Tomoviee Image Recognition

Auto-generate masks for objects/regions in images. Use when users request image_recognition operations or related tasks.

This skill appears to implement image-mask generation, but there are several packaging and documentation inconsistencies you should check before use: 1) Verify the actual network endpoint the code calls (openapi.wondershare.cc) is the service you intend to trust—SKILL.md links to tomoviee.ai which does not match the client URL. 2) Inspect the included Python files yourself; the client exposes low-level methods (_make_request/get_result/poll_until_complete) but the README examples show higher-level functions that are not implemented. 3) Only provide real app_key/app_secret credentials if you trust the API operator; credentials will be sent as HTTP Basic auth to the external API. If unsure, test with throwaway credentials and non-sensitive images first. 4) Fix or confirm the import/file name mismatch before running to avoid running unexpected code. If you want a clean install, ask the publisher to clarify the endpoint/branding and to update the docs so code and examples match.

Type: OpenClaw Skill Name: tomoviee-image-recognition Version: 1.0.2 The skill bundle provides a legitimate integration for the Tomoviee AI image recognition API. The Python client (tomoviee_recognition_client.py) and utility scripts (generate_auth_token.py) follow standard API interaction patterns, and the documentation (SKILL.md, image_apis.md) is consistent with the stated purpose of generating image masks. No evidence of data exfiltration, malicious execution, or prompt injection was found.