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Tomoviee Image Recognition
作者
wondershare-boop
· GitHub ↗
· v1.0.2
· MIT-0
388
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install tomoviee-image-recognition
功能描述
Auto-generate masks for objects/regions in images. Use when users request image_recognition operations or related tasks.
安全使用建议
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.
功能分析
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.
能力评估
Purpose & Capability
The declared purpose (auto-generate masks / image recognition) matches the provided client code and reference docs: the client posts images and prompts to an image-recognition endpoint and returns mask results. However there is a branding/endpoint mismatch: SKILL.md and external links reference tomoviee.ai, while the client posts to https://openapi.wondershare.cc. That may be benign (Tomoviee could be a Wondershare product) but it's an unexplained discrepancy worth verifying. Also the packaged reference docs describe many higher-level convenience methods (image_to_image, image_redrawing, image_recognition) but the actual client implements only low-level _make_request/get_result/poll_until_complete.
Instruction Scope
SKILL.md instructs running the included scripts and using a Python client, which is appropriate. But there are concrete inconsistencies in the runtime instructions: the Quick Start import refers to scripts/tomoviee_image_recognition_client.py (file not present) while the actual file is scripts/tomoviee_recognition_client.py. The docs show high-level methods (client.image_recognition, client.image_to_image) that are not implemented in the provided client class; instead only _make_request/get_result/poll_until_complete exist. These mismatches make the instructions unclear and give the agent broad discretion to call low-level endpoints. The instructions do not ask to read unrelated local files or environment variables.
Install Mechanism
No install spec; this is an instruction-and-scripts skill (no downloaded archives or third-party installers). All code is included in the bundle and nothing will be fetched during install. Risk from installation is low, though the included scripts will perform network requests at runtime.
Credentials
The skill declares no required environment variables or primary credential, which is consistent with the included client expecting the caller to pass an app_key/app_secret at runtime. That is proportional for an API client. However: the skill will require you to supply your app_key/app_secret to the scripts or code; those credentials will be sent (as Basic <base64>) to the openapi.wondershare.cc endpoints. Verify you trust that endpoint before providing secrets.
Persistence & Privilege
always is false and the skill does not request persistent agent-wide privileges or modify other skills. The skill does not attempt to store tokens in agent config or enable itself automatically. Normal autonomous invocation remains possible (platform default).
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 tomoviee-image-recognition - 安装完成后，直接呼叫该 Skill 的名称或使用
/tomoviee-image-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
v1.0.2
- Added _meta.json for improved metadata management.
- Included compiled Python cache file scripts/__pycache__/tomoviee_recognition_client.cpython-312.pyc.
- No changes to the documentation or core functionality.
v1.0.1
- Updated external resource URLs from tomoviee.cn to tomoviee.ai in the documentation.
- No other changes to features or functionality.
v1.0.0
- Initial release of tomoviee-image-recognition skill.
- Provides automatic mask generation for objects and regions in images.
- Python client and sample API usage included for quick integration.
- Supports multiple control types: edge, pose, subject, and depth.
- Async workflow with task status monitoring and result extraction.
- Documentation links and resources included for further guidance.
元数据
常见问题
Tomoviee Image Recognition 是什么？
Auto-generate masks for objects/regions in images. Use when users request image_recognition operations or related tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 388 次。
如何安装 Tomoviee Image Recognition？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tomoviee-image-recognition」即可一键安装，无需额外配置。
Tomoviee Image Recognition 是免费的吗？
是的，Tomoviee Image Recognition 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Tomoviee Image Recognition 支持哪些平台？
Tomoviee Image 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 Tomoviee Image Recognition？
由 wondershare-boop（@wondershare-boop）开发并维护，当前版本 v1.0.2。
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