lobster
Cat executes multi-step workflows with approval checkpoints. Use it when: - User wants a repeatable automation (triage, monitor, sync) - Actions need human approval before executing (send, post, delete) - Multiple tool calls should run as one deterministic operation
Install / Use
npx skills add Flexasaurusrex/OpenPawInstalls into whichever agent you are using.
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Cat executes multi-step workflows with approval checkpoints. Use it when:
- User wants a repeatable automation (triage, monitor, sync)
- Actions need human approval before executing (send, post, delete)
- Multiple tool calls should run as one deterministic operation
When to use Cat
| User intent | Use Cat? | | ------------------------------------------------------ | --------------------------------------------- | | "Triage my email" | Yes — multi-step, may send replies | | "Send a message" | No — single action, use message tool directly | | "Check my email every morning and ask before replying" | Yes — scheduled workflow with approval | | "What's the weather?" | No — simple query | | "Monitor this PR and notify me of changes" | Yes — stateful, recurring |
Basic usage
Run a pipeline
{
"action": "run",
"pipeline": "gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage"
}
Returns structured result:
{
"protocolVersion": 1,
"ok": true,
"status": "ok",
"output": [{ "summary": {...}, "items": [...] }],
"requiresApproval": null
}
Handle approval
If the workflow needs approval:
{
"status": "needs_approval",
"output": [],
"requiresApproval": {
"prompt": "Send 3 draft replies?",
"items": [...],
"resumeToken": "..."
}
}
Present the prompt to the user. If they approve:
{
"action": "resume",
"token": "<resumeToken>",
"approve": true
}
Example workflows
Email triage
gog.gmail.search --query 'newer_than:1d' --max 20 | email.triage
Fetches recent emails, classifies into buckets (needs_reply, needs_action, fyi).
Email triage with approval gate
gog.gmail.search --query 'newer_than:1d' | email.triage | approve --prompt 'Process these?'
Same as above, but halts for approval before returning.
Key behaviors
- Deterministic: Same input → same output (no LLM variance in pipeline execution)
- Approval gates:
approvecommand halts execution, returns token - Resumable: Use
resumeaction with token to continue - Structured output: Always returns JSON envelope with
protocolVersion
Don't use Cat for
- Simple single-action requests (just use the tool directly)
- Queries that need LLM interpretation mid-flow
- One-off tasks that won't be repeated
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Audited on Mar 5, 2026
