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image-face-recognition
作者
jpengcheng523-netizen
· GitHub ↗
· v1.0.0
· MIT-0
150
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install jpeng-image-face-recognition
功能描述
Recognize and identify faces
使用说明 (SKILL.md)
Image Face Recognition
Recognize and identify faces
When to Use
- User needs ai related functionality
- Automating recognition tasks
- Image operations
Usage
python3 scripts/image_face_recognition.py --input \x3Cinput> --output \x3Coutput>
Configuration
Set required environment variables:
export RECOGNITION_API_KEY="your-api-key"
Output
Returns JSON with results:
{
"success": true,
"data": {}
}
安全使用建议
This skill is incomplete and inconsistent. Before installing or using it, ask the publisher for: (1) the missing code (scripts/image_face_recognition.py) or a clear install procedure; (2) which external recognition service the RECOGNITION_API_KEY is for and why it's needed; (3) a declaration of required env vars/primary credential in the registry metadata; and (4) a trustworthy source/homepage and license. Do not export sensitive API keys into shared shells unless you trust the source; prefer using a scoped key, ephemeral credentials, or secrets management. If the publisher cannot provide clarifying details and signed code, treat the skill as untrusted and avoid running arbitrary scripts it references.
能力评估
Purpose & Capability
The skill name and description (face recognition) are plausible, but the SKILL.md expects a local script (scripts/image_face_recognition.py) and an API key. The published bundle contains no code, no binaries, no install, and the registry metadata declares no required env vars or credentials — that mismatch is incoherent with the stated purpose.
Instruction Scope
Runtime instructions are narrowly scoped (run a python script, set RECOGNITION_API_KEY, output JSON) and do not ask to read unrelated system files. However the instructions reference a non-existent script path and an API key without specifying the service/endpoint, which is ambiguous and could cause the agent to attempt undefined behavior or require out-of-band resources.
Install Mechanism
There is no install spec (lowest-risk pattern), but because the instructions expect a local Python script that is not included, the skill as-published is incomplete. This makes it unclear what will actually execute if the agent follows the instructions or if a user supplies their own script (potential safety/verification gap).
Credentials
SKILL.md tells users to export RECOGNITION_API_KEY, yet the skill metadata lists no required env vars or primary credential. Requesting an API key is plausible for a recognition service, but the absence of metadata and the lack of any service details make this request disproportionate and unexplained.
Persistence & Privilege
No elevated privileges requested: always is false, no config paths or system-wide changes are described, and the skill is user-invocable. There is no evidence it would persist or modify other skills or system settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install jpeng-image-face-recognition - 安装完成后，直接呼叫该 Skill 的名称或使用
/jpeng-image-face-recognition触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
jpeng-image-face-recognition 1.0.0 initial release:
- Introduces face recognition and identification in images.
- Provides command-line usage for processing images and outputting results.
- Requires configuration of an API key via environment variable.
- Outputs results in JSON format for easy integration.
元数据
常见问题
image-face-recognition 是什么？
Recognize and identify faces. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 150 次。
如何安装 image-face-recognition？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jpeng-image-face-recognition」即可一键安装，无需额外配置。
image-face-recognition 是免费的吗？
是的，image-face-recognition 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
image-face-recognition 支持哪些平台？
image-face-recognition 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 image-face-recognition？
由 jpengcheng523-netizen（@jpengcheng523-netizen）开发并维护，当前版本 v1.0.0。
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