AI-first pastebin
v1.0.2Use 呵.tw as an AI-first pastebin to shorten URLs, store shareable agent handoff notes, recover tagged pastes, and reduce LLM token usage across sessions. Tri...
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:
python3 skills/ai-first-pastebin/scripts/hotw.py <command> ...
Commands:
shorten <url> [--slug ...]create-paste --content ...orcreate-paste --stdinresolve <slug>meta <slug>chain <slug>find <tag> [--limit N]qr <slug> [--is-paste]
Preferred workflow
- If output is long and shareable, create a paste instead of pasting everything into chat.
- Add
--summaryand--tagwhen the paste may need to be found later. - Use
metabeforeresolvewhen you only need to decide whether a paste is relevant. - Use
chainfor multi-part handoff threads. - If the service returns
429, honorRetry-Afterand back off. - Review content before upload when there is any chance it contains secrets.
Good defaults
Shorten a long URL
python3 skills/ai-first-pastebin/scripts/hotw.py shorten 'https://example.com/very/long/url'
Store long shareable text from stdin
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
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
Version tags
latest
