Study Limitations Drafter
v1.0.0Use study limitations drafter for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
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byAIpoch@aipoch-ai
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.