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hanyilong

hanyilong first skill

作者 hanyilong · GitHub ↗ · v1.0.0
cross-platform ✓ 安全检测通过
372
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install hanyilong-first-skill
功能描述
this is my hello world skill
使用说明 (SKILL.md)

\r \r

My Skill\r

\r

Overview\r

\r [TODO: 1-2 sentences explaining what this skill enables]\r \r

Structuring This Skill\r

\r [TODO: Choose the structure that best fits this skill's purpose. Common patterns:\r \r 1. Workflow-Based (best for sequential processes)\r

  • Works well when there are clear step-by-step procedures\r
  • Example: DOCX skill with "Workflow Decision Tree" -> "Reading" -> "Creating" -> "Editing"\r
  • Structure: ## Overview -> ## Workflow Decision Tree -> ## Step 1 -> ## Step 2...\r \r 2. Task-Based (best for tool collections)\r
  • Works well when the skill offers different operations/capabilities\r
  • Example: PDF skill with "Quick Start" -> "Merge PDFs" -> "Split PDFs" -> "Extract Text"\r
  • Structure: ## Overview -> ## Quick Start -> ## Task Category 1 -> ## Task Category 2...\r \r 3. Reference/Guidelines (best for standards or specifications)\r
  • Works well for brand guidelines, coding standards, or requirements\r
  • Example: Brand styling with "Brand Guidelines" -> "Colors" -> "Typography" -> "Features"\r
  • Structure: ## Overview -> ## Guidelines -> ## Specifications -> ## Usage...\r \r 4. Capabilities-Based (best for integrated systems)\r
  • Works well when the skill provides multiple interrelated features\r
  • Example: Product Management with "Core Capabilities" -> numbered capability list\r
  • Structure: ## Overview -> ## Core Capabilities -> ### 1. Feature -> ### 2. Feature...\r \r Patterns can be mixed and matched as needed. Most skills combine patterns (e.g., start with task-based, add workflow for complex operations).\r \r Delete this entire "Structuring This Skill" section when done - it's just guidance.]\r \r

[TODO: Replace with the first main section based on chosen structure]\r

\r [TODO: Add content here. See examples in existing skills:\r

  • Code samples for technical skills\r
  • Decision trees for complex workflows\r
  • Concrete examples with realistic user requests\r
  • References to scripts/templates/references as needed]\r \r

Resources (optional)\r

\r Create only the resource directories this skill actually needs. Delete this section if no resources are required.\r \r

scripts/\r

Executable code (Python/Bash/etc.) that can be run directly to perform specific operations.\r \r Examples from other skills:\r

  • PDF skill: fill_fillable_fields.py, extract_form_field_info.py - utilities for PDF manipulation\r
  • DOCX skill: document.py, utilities.py - Python modules for document processing\r \r Appropriate for: Python scripts, shell scripts, or any executable code that performs automation, data processing, or specific operations.\r \r Note: Scripts may be executed without loading into context, but can still be read by Codex for patching or environment adjustments.\r \r

references/\r

Documentation and reference material intended to be loaded into context to inform Codex's process and thinking.\r \r Examples from other skills:\r

  • Product management: communication.md, context_building.md - detailed workflow guides\r
  • BigQuery: API reference documentation and query examples\r
  • Finance: Schema documentation, company policies\r \r Appropriate for: In-depth documentation, API references, database schemas, comprehensive guides, or any detailed information that Codex should reference while working.\r \r

assets/\r

Files not intended to be loaded into context, but rather used within the output Codex produces.\r \r Examples from other skills:\r

  • Brand styling: PowerPoint template files (.pptx), logo files\r
  • Frontend builder: HTML/React boilerplate project directories\r
  • Typography: Font files (.ttf, .woff2)\r \r Appropriate for: Templates, boilerplate code, document templates, images, icons, fonts, or any files meant to be copied or used in the final output.\r \r ---\r \r Not every skill requires all three types of resources.\r
安全使用建议
This skill is essentially a template/hello-world and appears safe: it contains only explanatory text and a tiny Python script that prints a message. Before installing or running it, consider: (1) the SKILL.md is incomplete — the author needs to add concrete behavior; (2) if you plan to run the included script, inspect it yourself (it currently only prints a message); (3) if the skill is later expanded, re-check for network calls, credential requests, or downloads. Because it requests no credentials and has no install steps, risk is low, but always review any code before executing it in your environment.
功能分析
Type: OpenClaw Skill Name: hanyilong-first-skill Version: 1.0.0 The skill bundle consists of standard metadata, a `SKILL.md` template filled with `[TODO]` placeholders and guidance for skill development, and a placeholder Python script (`scripts/example.py`) that simply prints a message. There is no active code that performs any harmful actions, no attempts at prompt injection against the AI agent, and no indicators of data exfiltration, malicious execution, or persistence mechanisms. All content is boilerplate and instructional, aligning with a 'hello world' skill template.
能力评估
Purpose & Capability
Name/description say 'hello world' and the bundle contains only a template SKILL.md and a trivial example Python script that prints a message — the requested resources match the stated purpose.
Instruction Scope
SKILL.md is a generic template with TODOs and does not instruct the agent to read files, access credentials, or call external endpoints. It is incomplete (no concrete runtime steps), which is not a security problem but means the skill currently does nothing useful until filled in.
Install Mechanism
No install spec is provided (instruction-only plus a small script). Nothing will be downloaded or written during installation.
Credentials
The skill declares no required environment variables, credentials, or config paths — proportional for a template/hello-world skill.
Persistence & Privilege
Skill does not request persistent or elevated privileges (always is false). Model invocation is allowed by default, which is normal for skills and acceptable here given the minimal scope.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install hanyilong-first-skill
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /hanyilong-first-skill 触发
  4. 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 hanyilongskill version 1.0.0. - Added a starter SKILL.md including placeholders and guidance for skill structure and organization. - Outlines common structuring patterns and resource directory recommendations for future development. - No functional implementation yet; content is primarily documentation and setup instructions.
元数据
Slug hanyilong-first-skill
版本 1.0.0
许可证
累计安装 2
当前安装数 2
历史版本数 1
常见问题

hanyilong first skill 是什么?

this is my hello world skill. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 372 次。

如何安装 hanyilong first skill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install hanyilong-first-skill」即可一键安装,无需额外配置。

hanyilong first skill 是免费的吗?

是的,hanyilong first skill 完全免费(开源免费),可自由下载、安装和使用。

hanyilong first skill 支持哪些平台?

hanyilong first skill 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 hanyilong first skill?

由 hanyilong(@hanyilong)开发并维护,当前版本 v1.0.0。

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