← ClaudeAtlas

codeclawlisted

Export Claude Code and Codex conversation history to Hugging Face as structured training data. Use when the user asks about exporting conversations, uploading to Hugging Face, configuring codeclaw, reviewing PII/secrets in exports, or managing their dataset.
CuddlyPaws22/codeclaw · ★ 0 · AI & Automation · score 75
Install: claude install-skill CuddlyPaws22/codeclaw
<!-- codeclaw-begin --> # codeclaw Skill ## THE RULE **Every `codeclaw` command outputs `next_steps`. FOLLOW THEM.** Do not memorize the flow. Do not skip steps. Do not improvise. Run the command -> read the output -> follow `next_steps`. That's it. The CLI tracks your stage (1-4: auth -> configure -> review -> done). `codeclaw export` (push) is **gated** -- you must run `codeclaw confirm` first or it will refuse. ## Getting Started Run `codeclaw status` (or `codeclaw prep` for full details) and follow the `next_steps`. ## Output Format - `codeclaw prep`, `codeclaw config`, `codeclaw status`, and `codeclaw confirm` output pure JSON - `codeclaw export` outputs human-readable text followed by `---CODECLAW_JSON---` and a JSON block - Always parse the JSON and act on `next_steps` Key fields: - `stage` / `stage_number` / `total_stages` -- where you are - `next_steps` -- follow these in order - `next_command` -- the single most important command to run next (null if user input needed first) ## PII Audit (Stage 3) After `codeclaw export --no-push`, follow the `next_steps` in the JSON output. The flow is: 1. **Ask the user their full name** -- then grep the export for it 2. **Run the pii_commands** from the JSON output and review results with the user 3. **Ask the user what else to look for** -- company names, client names, private URLs, other people's names, custom domains 4. **Deep manual scan** -- sample ~20 sessions (beginning, middle, end) and look for anything sens