Response Tone Polisher

Polishes response letters by transforming defensive or harsh language.

This package appears to be a straightforward, local Python tool for softening defensive language. Before running it, (1) inspect scripts/main.py yourself (or run python -m py_compile scripts/main.py) to verify there are no unexpected network calls or shell execution, (2) run it on non‑sensitive sample text first, and (3) execute it in a sandbox or isolated environment if you have any doubt. If you plan to integrate it into an automated agent, confirm the agent will not send sensitive reviewer text to external services (the packaged code does not appear to do so).

Type: OpenClaw Skill Name: response-tone-polisher-1 Version: 1.0.0 The skill bundle is a legitimate utility designed to polish academic response letters by transforming defensive language into professional prose. The core logic in `scripts/main.py` uses standard regular expressions and a predefined library of polite expressions (`references/polite_expressions.json`) to perform text replacements. There is no evidence of data exfiltration, network activity, or malicious execution; file system access is limited to reading inputs and writing the polished output as described in `SKILL.md`. While the security checklist in the documentation claims path validation that isn't explicitly implemented in the Python code, this appears to be a minor documentation oversight rather than an intentional vulnerability or malicious backdoor.