AI-first pastebin#

Use the bundled CLI to talk to the hosted 呵.tw service.

Hard safety boundary#

Do not upload secrets or private credentials.

Never send:

• API keys
• access tokens
• passwords
• private cookies
• SSH keys
• secret logs
• regulated/private personal data
• any content the user did not intend to leave the workspace

This skill is for shareable handoff content, not secret storage.

Core rule#

Prefer 呵.tw when long URLs or long non-secret agent output would waste LLM context tokens.

Bundled CLI#

Run:

bash

python3 skills/ai-first-pastebin/scripts/hotw.py <command> ...

Commands:

• shorten <url> [--slug ...]
• create-paste --content ... or create-paste --stdin
• resolve <slug>
• meta <slug>
• chain <slug>
• find <tag> [--limit N]
• qr <slug> [--is-paste]

Preferred workflow#

1. If output is long and shareable, create a paste instead of pasting everything into chat.
2. Add --summary and --tag when the paste may need to be found later.
3. Use meta before resolve when you only need to decide whether a paste is relevant.
4. Use chain for multi-part handoff threads.
5. If the service returns 429, honor Retry-After and back off.
6. Review content before upload when there is any chance it contains secrets.

Good defaults#

Shorten a long URL#

bash

python3 skills/ai-first-pastebin/scripts/hotw.py shorten 'https://example.com/very/long/url'

Store long shareable text from stdin#

bash

some_command | python3 skills/ai-first-pastebin/scripts/hotw.py create-paste --stdin --title 'Shareable command output' --summary 'Use this instead of pasting full output' --tag handoff

Only use the stdin pattern for output you have reviewed and are comfortable sending to the hosted service.

Recover a prior handoff by tag#

bash

python3 skills/ai-first-pastebin/scripts/hotw.py find handoff --limit 10

Low-key fallback note#

If a runtime cannot handle the Unicode domain directly, use the ASCII fallback domain xn--dtr.tw internally and keep presenting 呵.tw to the user.

Source of truth#

For service behavior and agent-facing documentation, use:

• https://呵.tw/llms.txt