Content Repurposer

This package mostly does what it says and stores its config under your home directory, but exercise caution before running it. Steps to consider: 1) Inspect and sanitize files: open SKILL.md and every script in a text editor that makes control characters visible (e.g., show invisibles) and remove any unexpected unicode-control characters. Remove or reword lines that ask the model to "think step-by-step" or "rate your confidence" (these induce chain-of-thought and can leak internal reasoning). 2) Check dependencies: confirm jq, html2text, iconv, curl, and any clawdbot tools come from trustworthy sources. html2text and similar utilities can be installed from official repositories. 3) Test in isolation: run the scripts in a sandbox or throwaway account first (not on sensitive content). The scripts can fetch remote URLs (curl or clawdbot web_fetch) — do not give private URLs or secrets to test runs. 4) Review config: the example config stores user.name, brand, and primary_cta; avoid putting API keys or secrets into config.json. The skill does not declare any credentials, but double-check before adding them. 5) Prefer removing mock/placeholder prompts and verify how real LLM calls are made: currently the scripts include MOCK_RESPONSE placeholders; when enabled to call the platform's LLM tool, ensure the 'clawdbot' tool (or other runner) is trusted and that you understand where data is sent. If you want, I can produce a cleaned version of the prompts that remove chain-of-thought instructions and flag invisible characters, or point out exact lines to edit.