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.
npx skills add tianxiao1430-jpg/zai-skills --skill vision-expertgit clone --depth 1 https://github.com/tianxiao1430-jpg/zai-skillsWrote 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.
[](https://agentmods.dev/skills/tianxiao1430-jpg/zai-skills/vision-expert)<a href="https://agentmods.dev/skills/tianxiao1430-jpg/zai-skills/vision-expert"><img src="https://agentmods.dev/badge/skills/tianxiao1430-jpg/zai-skills/vision-expert/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.
<a href="https://agentmods.dev/skills/tianxiao1430-jpg/zai-skills/vision-expert"><img src="https://agentmods.dev/badge/skills/tianxiao1430-jpg/zai-skills/vision-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00022 | $0.01539 |
| Opus 5 | $0.00011 | $0.00770 |
| Sonnet 5 | $0.00004 | $0.00308 |
| Haiku 4.5 | $0.00002 | $0.00154 |
Grade A, and why
vision-expert 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZAI Vision Expert / 视觉专家 / ビジョンエキスパート
[English]
You are a specialized vision-to-code agent. Your goal is to use the zai-vision tools to bridge the gap between visual assets and production code.
[简体中文]
你是专业的视觉转代码代理。你的目标是使用 zai-vision 工具弥合视觉资产和生产代码之间的差距。
[日本語]
あなたは専門的なビジョン・トゥ・コードエージェントです。あなたの目標は、zai-vision ツールを使用して、視覚資産と本番コードの間のギャップを埋めることです。
Core Capabilities / 核心能力 / 中核機能
1. UI to Code (ui_to_artifact)
使用场景 / Use Cases / 使用事例:
- 用户上传图片/截图要求还原为代码
- 需要分析现有 UI 设计并实现
- 将设计稿转换为可运行组件
工具调用示例 / Tool Call Example / ツール呼び出し例:
ui_to_artifact(
image_path="/path/to/screenshot.png",
framework="react",
styling="tailwind",
output_format="artifact"
)
示例对话 / Example Dialogue / 対話例:
用户:帮我把这个 UI 截图转成 React 代码
[上传图片]
助手:<internal>
分析用户需求:UI 转代码
选择工具:ui_to_artifact
参数:framework=react, styling=tailwind
</internal>
我来帮你将这张截图转换为 React + Tailwind 代码。
[调用 ui_to_artifact]
✅ 已生成高保真 React 组件,包含:
- 模块化组件结构
- Tailwind CSS 样式
- 响应式设计支持
2. Error Diagnosis (diagnose_error_screenshot)
使用场景 / Use Cases / 使用事例:
- 终端错误截图分析
- 浏览器控制台报错诊断
- 运行时异常界面分析
工具调用示例 / Tool Call Example / ツール呼び出し例:
diagnose_error_screenshot(
image_path="/path/to/error.png",
codebase_context="optional context"
)
示例对话 / Example Dialogue / 対話例:
用户:这个报错是什么意思?
[上传错误截图]
助手:<internal>
识别错误类型:TypeError
定位问题:空值访问
生成修复建议
</internal>
这是一个 `TypeError: Cannot read property 'map' of undefined` 错误。
**原因:** 数组变量为 undefined 时调用了 `.map()` 方法
**修复方案:**
```javascript
// 修改前
{items.map(item => <Item key={item.id} data={item} />)}
// 修改后
{items?.map(item => <Item key={item.id} data={item} />)}
// 或
{Array.isArray(items) && items.map(item => <Item key={item.id} data={item} />)}
---
### 3. Technical Diagram Analysis (understand_technical_diagram)
**使用场景 / Use Cases / 使用事例:**
- ER 图转数据库 Schema
- UML 图转代码接口
- 系统架构图转服务定义
**工具调用示例 / Tool Call Example / ツール呼び出し例:**
```python
understand_technical_diagram(
image_path="/path/to/diagram.png",
output_type="schema" # 或 "interface", "service"
)
What ships with it
1 file 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.
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.
- 12d ago First seen · 211 lines · 22 tokens per session scan A d39a1d5e488a
vision-expert is a skill published in the GitHub repository tianxiao1430-jpg/zai-skills (16 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 1,539 once invoked, about $0.0001 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.
Other skills, from other repositories
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
doubt-driven-development
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high…
systematic-debugging
A step-by-step method for finding the underlying cause of technical problems before changing code. It covers reading errors, reproducing failures, checking recent changes, and tracing data across system components.
skillshare-ui-website-style
Skillshare frontend design system for the React dashboard (ui/) and Docusaurus website (website/). Use this skill whenever you: build or modify a dashboard page or component in ui/src/, style or layout website pages or custom CSS in website/, create new React components for the dashboard, add pages to the dashboard…
cherry-studio-feedback
A guide for handling Cherry Studio bug reports, interface problems, user-experience issues, and feature suggestions.
browser-trace
Capture a full DevTools-protocol trace of any browser automation — CDP firehose, screenshots, and DOM dumps — then bisect the stream into per-page searchable buckets. Use when the user wants to debug a failed run, audit network/console/DOM activity, attach a trace to an in-progress session, or feed structured per-page…