← 返回 Skills 市场
115
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install travel-skill-transfer-planner
功能描述
Helps plan skill development through travel
安全使用建议
This skill appears coherent and low-risk: it contains a small local handler that returns JSON and includes tests, and it does not request credentials or perform network I/O. Notes before installing: 1) SKILL.md emphasizes 'no code execution' but a local handler.py exists — inspect the handler if you want to confirm no unexpected behavior (the provided handler is benign). 2) Although the skill requests no secrets and has no install step, any skill that can be executed by your agent can run autonomously per platform defaults — review agent-level permissions if you are concerned about automatic invocation. 3) If you need absolute assurance, run the tests locally and review handler.py; otherwise this skill is proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: travel-skill-transfer-planner
Version: 1.0.0
The Travel Skill Transfer Planner is a purely descriptive skill that provides travel-related recommendations based on keyword matching. The code in handler.py is limited to basic string manipulation and JSON formatting, with no network requests, file system access, or external dependencies. The documentation in SKILL.md accurately reflects the code's behavior and includes appropriate safety disclaimers.
能力评估
Purpose & Capability
Name/description (travel skill transfer planning) align with the included files and behavior. The handler implements descriptive analysis and returns JSON; the declared metadata (skill.json) matches purpose. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md states 'no code execution, external APIs, or network requests'. The repository includes a handler.py (pure Python) and tests — the code is local and does not perform subprocess, network, or file reads beyond program input, so this is consistent in practice. Minor mismatch in phrasing: SKILL.md reads like an instruction-only skill, but a simple local handler implementation is present; this is low-risk but worth noting.
Install Mechanism
No install spec present (instruction-only / no external installer). There is no downloading or extracted archive, and no package installation instructions. Low installation risk.
Credentials
Requires no environment variables, credentials, or config paths. The handler does not access the environment or external services. The requested access is proportionate to the stated purpose.
Persistence & Privilege
always is false and there are no indications the skill attempts to modify other skills or system-wide settings. The skill has normal autonomous-invocation defaults but requests no elevated persistence or 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 travel-skill-transfer-planner - 安装完成后,直接呼叫该 Skill 的名称或使用
/travel-skill-transfer-planner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
Travel Skill Transfer Planner 1.0.0 – Initial Release
- Launches a descriptive skill to help travelers plan skill development and transfer through travel.
- Provides frameworks, templates, checklists, and heuristic analysis for skill gap analysis, development planning, transfer strategy, and integration into resume/life.
- Returns structured, actionable recommendations in JSON format; no code execution or external data access.
- Includes clear safety disclaimers and limitations for user guidance.
- Complete English documentation and unit tests for core functionality.
元数据
常见问题
Travel Skill Transfer Planner 是什么?
Helps plan skill development through travel. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 115 次。
如何安装 Travel Skill Transfer Planner?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install travel-skill-transfer-planner」即可一键安装,无需额外配置。
Travel Skill Transfer Planner 是免费的吗?
是的,Travel Skill Transfer Planner 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Travel Skill Transfer Planner 支持哪些平台?
Travel Skill Transfer Planner 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 Travel Skill Transfer Planner?
由 haidong(@harrylabsj)开发并维护,当前版本 v1.0.0。
推荐 Skills