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hgta23

智能代码助手

by bittao · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
101
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Install in OpenClaw
/install s
Description
智能理解和精准诊断代码,提供修复、重构建议及自动生成文档,提升代码质量与维护效率。
Usage Guidance
This package is not obviously malicious — it neither asks for credentials nor installs external code — but it overpromises. The code shipped is a collection of stubs that return static text; it does not implement the advanced AST/data-flow/project analysis described in SKILL.md. Before installing or relying on it: 1) verify the claimed repository (skill.json points to a GitHub URL but the source/homepage in the registry is unclear); 2) treat the skill as untrusted for sensitive code — don’t provide secrets or private repo credentials; 3) if you need the advertised deep-analysis features, request evidence (tests, implementation, or a real parser) or prefer a skill with verifiable source; 4) watch for future versions that add filesystem or network access (e.g., analyze_architecture(project_path)) and re-evaluate permissions then. If you plan to let agents call this autonomously, prefer a sandboxed environment until you confirm its real behavior.
Capability Analysis
Type: OpenClaw Skill Name: s Version: 1.0.0 The skill bundle describes a standard AI-powered code assistant for tasks like bug diagnosis, refactoring, and documentation generation. The Python code in main.py contains placeholder logic, while the actual functionality is driven by well-structured prompts in the prompts/ directory; no malicious behaviors, data exfiltration, or suspicious execution patterns were found.
Capability Assessment
Purpose & Capability
Name/description (智能代码助手) match the provided prompts and skill.json features. However, the skill promises deep capabilities (AST analysis, data-flow, architecture analysis, continuous learning) but the included runtime code (main.py) contains only simple stub methods that return static strings and perform no actual parsing, file I/O, or network work. Also metadata is inconsistent: top-level 'Homepage: none' / 'Source: unknown' vs skill.json claiming a GitHub repo URL. This is an overstated capability / provenance mismatch.
Instruction Scope
SKILL.md and prompt files instruct the agent to analyze 'provided code' and list checks to perform; they do not instruct reading arbitrary system files or environment variables. One function signature (analyze_architecture(project_path)) implies analyzing a project path, but the current implementation is a stub that does not access the filesystem. The result: instructions appear scoped to user-provided code, but the skill's marketing claims broader project-level analysis that would require filesystem access which is not implemented here. This discrepancy is scope/expectation drift rather than an explicit data-exfiltration instruction.
Install Mechanism
No install spec — instruction-only with a small code file. No downloads, no third-party installers, and nothing is written to disk by an installer. Low install risk.
Credentials
Skill requests no environment variables, credentials, or config paths. That is consistent with its current implementation which doesn't perform network calls or require external services.
Persistence & Privilege
always is false and the skill is user-invocable. There is no indication the skill requests persistent/system-wide changes or elevated privileges. Autonomous invocation is allowed by default but not flagged on its own.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install s
  3. After installation, invoke the skill by name or use /s
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
s-skill 1.0.0 – Initial release - 智能解析代码,支持复杂算法解释、设计模式识别与流程图生成 - 自动检测Bug,分析错误根因并提出修复与预防建议 - 提供代码重构、高性能优化及可维护性提升的智能方案 - 支持快速生成函数文档、API说明及使用示例 - 具备AST解析、类型推断、上下文感知等深度理解能力 - 输出具体可执行的建议和代码示例,响应专业便捷
Metadata
Slug s
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 智能代码助手?

智能理解和精准诊断代码,提供修复、重构建议及自动生成文档,提升代码质量与维护效率。 It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.

How do I install 智能代码助手?

Run "/install s" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 智能代码助手 free?

Yes, 智能代码助手 is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 智能代码助手 support?

智能代码助手 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 智能代码助手?

It is built and maintained by bittao (@hgta23); the current version is v1.0.0.

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