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拍照识万物
by
ZhangYangGZ11
· GitHub ↗
· v2.0.0
· MIT-0
122
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1
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Install in OpenClaw
/install vision-identify
Description
万物识别智能体 - 通过图片识别物品、动植物、人物、商品、文字等一切可见事物。 当用户上传图片并询问"这是什么"、"帮我识别"、"拍照识物"、"识图"、"图片识别"、"这张图里有什么"时触发。 核心特点：不仅识别物品，更分析场景、推断意图、给出精准选购方案，防止买错。
Usage Guidance
This skill is internally consistent, but before installing check: (1) Privacy — uploaded images will be sent to the platform/model (references mention Tencent Mixed-Yuan/Turbo); avoid uploading sensitive photos (faces, IDs, private documents) unless you accept that processing by the model provider. (2) Source verification — the package lists a homepage (wtmvw.com) and an author handle; verify the site/author if you require provenance. (3) Misidentification risk — image-based identification can be wrong; treat medical/legal/safety-critical inferences cautiously. (4) If you need stricter data handling, confirm whether your deployment keeps images local or sends them to external APIs before enabling the skill.
Capability Analysis
Type: OpenClaw Skill
Name: vision-identify
Version: 2.0.0
The 'vision-identify' skill bundle consists entirely of documentation and prompt instructions (SKILL.md, README.md, _meta.json) designed to guide an AI agent in performing image recognition and providing shopping advice. There is no executable code, no evidence of data exfiltration, and no malicious prompt injection intended to hijack the agent's behavior for harmful purposes.
Capability Assessment
Purpose & Capability
Name/description (image recognition + scene analysis + shopping advice) match the SKILL.md content. The skill does not request unrelated credentials, binaries, or config paths; all declared functionality is achievable with image input and model outputs.
Instruction Scope
SKILL.md gives detailed, bounded instructions on how to analyze images, infer intent, and produce shopping recommendations in specific formats. It assumes the platform will forward uploaded images to a multimodal model (references mention WorkBuddy/Tencent Turbo). This is expected for a vision skill, but users should note images will be included in model context (privacy consideration).
Install Mechanism
No install spec and no code files — instruction-only skill. Nothing is downloaded or written to disk as part of the skill package itself, which reduces install-time risk.
Credentials
The skill requires no environment variables, no credentials, and no configuration paths. That is proportional to its stated purpose (uses platform model and image input only).
Persistence & Privilege
Default privileges (not always:true, user-invocable, model invocation allowed) are appropriate. The skill does not request persistent system-level presence or modify other skills or system configs.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install vision-identify - After installation, invoke the skill by name or use
/vision-identify - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
Initial release v2.0.0:
- 万物识别：动植物、商品、五金配件、电子产品、场景地点等
- 场景分析：观察物品状态，推断用户真实意图
- 精准选购：关联推荐防买错，线上线下双渠道
- 兼容提醒：容易买错的地方用 ⚠️ 标注
Metadata
Frequently Asked Questions
What is 拍照识万物?
万物识别智能体 - 通过图片识别物品、动植物、人物、商品、文字等一切可见事物。 当用户上传图片并询问"这是什么"、"帮我识别"、"拍照识物"、"识图"、"图片识别"、"这张图里有什么"时触发。 核心特点：不仅识别物品，更分析场景、推断意图、给出精准选购方案，防止买错。 It is an AI Agent Skill for Claude Code / OpenClaw, with 122 downloads so far.
How do I install 拍照识万物?
Run "/install vision-identify" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 拍照识万物 free?
Yes, 拍照识万物 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 拍照识万物 support?
拍照识万物 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 拍照识万物?
It is built and maintained by ZhangYangGZ11 (@zhangyanggz11); the current version is v2.0.0.
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