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Image Quality Assessment Analysis Tool | 图像质量检测分析工具

Detects quality issues in camera footage such as black/white screens, color cast, stripes, noise, and blurriness. Suitable for security surveillance and camera self-check scenarios. | 图像质量检测分析工具，检测摄像头画面出现的全黑、全白、偏色、条纹、雪花、模糊等质量问题，适用于安防监控、摄像头自检等场景 Skill: Image Quality Assessment Analysis Tool | 图像质量检测分析工具 Owner: smyx-sunjinhui Summary: Detects quality issues in camera footage such as black/white screens, color cast, stripes, noise, and blurriness. Suitable for security surveillance and camera self-check scenarios. | 图像质量检测分析工具，检测摄像头画面出现的全黑、全白、偏色、条纹、雪花、模糊等质量问题，适用于安防监控、摄像头自检等场景 Tags: latest:1.0.13 Version history: v1.0.13 | 2026-10-04T10:14:25.865Z | auto - Upda

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.0k

Updated

Oct 9, 2026

Version

1.0.13

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.13release · observed Oct 4, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17cfv2h26b7hq5w47tgfy23xx83z9x6:smyx-image-quality-detection-analysis

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-smyx-sunjinhui-smyx-image-quality-detection-analysis/snapshot"

Documentation

CLAWHUB

121,341 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "image-quality-detection-analysis"
description: "Detects quality issues in camera footage such as black/white screens, color cast, stripes, noise, and blurriness. Suitable for security surveillance and camera self-check scenarios. | 图像质量检测分析工具，检测摄像头画面出现的全黑、全白、偏色、条纹、雪花、模糊等质量问题，适用于安防监控、摄像头自检等场景"
version: "1.0.16"
license: "MIT-0"
---

# 🖼️ Image Quality Assessment Analysis Tool | 图像质量检测分析工具
> **智能分析中枢** · 图片/视频智能分析 · 结构化报告 · 历史报告云端查询

---

## 🧭 技能概览 | Overview

| 模块 | 内容 |
|---|---|
| 🏷️ 技能名称 | **图像质量检测分析工具** |
| 🎯 核心目标 | 图像质量检测分析工具，检测摄像头画面出现的全黑、全白、偏色、条纹、雪花、模糊等质量问题，适用于安防监控、摄像头自检等场景 |
| 🖼️ 输入类型 | 图片、视频、本地文件、网络 URL |
| 📝 输出能力 | 结构化分析报告、识别/监测结果、建议与报告链接 |
| 🧩 场景码 | `IMAGE_QUALITY_DETECTION` |

This capability automatically detects typical image quality issues in camera feeds, such as blackouts, overexposure,
color casts, stripes, snow noise, and blurriness, supporting real-time video stream analysis. Through brightness
histogram analysis, spectral analysis, and color distribution modeling, the system rapidly identifies screen anomalies
and pinpoints the specific problem type. It is suitable for scenarios like daily self-checks of security monitoring
systems and camera operation and maintenance inspections, helping managers promptly identify equipment failures or
environmental interference to ensure the availability and integrity of monitoring data.

本技能可自动检测摄像头画面中出现的全黑、全白、偏色、条纹、雪花、模糊等典型图像质量问题，支持实时视频流分析。系统通过亮度直方图、频谱分析与色彩分布模型，快速识别画面异常并定位问题类型。适用于安防监控系统的日常自检、摄像头运维巡检等场景，帮助管理人员及时发现设备故障或环境干扰，保障监控数据的可用性与完整性。

## 🎬 技能演示 | Skill Demo

[▶️ 点击查看技能使用介绍](https://lifeemergence.com/sample.html)

---

## 🎯 任务目标 | Goals

### 1. 🧩 技能用途

通过摄像头抓拍图片/监控视频帧进行图像质量检测分析，识别各类画面质量问题

### 2. 🛠️ 能力范围

| 序号 | 具体能力 |
|---:|---|
| 1 | 全黑检测 |
| 2 | 全白检测 |
| 3 | 偏色检测 |
| 4 | 条纹干扰 |
| 5 | 雪花噪声 |
| 6 | 模糊检测 |
| 7 | 清晰度评分 |
| 8 | 质量问题分类 |

### 3. ⚡ 触发条件

| 触发类型 | 触发规则 |
|---|---|
| ✅ 默认触发 | **默认触发**：当用户提供图片/视频帧需要检测图像质量时，默认触发本技能进行图像质量分析 |
| 🔎 明确分析意图 | 当用户明确需要进行图像质量检测、摄像头自检时，提及图像质量、画面模糊、摄像头黑屏、偏色检测、雪花干扰等关键词，并且上传了图片或视频文件 |
| 📚 历史报告查询 | 当用户提及以下关键词时，**自动触发历史报告查询功能** ：查看历史质量检测报告、图像质量检测报告清单、检测报告列表、查询历史检测报告、显示所有检测报告、图像质量分析报告，查询图像质量检测分析报告 |

### 4. 🤖 自动行为

| 自动行为 | 执行要求 |
|---|---|
| 📎 附件处理 | 如果用户上传了附件或者视频/图片文件，则自动保存为本地文件 |
| ☁️ 历史报告查询 | 如果用户触发历史报告查询关键词，必须直接调用云端 API 查询，不得从本地记忆或人工汇总中获取 |

#### ⚠️ 强制数据获取规则（次高优先级）

> **橙色强约束：** 历史报告清单只允许从云端接口读取，不允许从本地记录、长期记忆或人工汇总中提取。

必须执行：

```bash
python -m scripts.image_quality_detection_analysis --list
```

| 类型 | 要求 |
|---|---|
| ✅ 必须 | 使用 `python -m scripts.image_quality_detection_analysis --list` 调用 API 查询云端的历史报告数据 |
| 🚫 严格禁止 | 从本地 `memory` 目录读取历史会话信息 |
| 🚫 严格禁止 | 手动汇总本地记录中的报告 |
| 🚫 严格禁止 | 从长期记忆中提取报告 |
| ✅ 输出格式 | 必须统一从云端接口获取最新完整数据，然后以 Markdown 表格格式输出结果 |

## 📦 前置准备 | Requirements
- 依赖说明:scripts 脚本所需的依赖包及版本
  ```
  requests>=2.28.0
  ```

## 🚀 操作步骤 | Workflow
### 🔐 用户身份处理（内部自动完成）

> **绿色安全原则：** 用户身份参数由系统内部自动处理，**不得向用户展示、询问或要求输入任何身份标识**。

执行本技能分析或历史报告查询时，脚本会自动完成身份初始化：

| 场景 | 系统行为 |
|---|---|
| 上游系统有内部身份参数 | 由脚本静默接收并使用 |
| 上游系统未提供内部身份

_meta.json

{
  "ownerId": "kn7cyxkr2ymf7zwsrybpedg8xx83ywrj",
  "slug": "smyx-image-quality-detection-analysis",
  "version": "1.0.13",
  "publishedAt": 1791108865865
}

references/api_doc.md

# API 接口文档

此处用于存放图像质量检测分析 API 的接口文档，待后续补充。

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 主要接口

1. `/web/ai-analysis/v2/start-common-ai-analysis` - 启动AI分析任务
2. `/web/ai-analysis/v2/get-common-ai-analysis-result` - 获取分析结果
3. `/web/ai-analysis/page-common-ai-analysis-result` - 分页查询历史报告
4. `/ai/order/api/getReportDetailExport?id={id}` - 导出完整报告

## 场景代码

- `OPEN_IMAGE_QUALITY_DETECTION_ANALYSIS` - 开放平台图像质量检测分析

skills/smyx_analysis/references/api_doc.md

# API接口文档

## 接口规范

- 基础地址：由 smyx_common 配置统一管理
- 认证方式：API Key 鉴权
- 请求格式：支持文件上传
- 响应格式：JSON

## 错误码说明

| 错误码 | 说明       |
|-----|----------|
| 400 | 请求参数错误   |
| 401 | API密钥无效  |
| 403 | 权限不足     |
| 413 | 文件过大     |
| 415 | 不支持的文件格式 |
| 500 | 服务器内部错误  |

scripts/config.yaml

{}

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