iflytek-image-understanding SKILL.md skillA

iflytek-image-understanding from iflytek/ifly-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add iflytek/ifly-skills/iflytek-image-understanding@git:20260617.388181a

Pins git:20260617.388181a in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
iflytek/ifly-skills
Path
skills/iflytek-image-understanding/SKILL.md
Versions recorded
1
Latest version
git:20260617.388181a, committed Jun 17, 2026
Size
5,221 bytes
Repository stars
214
License
Apache-2.0

Use when user asks to analyze an image, describe image contents, or answer questions about a picture. iFlytek Image Understanding (图片理解) — analyze and answer questions about images using Spark Vision model. WebSocket API, pure Python stdlib, no pip dependencies.

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

# ifly-image-understanding

Analyze images and answer questions about their content using iFlytek's Spark Vision model (图片理解).

## Setup

1. Create an app at [讯飞控制台](https://console.xfyun.cn) with 图片理解 service enabled
2. Set environment variables:
   ```bash
   export IFLY_APP_ID="your_app_id"
   export IFLY_API_KEY="your_api_key"
   export IFLY_API_SECRET="your_api_secret"
   ```

## Usage

### Describe an image

```bash
python3 scripts/image_understanding.py photo.jpg
```

### Ask a question about an image

```bash
python3 scripts/image_understanding.py photo.jpg -q "图片里有什么动物?"
```

### Use basic model (lower token cost)

```bash
python3 scripts/image_understanding.py photo.jpg --domain general
```

### Options

| Flag | Short | Description |
|------|-------|-------------|
| `image` | | Image file path (.jpg, .jpeg, .png) |
| `--question` | `-q` | Question about the image (default: describe) |
| `--domain` | `-d` | `imagev3` (advanced, default) or `general` (basic, fixed 273 tokens/image) |
| `--temperature` | `-t` | Sampling temperature (0,1], default 0.5 |
| `--max-tokens` | | Max response tokens 1-8192, default 2048 |
| `--raw` | | Output raw WebSocket JSON frames |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add iflytek/ifly-skills/iflytek-image-understanding@sha256:d505a0d5a2bec2e4

The line at the top of this page pins the label git:20260617.388181a, 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_r5oc44pofavqny4g.svg)](https://markdownregistry.com/a/art_r5oc44pofavqny4g)

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

Versions

The registry has recorded 1 version of this file, committed on Jun 17, 2026.

versioncommittedcommitsizeaudit
git:20260617.388181a latest2026-06-17 388181a 5,221 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 (5221 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

iflytek/ifly-skills · 214 stars · license Apache-2.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_r5oc44pofavqny4g
GET https://markdownregistry.com/api/v1/resolve?ref=iflytek/ifly-skills/iflytek-image-understanding
GET https://markdownregistry.com/api/v1/blob/d505a0d5a2bec2e486039b5d09ba7ea0b6d2b8d36aa18361788d748be738abf2

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.

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