lov-describe-image SKILL.md skillA

lov-describe-image from lovstudio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lovstudio/skills/lov-describe-image@v0.2.1

Pins v0.2.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lovstudio/skills
Path
skills/describe-image/SKILL.md
Versions recorded
4
Latest version
v0.2.1, committed Sep 25, 2026
First version recorded
Aug 20, 2026
Size
3,371 bytes
Repository stars
72
License
MIT

给纯文本模型"看图":调用智谱 GLM-4V-Flash(免费)把图片转成文字描述。当用户要求描述/识别/读取图片,或任务里出现图片文件(截图/图表/照片)而当前模型无法直接看图时,优先调用本 skill。需要图片磁盘路径,可附带具体问题。.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# 看图说话 · Image Narrator

给纯文本模型"看图":把图片发送给视觉模型(智谱 GLM-4V-Flash,免费),返回文字描述,让本身不具备视觉能力的模型(如 deepseek-v4-flash)能间接"看到"图片内容。

## Triggers

### Activate when

- 用户要求"看看/描述/识别/读懂/读取/识别这张图",或询问图片里写了什么。
- 任务上下文里出现图片文件(截图、图表、照片、海报、含文字的图),而当前模型无法直接看图。
- 需要从含文字的图片(界面截图、文档扫描、图表)中提取具体信息,例如检查异常、转录文字、核对内容。

### Do not activate when

- 用户只是要求生成、编辑、压缩或转换图片,而不是理解图片内容。
- 当前模型本身具备视觉能力、能直接看到图片,无需转述。
- 用户明确要求走 dsh 的原生多模态管线、项目内置读图工具,或指定了其他视觉后端。

## Usage

```bash
python3 ~/.claude/skills/lov-describe-image/scripts/describe_image.py "<图片路径>" "[具体问题]"
```

- `<图片路径>` 必填:绝对路径,或相对当前工作区的路径(建议绝对路径,避免歧义)。
- `[具体问题]` 可选:想从图中知道的具体信息;省略则让视觉模型完整描述(物体/场景/布局/颜色/风格/所有文字)。

## Behavior

- 读取文件 → 超 5MB 自动用 `sips` 降采样到 2048px → base64 编码 → 调 GLM-4V-Flash(`max_tokens` 上限 1024)。
- 返回的文本就是视觉模型的回答,直接向用户转述,不要添油加醋,也不要声称"看到了原图"。
- 失败时(未设 key / 网络 / 尺寸超限)会打印明确错误,按提示处理即可。
- 小模型对细节核对(逐字转写)置信度有限;重要结论建议用更强的视觉模型(如 Gemini)交叉验证。

## Prerequisites

- 环境变量 `ZHIPU_API_KEY`(智谱 key,格式 `id.secret`,注册地址:https://bigmodel.cn/apikey/platform)。
- macOS 自带 `sips`(大图降采样)与 `python3`。

## 通用反馈闭环

用户在 Skill 驱动任务中提出修改意见时,继续当前产物前必须执行:

1. 先判断意见是 `task-specific`(仅本次)还是 `reusable`(可跨任务复用)。
2. `task-specific` 只修改当前任务,不改 Skill。
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lovstudio/skills/lov-describe-image@sha256:4f7c677899e7b9a8

The line at the top of this page pins the label v0.2.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_giuhos7ccox6xvic.svg)](https://markdownregistry.com/a/art_giuhos7ccox6xvic)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Aug 20, 2026 and Sep 25, 2026, about one every 12 days.

versioncommittedcommitsizeaudit
v0.2.1 latest2026-09-25 4b67fd1 3,371 BA view · diff
v0.2.02026-09-07 a09848e 3,330 BA view · diff
v0.2.02026-08-23 00fafa8 3,318 BA view · diff
v0.1.02026-08-20 8b4d13a 2,596 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3371 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lovstudio/skills · 72 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_giuhos7ccox6xvic
GET https://markdownregistry.com/api/v1/resolve?ref=lovstudio/skills/lov-describe-image
GET https://markdownregistry.com/api/v1/blob/4f7c677899e7b9a8282aef7c88d970d1b0d2d5b8f90e06b971a3ce4db90dae9e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

More from lovstudio/skills

CLAUDE.md CLAUDE.md file
lovstudio/skills · CLAUDE.md
git:20261031.adbb937 · audit A · 72 stars
lov-academic-translator SKILL.md skill
lovstudio/skills · skills/academic-translator/SKILL.md · 将英文论文、arXiv、期刊/会议文章及技术 PDF 翻译为中文 PDF 或可发布的中文 Markdown。用户提出“翻译英文 PDF”“翻译论文”“论文超级翻译官”“保留图片、公式和原版式”“原文译文对照”“页数对应”或“PDF
v0.2.0 · audit A · 72 stars
lov-add-task SKILL.md skill
lovstudio/skills · skills/add-task/SKILL.md · 在当前任务清单中按优先级和位置追加事项并保留已有状态。支持明确输入与结果回读。Use to add an item to the current
v0.1.2 · audit A · 72 stars
lov-add-tool SKILL.md skill
lovstudio/skills · skills/add-tool/SKILL.md · 为现有网站新增可用的在线工具,并接入多语言、工具目录、站点地图和必要的成本提示。支持明确输入与结果回读。Use to add an online
v0.1.2 · audit A · 72 stars
lov-agent-instructions SKILL.md skill
lovstudio/skills · skills/agent-instructions/SKILL.md · 诊断或完善项目 Agent 指令文件,适配不同宿主并保留真实工程约定。支持明确输入与结果回读。Use to review or improve
v0.1.2 · audit A · 72 stars
lov-algo-viz-creator SKILL.md skill
lovstudio/skills · skills/algo-viz-creator/SKILL.md · 为算法、数据结构或信息流程生成「逐步演示」的可交互可视化。输入:算法名或 概念描述(如“把 KMP 做成可视化”)。输出:自包含单文件 HTML,支持播放/暂停/ 逐帧/变速与键盘演示,每步附中文解说与伪代码高亮。 触发语:做成可视化 /…
v0.1.1 · audit A · 72 stars
lov-align-wechat-uiux SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/SKILL.md · 系统诊断并修复产品与微信官方在消息、会话、联系人、朋友圈及交互上的语义和 UIUX 偏差;适用于“对齐微信官方”“这条微信消息显示不对”、"fix WeChat UI parity" 或 "audit WeChat behavior"。
v0.2.1 · audit A · 72 stars
lov-wechat-evidence SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-evidence/SKILL.md · 为微信体验差异建立可追溯证据集,关联官方表现、当前产品、原始记录、代码路径与版本环境;适用于“先确认微信官方怎么表现”、"review the WeChat reference" 或 parity evidence audit。
v0.1.1 · audit A · 72 stars
lov-wechat-parity-validation SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-parity-validation/SKILL.md · 验证微信体验修复是否同时覆盖解析、共享表现、视觉交互、下游消费者与真实运行时;适用于“验收微信对齐”“还有没有漏改”、"review the parity fix" 或 validate WeChat behavior。
v0.1.1 · audit A · 72 stars
lov-wechat-semantics SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-semantics/SKILL.md · 将微信数据库类型、嵌套 XML/JSON、身份与状态归一为稳定产品语义,定位最早失真层;适用于“这是什么微信消息”“修复消息分类”、"model the WeChat message" 或 review parser semantics。
v0.1.1 · audit A · 72 stars
lov-wechat-ui-parity SKILL.md skill
lovstudio/skills · skills/align-wechat-uiux/skills/wechat-ui-parity/SKILL.md · 在既有设计系统内实现微信官方的消息层级、组件语义、交互状态与视觉密度;适用于“按微信官方改这个组件”“还原微信聊天体验”、"build the WeChat UI behavior" 或 fix official UI parity。
v0.1.1 · audit A · 72 stars
lov-anti-wechat-ai-check SKILL.md skill
lovstudio/skills · skills/anti-wechat-ai-check/SKILL.md · 兼容旧命令的中文表层模式扫描器,只定位套话、句段均匀和过渡词等可观察特征, 不判断作者身份或平台风险。新任务请使用 lov-human-writing。Use only for legacy “anti-ai-check”…
v1.1.2 · audit A · 72 stars

Every file in lovstudio/skills

Browse by kind, by grade A, or by owner.