Office Document Assistant
v0.1.1Read, extract, summarize, and compare office documents including PDF, Word, Excel, and PowerPoint. Use when a user provides .pdf/.doc/.docx/.xls/.xlsx/.ppt/....
⭐ 0· 182·0 current·0 all-time
byWinrunner_20@windrunner20
MIT-0
Download zip
LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included scripts and declared dependencies: the code extracts text from PDFs, DOCX, XLSX, PPTX and falls back to OCR or libreoffice for legacy formats. Required binaries and Python modules listed in SKILL.md are reasonable for this purpose.
Instruction Scope
SKILL.md instructs the agent to run the bundled Python extractor against user-supplied files and to prefer structured extraction then summarize. The runtime instructions only reference local files, local tools (pdftoppm, tesseract, libreoffice, antiword, catdoc), and the bundled scripts — no external network endpoints or unrelated system paths are referenced.
Install Mechanism
No install spec is provided (instruction-only plus bundled scripts). The scripts use standard system binaries and Python packages; nothing is downloaded from arbitrary URLs or written to unexpected locations.
Credentials
No environment variables, secrets, or external credentials are required. The script only checks for/uses local binaries and Python modules needed to perform extraction.
Persistence & Privilege
always is false and the skill does not attempt to modify agent configuration or persist credentials. It runs on-demand and has normal, limited local execution scope.
Assessment
This skill appears to do what it says: it runs bundled Python scripts that call local extraction libraries and optional system tools (pdftoppm, tesseract, libreoffice, antiword, catdoc). Before installing or enabling: (1) be aware it will execute local binaries named in PATH — on a compromised host an attacker could replace those binaries, so ensure the runtime environment is trusted; (2) install recommended Python packages and system tools if you need OCR/legacy-format support; (3) avoid providing password-protected/encrypted documents (the skill does not handle decryption); and (4) no credentials or network endpoints are requested by the skill itself. If you need network-based extraction or higher-fidelity layout analysis, consider a different tool.Like a lobster shell, security has layers — review code before you run it.
latestvk971rfweb5qn5hazf2wqmdmf4983tbnq
License
MIT-0
Free to use, modify, and redistribute. No attribution required.