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在 OpenClaw 中安装
/install study-limitations-drafter
功能描述
Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
安全使用建议
This skill appears coherent and low-risk, but take these precautions before use: (1) Inspect scripts/main.py yourself (it's short and readable) to confirm behavior. (2) Run python -m py_compile scripts/main.py and python scripts/main.py --help as recommended. (3) When writing outputs, avoid passing sensitive file paths—the script does not sanitize paths, so limit output to a safe workspace or run in a sandbox. (4) Use a controlled environment (container or VM) if you plan to process sensitive inputs. (5) If you need stricter controls, add path validation to the script (reject ../ or absolute paths) and pin Python package versions before deploying.
能力评估
Purpose & Capability
Name/description match the included assets: a short Python script (scripts/main.py) that generates limitation paragraphs. No unrelated binaries, credentials, or services are requested.
Instruction Scope
SKILL.md instructs running the packaged script and validating inputs (consistent). The script itself only reads a comma-separated --issues argument, prints output, and optionally writes a file. The documentation emphasizes input-path validation, but the script does not enforce path sanitization (e.g., ../ traversal protection) or validate output paths—this is a minor implementation gap to be aware of.
Install Mechanism
No install spec; instruction-only with a bundled script. No downloads or extracted archives. Risk from install mechanism is minimal.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code does not access external services or environment secrets.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills' config. It only writes an optional output file when invoked.
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 study-limitations-drafter - 安装完成后，直接呼叫该 Skill 的名称或使用
/study-limitations-drafter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 study-limitations-drafter skill for structured academic writing workflows.
- Generates professional limitation statements with explicit assumptions and bounded outputs.
- Supports scope-focused execution, reproducible output, and fallback/error handling paths for missing or incomplete inputs.
- Provides security checklist, risk assessment, and detailed workflow documentation.
- No additional Python dependencies required; works with Python 3.10+.
- Includes audit-ready commands, example usage, response templates, and clear parameters for easy integration into academic writing processes.
元数据
常见问题
Study Limitations Drafter 是什么？
Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 106 次。
如何安装 Study Limitations Drafter？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install study-limitations-drafter」即可一键安装，无需额外配置。
Study Limitations Drafter 是免费的吗？
是的，Study Limitations Drafter 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Study Limitations Drafter 支持哪些平台？
Study Limitations Drafter 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 Study Limitations Drafter？
由 AIpoch（@aipoch-ai）开发并维护，当前版本 v1.0.0。
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