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SKILL verified MIT Self-run

Ai Vision

skill-httprunner-skills-ai-vision · by httprunner

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 p…

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Install

$ agentstack add skill-httprunner-skills-ai-vision

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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6mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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-vision

One-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_KEY
  • ARK_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 --help

Log level (for troubleshooting raw model response):

npx tsx scripts/ai_vision.ts --log-level debug  [flags]

Output formatting:

  • When --log-json is 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-next returns 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 debug to print the raw model response for troubleshooting.

Default Models (Doubao)

  • doubao-seed-1-8-251228
  • doubao-seed-1-6-vision-250815

References

  • references/doubao-api.md

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.