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model-platform-guide
by
huixiaheyu
· GitHub ↗
· v1.0.0
· MIT-0
113
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Install in OpenClaw
/install model-platform-guide
Description
查询主流大模型开放平台的 API 文档入口与精简调用要点，适用于月之暗面 Kimi、阿里云百炼、硅基流动、DeepSeek、OpenRouter 等平台。用于回答鉴权方式、base URL、OpenAI 兼容调用、聊天补全、模型名、常见差异、多平台对比与文档入口。当用户提到 Kimi、Moonshot、百炼、Da...
Usage Guidance
This skill is a local collection of concise references and call examples and appears coherent with its described purpose. Things to consider before installing: (1) The agent may perform live web checks of the official docs when you ask about up-to-date model capabilities — if you care about privacy/networking, be aware of that behavior. (2) The included files show example environment variable names and code snippets; the skill itself does not require or collect keys, but you should never paste actual secret keys into chat or into code examples when using the skill. (3) Validate any official URLs returned by the skill before using them, and prefer copying examples into a secure environment (your own code) rather than executing unreviewed snippets. If you want greater assurance, ask the publisher for provenance of the references or review a few of the referenced URLs manually to confirm they point to the expected official documentation.
Capability Analysis
Type: OpenClaw Skill
Name: model-platform-guide
Version: 1.0.0
The skill bundle is a comprehensive documentation assistant designed to help users integrate various LLM platform APIs (e.g., DeepSeek, Aliyun, Moonshot). It contains structured reference files with official documentation links, API base URLs, and standard code templates for Python, Node.js, and curl. The instructions in SKILL.md and live-check-policy.md emphasize accuracy by directing the agent to verify high-frequency changes against official sources rather than relying solely on static local data, and no malicious behaviors such as data exfiltration or unauthorized execution were found.
Capability Tags
Capability Assessment
Purpose & Capability
Skill name/description match the shipped artifacts: it contains concise reference files, migration recipes, curl/Python/Node examples and an index of official doc URLs for the listed platforms. There are no unrelated binaries, installs, or environment variables required by the skill itself.
Instruction Scope
The SKILL.md explicitly limits itself to: reading its own references/* files, returning links and short examples, and performing 'dynamic verification' by visiting official docs when needed. Those actions are appropriate for a documentation/navigation skill. The instructions do not tell the agent to read arbitrary system files, secrets, or unrelated config paths. Note: dynamic verification implies the agent may fetch external documentation pages at runtime — this is expected behavior for live checks.
Install Mechanism
No install spec and no code files that would be written/executed. Instruction-only skills are lowest risk from an install perspective.
Credentials
The reference files include example environment variable names (e.g., MOONSHOT_API_KEY, DASHSCOPE_API_KEY) solely as usage examples for calling remote APIs. The skill does not declare any required env vars or request credentials. There is no disproportionate credential access.
Persistence & Privilege
always:false and no special privileges are requested. The skill does not attempt to persist configuration outside its own references or alter other skills. Autonomous invocation is allowed (platform default) but not combined with other red flags here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install model-platform-guide - After installation, invoke the skill by name or use
/model-platform-guide - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of model-platform-guide.
- Supports quick lookup of API docs and usage highlights for major model platforms (Kimi, DashScope, SiliconFlow, DeepSeek, OpenRouter, etc.).
- Provides official doc links, authentication, base URLs, and minimal usage examples for each platform.
- Enables multi-platform comparison and OpenAI API compatibility guidance.
- Offers ready-made code templates (Python, Node.js, curl) and OpenAI migration tips.
- Follows a concise, link-first approach to keep info current and avoid outdated content.
- Includes dynamic verification policy for high-change features and capability checks.
Metadata
Frequently Asked Questions
What is model-platform-guide?
查询主流大模型开放平台的 API 文档入口与精简调用要点，适用于月之暗面 Kimi、阿里云百炼、硅基流动、DeepSeek、OpenRouter 等平台。用于回答鉴权方式、base URL、OpenAI 兼容调用、聊天补全、模型名、常见差异、多平台对比与文档入口。当用户提到 Kimi、Moonshot、百炼、Da... It is an AI Agent Skill for Claude Code / OpenClaw, with 113 downloads so far.
How do I install model-platform-guide?
Run "/install model-platform-guide" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is model-platform-guide free?
Yes, model-platform-guide is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does model-platform-guide support?
model-platform-guide is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created model-platform-guide?
It is built and maintained by huixiaheyu (@huixiaheyu); the current version is v1.0.0.
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