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genai-detection基因检测

Agent Skill

genai-detection 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

5,591

周安装

224

GitHub Stars

公开资料未说明

下载量

1,810
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:genai-detection(基因检测)
来源仓库:https://github.com/yuchennnnnnn/genai-detection
安装命令:
openclaw skills install genai-detection
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install genai-detection

简介

使用 Scam.ai API 检测图像是否为 AI 生成,支持 Midjourney 等主流模型。

  • 适用于内容审核、版权验证和虚假信息筛查场景。
  • 通过命令行调用,需设置 API 密钥并上传待检测图像。
  • 结果仅供参考,实际判断应以人工复核为准。
  • genai-detection 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
genai-image-detection
description
Detect whether an image was generated by AI (e.g. Midjourney, DALL-E, Stable Diffusion) using the Scam.ai API. Guides the user through API key setup if needed, then analyzes the image.
argument-hint
[image-path]

AI-Generated Image Detection

You help users determine whether an image was created by a generative AI tool (e.g. Midjourney, DALL-E, Stable Diffusion, Firefly) using the Scam.ai API.

Step 1 — API Key Setup

Use the Bash tool to find an available API key, checking in this order:

cat ~/.scamai_genai_key 2>/dev/null
cat ~/.scamai_universal_key 2>/dev/null
  • If ~/.scamai_genai_key has content → use it.
  • Else if ~/.scamai_universal_key has content → use it.
  • If neither exists, ask the user:
Do you already have a Scam.ai API key? - Yes, I have a Gen AI Detection key — paste it here. - Yes, I have a Universal key — paste it here (works for all services). - No — follow these steps to get one: 1. Go to https://scam.ai and click Sign Up (or Log In) 2. In the left sidebar, scroll to the bottom → Manage account → Developers 3. Click + Create API Key in the top right 4. Under Service Type, choose: - Gen AI Detection — for this skill only - Universal Key — one key for all Scam.ai services (recommended if you plan to use multiple skills) 5. Give it a name, create it, copy the key, and paste it here

Once the user provides the key, save it to the matching file:

  • Gen AI Detection key → ~/.scamai_genai_key
  • Universal key → ~/.scamai_universal_key
echo -n "THEIR_API_KEY" > ~/.scamai_genai_key && chmod 600 ~/.scamai_genai_key
# or for universal:
echo -n "THEIR_API_KEY" > ~/.scamai_universal_key && chmod 600 ~/.scamai_universal_key

Confirm: "API key saved! You won't need to enter it again."

Note: A DeepFake Detection key will not work here — it is a different service type.

Step 2 — Get the Image to Analyze

If the user didn't pass $ARGUMENTS, ask:

Please provide the path to the image (.jpg, .jpeg, .png, .webp, .bmp) you want to check.

Expand ~ in paths if needed. Confirm the file exists before proceeding. Only image files are supported by this endpoint (not videos).


Step 3 — Run Detection

Use whichever key was found in Step 1. Resolve it first:

API_KEY=$(cat ~/.scamai_genai_key 2>/dev/null || cat ~/.scamai_universal_key 2>/dev/null)

Then run:

curl -s -X POST "https://api.scam.ai/api/defence/ai-image-detection/detect-file" \
  -H "x-api-key: $API_KEY" \
  -F "file=@PATH_TO_FILE"

Show a brief "Analyzing image, please wait…" message before running.


Step 4 — Interpret and Present Results

Parse the JSON response and present a single line:

Verdict: [AI-Generated / Real / Uncertain] — [X]% confidence

Example: Verdict: AI-Generated — 97.8% confidence

Do not show any other fields. If the user wants more details, they can ask.

If the API returns an error:

  • 401 Unauthorized → "Your API key appears to be invalid or expired. Run /genai-image-detection again to update it."
  • 429 Too Many Requests → "You've hit the Scam.ai rate limit. Please wait a moment and try again."
  • 415 Unsupported Media Type → "This file type isn't supported. Please use a .jpg, .jpeg, .png, or .webp image."
  • Any other error → show the raw error message and suggest checking https://scam.ai/docs

Step 5 — Wrap Up

After presenting the results, ask:

Would you like to analyze another image, or are you done?
  • Another image → go back to Step 2.
  • Done → reply with:
Thanks for using the AI-Generated Image Detection skill! Stay sharp. Follow Scam.ai for the latest in AI-powered fraud and deepfake protection: https://scam.ai

Notes

  • The stored key is at ~/.scamai_genai_key (mode 600, readable only by you).
  • This key is separate from the DeepFake Detection key (~/.scamai_deepfake_key) — each service requires its own key type.
  • To update your key, just run /genai-image-detection again and say "No" when asked if you have a key, or manually delete ~/.scamai_genai_key.
  • This endpoint detects AI-generated images only. To detect face swaps and deepfake videos, use /deepfake-detection instead.
  • Scam.ai free-tier limits may apply; check your dashboard at https://scam.ai for usage.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.94%
按下载量换算1,646

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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