 $0.00009 $0.00352
Haiku 4.5 $0.00004 $0.00176

Measured 3d ago against content hash 153dd2ae01dc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

yao-image 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 3d 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.

tools/skills/yao-image/SKILL.md · 156 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 3d ago Changed · +35 lines 153dd2ae01dc
  2. 6d ago First seen · 121 lines · 44 tokens per session scan A f2a4a56a98f7

Subscribe to this mod's changes

yao-image is a skill published in the GitHub repository YaoApp/yao (7,884 stars, last pushed today), with no licence file. It adds 44 tokens to every session and 1,761 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 2026-08-30.

Related

Other skills, from other repositories

dsh-web-skin-developer

Build a new skin for the dsh-web skin collection (DSH Web GUI) and publish it into the Skin Center — the first-level settings section — scaffold with scripts/dsh-skin-new, author the v2 skin.json manifest plus skin.css token remap (pure asset directory, no package.json, no build step), validate with scripts/dsh-skin…

zhu1090093659/dsh-web · 120 tokens

dsh-web-documentation

Use when adding or editing dsh-web README files, docs, AGENTS.md instructions, user-facing configuration text, or bilingual documentation pairs.

zhu1090093659/dsh-web · 34 tokens

dsh-sdk-upgrade

Safely select and install a compatible official @deepseek-ai SDK release for dsh plugin projects (dsh-web, dsh-trading, and similar monorepos) from npm using an isolated worktree, explicit cohort review, CI-equivalent validation, and controlled rollout — including syncing the project's declared DSH host-version floor…

zhu1090093659/dsh-web · 176 tokens

dsh-web-sdk-compatibility

Adapt and repair dsh-web after an approved official @deepseek-ai SDK/runtime cohort is selected or installed. Compare public API, type, service-injection, module-table, protocol, and behavior changes; map every change to repository consumers; implement the smallest fixes and durable compatibility contracts; handle…

zhu1090093659/dsh-web · 107 tokens

manage-taskboard

Manage work in the native DeepSeek Harness Taskboard with exact task ids and optimistic versions. Use when an Agent must inspect project work, claim an eligible todo, record progress or blockers, verify an implementation, submit it for human review, or release its own claim; also use when a human asks how to accept…

shengsheng90/DSH-taskboard · 88 tokens

verification-before-completion

Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always.

mvschwarz/openrig · 43 tokens