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 iflytek/iFly-Skills --skill iflytek-image-understandinggit clone --depth 1 https://github.com/iflytek/iFly-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/iflytek/ifly-skills/iflytek-image-understanding)<a href="https://agentmods.dev/skills/iflytek/ifly-skills/iflytek-image-understanding"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-image-understanding/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/iflytek/ifly-skills/iflytek-image-understanding"><img src="https://agentmods.dev/badge/skills/iflytek/ifly-skills/iflytek-image-understanding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01423 |
| Opus 5 | $0.00030 | $0.00711 |
| Sonnet 5 | $0.00012 | $0.00285 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
iflytek-image-understanding 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 10d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ifly-image-understanding
Analyze images and answer questions about their content using iFlytek's Spark Vision model (图片理解).
Setup
- Create an app at 讯飞控制台 with 图片理解 service enabled
- Set environment variables:
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
python3 scripts/image_understanding.py photo.jpg
Ask a question about an image
python3 scripts/image_understanding.py photo.jpg -q "图片里有什么动物？"
Use basic model (lower token cost)
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 |
Examples
# OCR a receipt
python3 scripts/image_understanding.py receipt.png -q "总金额是多少？"
# Identify objects
python3 scripts/image_understanding.py scene.jpg -q "图片中有哪些物体？"
# Low-cost basic model
python3 scripts/image_understanding.py chart.png -q "图表的趋势是什么？" -d general
Notes
- Image formats: .jpg, .jpeg, .png
- Max image size: 4MB
- Max tokens: 8192 (input + output combined)
- Auth: HMAC-SHA256 signed WebSocket URL
- Endpoint:
wss://spark-api.cn-huabei-1.xf-yun.com/v2.1/image - Pure stdlib: No pip dependencies — uses built-in
socket+sslfor WebSocket - Model versions:
imagev3(advanced, dynamic token cost) vsgeneral(basic, fixed 273 tokens/image)
错误码说明 😢
遇到错误先别慌～看看下面找到对应的解决方法吧！✨
| 错误码 | 错误信息 | 解决办法 |
|---|---|---|
| 0 | 🎉 成功 | 恭喜你！请求正常完成啦～ |
| 10003 | 用户的消息格式有错误 | 检查一下你的请求格式是否正确哦～确保发送的是合法的JSON格式呢！ |
| 10004 | 用户数据的schema错误 | 看起来数据结构有点问题～请检查一下字段名称和类型是否正确呀！ |
| 10005 | 用户参数值有错误 | 参数值可能不太对呢～仔细核对一下每个参数的有效范围吧！ |
| 10006 | 用户并发错误：同一用户不能多处同时连接 | 检测到重复连接啦！请确保只有一个客户端在连接同一个用户ID哦～ |
| 10013 | 用户问题涉及敏感信息，审核不通过 | 哎呀，你的问题可能包含了一些不太合适的内容～换个问题试试看吧！ |
| 10022 | 模型生产的图片涉及敏感信息，审核不通过 | 生成的图片没有通过审核呢...很抱歉，换张图片再试一下吧！ |
| 10029 | 图片任何一边的长度超过12800 | 图片尺寸太大啦！请确保图片宽高都不超过12800像素哦～ |
| 10041 | 图片分辨率不符合要求 | 图片尺寸不合适的呢～要求是：50×50 < 图片总像素值 < 6000×6000 哦！ |
| 10907 | Token数量超过上限 | 内容太丰富啦！对话历史+问题的字数太多，需要精简一下输入哦～ |
What ships with it
3 files 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.
- 10d ago First seen · 120 lines · 61 tokens per session scan A d505a0d5a2be
iflytek-image-understanding is a skill published in the GitHub repository iflytek/iFly-Skills (216 stars, last pushed 2d ago), licensed Apache-2.0. It adds 61 tokens to every session and 1,423 once invoked, about $0.0003 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.
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