ClawHub

Premium PDF

v1.0.0

Generate premium enterprise-style PDFs from markdown content, with automatic de-AI text humanization (removes em dashes, AI filler phrases, overly formal lan...

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bybulldozzer@andreasozzo
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
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Benign
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OpenClawOpenClaw
Benign
medium confidence
✓
Purpose & Capability
Name/description (premium PDF from markdown with de-AI text processing) aligns with requirements and included files: a Python script plus standard PDF/graphics libraries. Requiring python3 and advising reportlab/Pillow is proportionate to the stated purpose.
✓
Instruction Scope
SKILL.md instructs the agent to run the local Python script, install dependencies via pip, and provide input/output paths (and optional logo). It does not instruct reading unrelated files, transmitting data to remote endpoints, or accessing environment variables beyond normal local file I/O. No vague 'gather whatever context you need' directives are present.
✓
Install Mechanism
There is no install spec; this is instruction-only with a bundled generate_pdf.py and a small requirements.txt recommending reportlab and Pillow (both standard). No downloads from untrusted URLs or archive extraction steps are present in the repository metadata or SKILL.md.
✓
Credentials
The skill requires no environment variables or credentials. Its functionality (processing input markdown and writing a PDF file) doesn't justify any secret or cloud credentials, and none are requested.
✓
Persistence & Privilege
always is false and the skill is user-invocable. It does not request or declare any system-level persistence or modifications to other skills or agent-wide settings.
Assessment
What to consider before installing: 1) This package appears coherent and runs locally: it reads markdown (string or file), optionally a logo file, applies local text transforms, and writes a PDF. 2) You need Python 3 and the reportlab/Pillow Python packages; install them inside a virtualenv to avoid affecting system packages. 3) The provided generate_pdf.py in the submission was truncated; to be fully confident, review the complete script for any hidden network calls, eval/exec usage, subprocess invocations, or code that reads unexpected system files. 4) Run the script on non-sensitive sample data first and verify output. 5) The README mentions optional 'clawhub' installation (npm) — that is separate tooling and not required for the script to work. If you want higher confidence, provide the full generate_pdf.py source so it can be fully inspected; absence of concerning patterns in the visible portion is promising but not definitive.

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.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

OSmacOS · Linux
Binspython3

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