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WeChat Mini Program Builder
作者
yang1002378395-cmyk
· GitHub ↗
· v1.0.0
· MIT-0
362
总下载
1
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install wechat-mini-program-builder
功能描述
AI-assisted tool to quickly build WeChat Mini Programs with templates, auto-generated code, cloud functions, and deployment support.
安全使用建议
This skill shows multiple inconsistencies: the user-facing instructions talk about a Node CLI, but the included code is a Python script that will call an external OpenClaw API and requires an OPENCLAW_API_KEY that is not documented. Before installing or running: 1) Ask the publisher for the canonical source/repo and clarification (is the tool Node or Python?). 2) Do not supply any API keys until you confirm why they are needed and whether the key will be limited/scoped. 3) Inspect the code locally (mp_builder.py) or run it in an isolated environment (VM/container) to observe network calls; verify the 'openclaw' client origin. 4) Prefer installing only from a trusted registry or the project's official repo; avoid running unknown global npm packages. If you need this functionality, request an updated SKILL.md that documents required credentials, dependency installation steps, and the exact remote endpoints used.
功能分析
Type: OpenClaw Skill
Name: wechat-mini-program-builder
Version: 1.0.0
The skill bundle provides a legitimate scaffolding tool for WeChat Mini Program development. The Python script (mp_builder.py) implements basic project creation, cloud function templating, and AI-assisted page generation using the OpenClaw API. The documentation (SKILL.md) is well-structured and aligns with the code's functionality, although it includes a commercial pricing table and references an external npm package (miniprogram-cli) which is consistent with the WeChat developer ecosystem. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
The SKILL.md describes an npm-based CLI (miniprogram-cli / mp-builder) and gives Node-centric usage, but the bundle includes a Python tool (mp_builder.py) that implements the described features. The Python code requires an OPENCLAW_API_KEY environment variable (and imports an OpenClaw client) even though the skill metadata lists no required env vars or primary credential. These mismatches are disproportionate to the stated purpose and unclear to a user.
Instruction Scope
SKILL.md instructs installing a Node CLI and running mp-builder commands; it does not mention setting an API key or contacting any external LLM/service. The Python code, however, sends prompts to an external OpenClaw chat API to generate page code and will fail or raise an exception if OPENCLAW_API_KEY is not set. The code also writes generated content and cloudfunction templates to disk (pages/, cloudfunctions/). The instructions therefore omit that the tool will call an external model and require credentials.
Install Mechanism
There is no declared install spec (instruction-only), but SKILL.md suggests installing a global npm package. The included implementation is Python and imports an 'openclaw' package without declaring how to install it. This mismatch creates uncertainty about what actually needs to be installed and from where — increasing risk because dependencies and provenance are unclear.
Credentials
The Python code requires a sensitive environment variable OPENCLAW_API_KEY and will abort if it's missing, yet the skill metadata declares no required env vars and SKILL.md does not instruct users to provide this key. Requiring an API key for an external model is plausible for AI code generation, but the omission in metadata and docs is a red flag: users could accidentally supply a general/privileged key without understanding why. No other credentials are requested, but this single undeclared secret request is disproportionate and undocumented.
Persistence & Privilege
The skill does not request always:true and is user-invocable only; it does not modify other skills or system-wide settings. It writes project files to the current directory (normal for a project generator) but requests no elevated/system-level privileges.
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 wechat-mini-program-builder - 安装完成后,直接呼叫该 Skill 的名称或使用
/wechat-mini-program-builder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
v1.0.0
Initial release of WeChat Mini Program Builder.
- Provides AI-assisted WeChat mini program development, reducing time from idea to launch to just 3 days.
- Includes 10+ project templates for common scenarios (e-commerce, restaurant, booking, showcase, etc.).
- Features AI code generator for automatic page and component creation based on user prompts.
- Offers templates for cloud functions such as login, payment, and order processing.
- Step-by-step deployment guide included.
- Available in three tiers: Basic, Pro, and Enterprise, with different features and pricing.
元数据
常见问题
WeChat Mini Program Builder 是什么?
AI-assisted tool to quickly build WeChat Mini Programs with templates, auto-generated code, cloud functions, and deployment support. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 362 次。
如何安装 WeChat Mini Program Builder?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install wechat-mini-program-builder」即可一键安装,无需额外配置。
WeChat Mini Program Builder 是免费的吗?
是的,WeChat Mini Program Builder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
WeChat Mini Program Builder 支持哪些平台?
WeChat Mini Program Builder 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 WeChat Mini Program Builder?
由 yang1002378395-cmyk(@yang1002378395-cmyk)开发并维护,当前版本 v1.0.0。
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