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jpengcheng523-netizen

image-face-recognition

by jpengcheng523-netizen · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
150
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1
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Install in OpenClaw
/install jpeng-image-face-recognition
Description
Recognize and identify faces
README (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": {}
}
Usage Guidance
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install jpeng-image-face-recognition
  3. After installation, invoke the skill by name or use /jpeng-image-face-recognition
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug jpeng-image-face-recognition
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is image-face-recognition?

Recognize and identify faces. It is an AI Agent Skill for Claude Code / OpenClaw, with 150 downloads so far.

How do I install image-face-recognition?

Run "/install jpeng-image-face-recognition" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is image-face-recognition free?

Yes, image-face-recognition is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does image-face-recognition support?

image-face-recognition is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created image-face-recognition?

It is built and maintained by jpengcheng523-netizen (@jpengcheng523-netizen); the current version is v1.0.0.

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