Cloud claw launch agent
Skill internet-court/internet-court-skill/vendored/altlayer/cloud-claw-launch-agent
The trust layer for agent-to-agent commerce — natural-language mandates, ERC-7710 delegated permissions, x402 payments, escrow, and dispute resolution as one open, catch-all Agent Skill / Claude Code plugin.
npx -y skills add internet-court/internet-court-skill --skill cloud-claw-launch-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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Use this skill when the user wants to launch a new AltClaw, OpenClaw, PicoClaw, or Ottie deployment through Cloud Claw. Covers the same user-facing fields and constraints exposed in the Cloud Claw UI, using the local altllm cloud-claw-* commands. Do NOT use for post-launch lifecycle tasks like start/stop/delete/logs; use cloud-claw-manage-vm.
SKILL.md
1.7 KB, as published. Nobody here has run it
Launch Cloud Claw Agent
Use this skill for the new deployment workflow exposed in the Cloud Claw UI, via the local CLI commands in this repository.
The implementation source of truth is the sibling repository:
../cloud-claw
Shared Setup
Before using this skill, read:
../_shared/cloud-claw-preflight.md../_shared/cloud-claw-api-surface.md
Supported Agent Types
| Agent Type | Internal Value | User-facing Notes |
|---|---|---|
| OpenClaw | openclaw | paid-tier path, Telegram + web dashboard |
| PicoClaw | picoclaw | Telegram-only |
| Ottie | aintern | Telegram-only, self-evolving fork path |
Launch Rules
- Use
altllm cloud-claw-deploy. - Deployment
namemust match^[a-z0-9-]+$and max length 63. agentTypemust be one of:openclawpicoclawaintern
picoclawandainternrequireTELEGRAM_BOT_TOKEN.openclawusesOPENCLAW_MODEL.- UI-supported OpenClaw model choices are:
altllm/altllm-standardaltllm/altllm-mega
- The backend may inject an AltLLM API key automatically for the signed-in user.
- Launch success depends on quota, free-slot availability, active credits, and payment state.
Reference
See references/cli-reference.md for payload examples and expected responses.
Gives 0 of the 12 instructions most context ai engineering skills give
Counted across 1,193 of the 1,976 authors here whose files we hold, read 2026-08-06
- dispatch a fresh implementer subagent per taskin 48 of 1193, across 19 files
- dispatch final reviewer after all tasksin 37 of 1193, across 11 files
- provide full task text to the subagentin 31 of 1193, across 10 files
- review spec compliance before code qualityin 27 of 1193, across 10 files
- make the hook script executablein 26 of 1193, across 8 files
- re-snapshot after navigation or DOM changesin 25 of 1193, across 17 files
- answer subagent questions before proceedingin 22 of 1193, across 7 files
- mark task complete in TodoWrite after approvalin 22 of 1193, across 6 files
- merge hook into existing settingsin 21 of 1193, across 3 files
- read files before editing themin 21 of 1193, across 9 files
- ask if installation is global or projectin 20 of 1193, across 2 files
- copy the hook script to target locationin 20 of 1193, across 2 files
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.