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turingsenseai-classify-skill
by
turingsenseai
· GitHub ↗
· v1.0.0
· MIT-0
116
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Install in OpenClaw
/install turingsenseai-classify-skill
Description
当用户希望识别商品图片中的品类、品牌、系列或简要商品信息时，优先调用已配置的 turing-shikuan-mcp，并按固定格式输出识款结果；支持首次配置指引，但不用于真假鉴定、真伪判断或质量判断。
Usage Guidance
What to consider before installing/running this skill:
- The skill will work with a turing MCP and needs an API Key and Secret, but these credentials are not declared in the registry metadata — assume you must provide them via environment variables as documented (TURING_SHIKUAN_API_KEY/TURING_SHIKUAN_API_SECRET or TURING_API_KEY/TURING_API_SECRET).
- The included setup.sh may install mcporter globally (npm install -g mcporter). That writes to system locations and may require elevated permissions; only run it if you trust the mcporter package and your environment. Prefer auditing the mcporter package (npm view mcporter, inspect its source) or installing it locally instead of globally.
- setup.sh will register the MCP endpoint (https://turing-mcp-server-test.turingsenseai.com/mcp) in mcporter and store the API Key/Secret as headers in the config. Ensure you trust that endpoint and that keys are scoped appropriately (use limited-scope credentials if possible).
- If you are uncomfortable running the script, follow the manual config steps in SKILL.md to add the MCP entry yourself rather than executing setup.sh.
- Because the skill lacked metadata for required env vars, double-check any CI/automation that might expose environment variables inadvertently before using this skill.
If you want higher assurance: ask the skill author for (1) explicit registry metadata listing required environment variables, (2) a non-global installation option for mcporter, and (3) confirmation of the MCP server ownership/Trust/Privacy policy. Running setup.sh in a sandbox or review the mcporter package first is recommended.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's name/description (product-image classification via turing-shikuan-mcp) matches the instructions and the setup script: it configures an MCP endpoint and then calls it to extract kind/brand/series/summary. This is coherent with the stated purpose. However, the skill expects API Key/Secret to be provided at runtime even though the registry metadata lists no required environment variables — a metadata omission that can mislead users.
Instruction Scope
SKILL.md stays within the claimed scope: it instructs checking MCP availability, prompting the user to provide an image URL, calling the MCP, and outputting only returned fields. It also instructs running setup.sh to register the MCP; the instructions do not request unrelated files or credentials beyond the API Key/Secret for the MCP. The SKILL.md explicitly warns not to perform authenticity/quality judgements, which is good.
Install Mechanism
There is no declared install spec, but the included setup.sh will run `npm install -g mcporter` if mcporter is missing. Installing a global npm package is a non-trivial side effect (writes to system locations, may require elevated permissions) and the skill did not declare this. The mcporter package is fetched from npm at runtime — moderate risk if you don't trust that package or the environment. The MCP endpoint itself is a third-party domain (turing-senseai test domain) which will be used for requests.
Credentials
SKILL.md and setup.sh require API credentials (TURING_SHIKUAN_API_KEY/TURING_SHIKUAN_API_SECRET or TURING_API_KEY/TURING_API_SECRET) and use them to register headers for the MCP. That is proportionate to calling the MCP, but the registry metadata advertised none — a mismatch that may cause users to accidentally expose secrets. No other unrelated secrets are requested.
Persistence & Privilege
The skill does not request always:true and does not alter other skills. The setup.sh modifies mcporter configuration (adding an MCP entry with headers) with scope 'project', which is expected for registering a tool. The notable privilege is the global npm install (possible system-wide change); otherwise there's no persistent elevated privilege requested.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install turingsenseai-classify-skill - After installation, invoke the skill by name or use
/turingsenseai-classify-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of turing-shikuan-demo for 商品图片识款
- Uses turing-shikuan-mcp to extract 品类(kind)、品牌(brand)、系列(series)、简要商品信息(summary) from product images.
- Guides user to configure MCP (API Key/Secret/environment variables) before use; provides both command line and manual JSON setup methods.
- Strictly does not provide 假鉴定/真假/正品/质量等判断 — skill is for classification only, not authentication.
- Requires a valid, accessible image URL as input; does not guess or supplement missing data.
- Always outputs results in a fixed, structured Chinese template; clearly indicates if any field is missing or unrecognized.
- Handles exceptions: prompts user if MCP is not configured, image URL is missing/unreachable, or if user requests authentication.
Metadata
Frequently Asked Questions
What is turingsenseai-classify-skill?
当用户希望识别商品图片中的品类、品牌、系列或简要商品信息时，优先调用已配置的 turing-shikuan-mcp，并按固定格式输出识款结果；支持首次配置指引，但不用于真假鉴定、真伪判断或质量判断。 It is an AI Agent Skill for Claude Code / OpenClaw, with 116 downloads so far.
How do I install turingsenseai-classify-skill?
Run "/install turingsenseai-classify-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is turingsenseai-classify-skill free?
Yes, turingsenseai-classify-skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does turingsenseai-classify-skill support?
turingsenseai-classify-skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created turingsenseai-classify-skill?
It is built and maintained by turingsenseai (@turingsenseai); the current version is v1.0.0.
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