ClawHub

File Converter

v1.0.0

This skill provides comprehensive file format conversion capabilities. It should be used when users need to convert files between different formats, includin...

⭐ 0· 6·0 current·0 all-time
by@besteva77
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
✓
Purpose & Capability
Name/description (file conversions) match the included scripts (PDF↔Word, Word→PDF, image conversions, Excel↔CSV). Required capabilities are local file I/O and the Python imaging/office libraries listed in SKILL.md — nothing extraneous (no cloud/API credentials or unrelated system access) is requested.
✓
Instruction Scope
SKILL.md instructs the agent/user to run the included Python scripts and to check/install specific Python packages. The instructions focus on processing user-supplied files and reporting results; they do not direct the agent to read unrelated system files, environment variables, or to transmit data off the machine.
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Install Mechanism
There is no formal install spec (instruction-only), but the skill bundle contains executable Python scripts that will run locally. SKILL.md asks the user to pip-install dependencies; this is typical but means code execution depends on locally installed packages. No external downloads or obscure install URLs are used.
✓
Credentials
The skill declares no required environment variables or credentials. The scripts operate on local files and attempt only to detect local MS Word installations (Windows) for docx->PDF conversion; this is proportionate to the stated functionality.
✓
Persistence & Privilege
always is false and the skill does not request persistent/system-wide privileges or attempt to modify other skills. Autonomous invocation is allowed (platform default) but not combined with any broad credential access.
Assessment
This skill appears coherent and performs local file conversions using the bundled Python scripts. Before running: (1) review the provided scripts if you can (they operate on local files and do not call the network), (2) be prepared to pip-install the listed Python packages (Pillow, pdf2docx, docx2pdf, openpyxl, xlrd), and (3) run conversions on non-sensitive sample files first — note some minor bugs/typos exist in the code which may cause errors, so consider running inside a sandbox or virtual environment and back up important files before batch operations.

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

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