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Install in OpenClaw
/install study-limitations-drafter
Description
Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Usage Guidance
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install study-limitations-drafter - After installation, invoke the skill by name or use
/study-limitations-drafter - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Study Limitations Drafter?
Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries. It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.
How do I install Study Limitations Drafter?
Run "/install study-limitations-drafter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Study Limitations Drafter free?
Yes, Study Limitations Drafter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Study Limitations Drafter support?
Study Limitations Drafter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Study Limitations Drafter?
It is built and maintained by AIpoch (@aipoch-ai); the current version is v1.0.0.
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