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shawn233

TencentCloud Image AIGC Detection

by Xinyu Wang · GitHub ↗ · v1.0.8 · MIT-0
cross-platform ⚠ suspicious
429
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Install in OpenClaw
/install tencentcloud-aigc-recog-image
Description
腾讯云 AI 生成图片识别 (TencentCloud Image AIGC Detection) 技能。适用于 AI 生成图片检测、图片真伪鉴别、AI 绘画检测、Deepfake 检测等场景。TencentCloud Image AIGC Detection is an AI-generated content...
Usage Guidance
What to consider before installing: - The skill legitimately needs Tencent Cloud credentials (TENCENTCLOUD_SECRET_ID, TENCENTCLOUD_SECRET_KEY) and a BizType; set these only if you trust the skill and the account. Registry metadata currently omits these required env vars — treat that as a red flag and prefer skills whose metadata matches their runtime requirements. - The repository includes a Python script that calls ims.tencentcloudapi.com using the official SDK. Verify the code (scripts/main.py) yourself and confirm there are no extra hidden endpoints or hardcoded secrets. The visible code uses the official SDK and standard endpoints. - There is no install spec: you will need to install tencentcloud-sdk-python (pip) manually or allow the agent to install it. Prefer installing dependencies from a known source (PyPI) in a controlled environment (virtualenv) rather than running arbitrary install commands as root. - Prefer using temporary STS tokens (TENCENTCLOUD_TOKEN) and least-privilege credentials. Don't hard-code secret keys; avoid putting long-lived secrets in globally sourced shell profile files unless you understand the exposure. - Note the skill instructs the agent to run the detection automatically (without extra confirmation) when the user asks for image detection. If you want manual approval before network calls or credential usage, don't enable autonomous invocation or require the agent to ask for explicit consent before running the script. - What would reduce risk: update the registry metadata to declare required env vars and primary credential, add an explicit install spec (pip install step), and include a brief security/permission note about credential scope or recommended roles. If those corrections are made and you review the code yourself, the skill would be closer to benign.
Capability Analysis
Type: OpenClaw Skill Name: tencentcloud-aigc-recog-image Version: 1.0.8 The skill bundle provides a legitimate interface for Tencent Cloud's AI-generated image detection service. The Python script (scripts/main.py) correctly handles API credentials and image processing (URL or local file) using the official Tencent Cloud SDK, communicating only with the legitimate endpoint ims.tencentcloudapi.com. The instructions in SKILL.md are focused on ensuring the AI agent uses the tool reliably and provides accurate feedback to the user without hallucination, and no malicious behaviors or significant security vulnerabilities were identified.
Capability Assessment
Purpose & Capability
The skill's name, SKILL.md, and scripts/main.py all implement Tencent Cloud Image AIGC detection and legitimately require Tencent Cloud API credentials and a BizType. However the registry metadata declares no required environment variables or primary credential, which is incorrect and inconsistent with the code and documentation.
Instruction Scope
SKILL.md instructs the agent to execute the included script for detection and to present configuration guidance if credentials are missing. It also instructs the agent to run the script autonomously without asking the user for confirmation when the user's intent matches detection queries. The instructions do not request unrelated files or external endpoints beyond Tencent Cloud APIs and official console links.
Install Mechanism
There is no install spec in the registry. scripts/main.py imports the official tencentcloud-sdk-python and will exit with an error if it's not installed, and the SKILL.md tells the agent/deployer to install dependencies manually. Lack of an explicit install block (e.g., pip install step or packaged dependency declaration) is a deployment gap — not directly malicious but increases friction and risk of ad-hoc dependency installation.
Credentials
The skill requires TENCENTCLOUD_SECRET_ID, TENCENTCLOUD_SECRET_KEY and TENCENTCLOUD_AIGC_RECOG_IMAGE_BIZ_TYPE (and optionally TENCENTCLOUD_TOKEN), which are exactly the credentials needed for the Tencent Cloud ImageModeration API. Those credentials are proportionate to the stated purpose — but the registry metadata failing to declare them is misleading and could cause accidental credential exposure or unexpected behavior.
Persistence & Privilege
always is false and the skill does not request persistent presence or system-wide changes. However, SKILL.md explicitly directs the agent to invoke the detection script autonomously and without asking confirmation when user intent matches; that increases the chance the agent will make network calls using the provided Tencent credentials without an extra user prompt. This is functional for the use case but worth awareness.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install tencentcloud-aigc-recog-image
  3. After installation, invoke the skill by name or use /tencentcloud-aigc-recog-image
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.8
- Added English introductions and descriptions for international users alongside the original Chinese content. - Updated the skill description to clarify its purpose in both Chinese and English, with greater emphasis on TencentCloud AIGC Detection functions. - Adjusted command usage examples to include English comments, improving clarity for non-Chinese speakers. - No changes to code, API, or behavior—documentation update only.
v1.0.7
- 增加了支持检测 Stable Diffusion、Midjourney、GPT‑4o 等主流模型生成图片的描述 - 其余功能、接口说明、环境配置方式与上版本一致 - 文档内容做了简要补充,更突出实际适用范围和能力
v1.0.6
- improve SKILL.md
v1.0.5
- 更新 Agent 执行规范:依赖安装需由 Agent 手动执行,不再自动安装。 - 增加说明:首次使用时必须确保依赖已安装,禁止跳过依赖安装步骤。 - 明确禁止行为:补充“禁止跳过依赖安装”相关指令,确保执行一致性。 - 依赖安装说明调整:依赖安装命令中特别提示需“Agent 需手动安装”。
v1.0.4
- 添加了 openclaw metadata,明确声明执行所需环境变量和可用 pip。 - 环境依赖说明中“安装依赖(可选 - 脚本会自动安装)”更改为常规“安装依赖”格式。 - 其余文档内容无实质变更,仅元数据有更新。
v1.0.3
- Maintenance release with minor code adjustments in scripts/main.py. - No user-facing changes or new features.
v1.0.1
Changelog for version 1.0.1: - 环境变量名规范:将环境变量 `TENCENTCLOUD_IMAGE_AIGC_RECOG_BIZ_TYPE` 更名为 `TENCENTCLOUD_AIGC_RECOG_IMAGE_BIZ_TYPE`,文档内容同步更新。 - 优化环境配置指引:完善 BizType 获取与环境变量设置说明,增强出错时的指引要求,确保用户能一次性完成全部环境配置。 - 修订 Agent 指令:明确首次使用或环境缺失时须完整展示配置指引,提升 Agent 行为的规范性和用户体验。 - 精简开头 Skill 描述,聚焦于核心场景和功能。
v1.0.0
Initial release of Tencent Cloud AI-Generated Image Detection Skill. - Enables AI-generated image detection using Tencent Cloud ImageModeration API (Type=IMAGE_AIGC). - Supports both image URLs and local file inputs (PNG, JPG, JPEG, BMP, GIF, WEBP, up to 5MB). - Returns suggestion (Pass/Review/Block), risk score (0-100), detailed labels, and detection results. - Requires configuration of Tencent Cloud API credentials and BizType as environment variables. - Provides clear error outputs and guidance if credentials or BizType are missing. - Includes agent usage rules and API references for accurate, automated detection and result interpretation.
Metadata
Slug tencentcloud-aigc-recog-image
Version 1.0.8
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 8
Frequently Asked Questions

What is TencentCloud Image AIGC Detection?

腾讯云 AI 生成图片识别 (TencentCloud Image AIGC Detection) 技能。适用于 AI 生成图片检测、图片真伪鉴别、AI 绘画检测、Deepfake 检测等场景。TencentCloud Image AIGC Detection is an AI-generated content... It is an AI Agent Skill for Claude Code / OpenClaw, with 429 downloads so far.

How do I install TencentCloud Image AIGC Detection?

Run "/install tencentcloud-aigc-recog-image" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is TencentCloud Image AIGC Detection free?

Yes, TencentCloud Image AIGC Detection is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does TencentCloud Image AIGC Detection support?

TencentCloud Image AIGC Detection is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created TencentCloud Image AIGC Detection?

It is built and maintained by Xinyu Wang (@shawn233); the current version is v1.0.8.

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