ai-vision
Skill2 starsChanged 9 months agoMITView on GitHub
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
- Reads credentials
In this repository7 other files it gives its agents.
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 26
Default Doubao configuration via environment variables:
- Very specific: line 34
Default model if none provided: doubao-seed-1-6-vision-250815.
- Very specific: line 50
When --log-json is set, logs are emitted as JSON.
- Distinctive: line 76
If the model outputs relative coordinates (1000x1000), the script scales to screen pixels.
- Very specific: line 78
Use --log-level debug to print the raw model response for troubleshooting.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AI Vision
Overview
This skill provides a standalone CLI to call multimodal models for UI querying, assertion, and single-step planning. It does not depend on device type; you supply a screenshot and receive structured output (coordinates, decisions, or next actions). Execution and multi-step loops are handled externally by agents using adb/hdc or other drivers. Prefer storing screenshots in ~/.eval/screenshots/ and add timestamps to avoid overwriting.
Path Convention
Canonical install and execution directory: ~/.agents/skills/ai-vision/. Run commands from this directory:
cd ~/.agents/skills/ai-visionOne-off (safe in scripts/loops from any working directory):
(cd ~/.agents/skills/ai-vision && npx tsx scripts/ai_vision.ts --help)Model Configuration
Default Doubao configuration via environment variables:
ARK_BASE_URL(e.g.https://ark.cn-beijing.volces.com/api/v3)ARK_API_KEYARK_MODEL_NAME
For non-Doubao providers, pass explicit flags:
--base-url,--api-key,--model
Default model if none provided: doubao-seed-1-6-vision-250815.
Script
Path: scripts/ai_vision.ts
Run with:
npx tsx scripts/ai_vision.ts --helpLog level (for troubleshooting raw model response):
npx tsx scripts/ai_vision.ts --log-level debug <command> [flags]Output formatting:
- When
--log-jsonis set, logs are emitted as JSON. - Otherwise, the final result is pretty-printed JSON, and logs are colorized when TTY is available.
AIQuery
npx tsx scripts/ai_vision.ts query \
--screenshot ~/.eval/screenshots/ui_YYYYMMDD_HHMMSS.png \
--prompt "请识别屏幕上的‘搜索’按钮,并返回其坐标"AIAssert
npx tsx scripts/ai_vision.ts assert \
--screenshot ~/.eval/screenshots/ui_YYYYMMDD_HHMMSS.png \
--prompt "当前页面包含搜索框"plan-next (single-step planning)
npx tsx scripts/ai_vision.ts plan-next \
--screenshot ~/.eval/screenshots/ui_YYYYMMDD_HHMMSS.png \
--prompt "点击放大镜图标进入搜索页"Output Notes
plan-nextreturns a normalized next action with absolute pixel coordinates.- If the model outputs relative coordinates (1000x1000), the script scales to screen pixels.
- Combine with adb/hdc actions (e.g.,
adb shell input tap X Y) for device control. - Use
--log-level debugto print the raw model response for troubleshooting.
Default Models (Doubao)
doubao-seed-1-8-251228doubao-seed-1-6-vision-250815
References
references/doubao-api.md
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