Clawhub Production Release logo

Clawhub Production Release

OrganizationPopular
openclaw
clawhub-production-release

Run and verify ClawHub production deploys and stable ClawHub CLI npm releases. Use when deploying backend or frontend changes to clawhub.ai, dispatching the Deploy workflow, publishing a stable CLI tag, checking release prerequisites, or proving the exact production SHA and workflow outcome.

Overview

Publisheropenclaw
Repositoryclawhub
Skill nameclawhub-production-release
Stars
9.5K
Forks
1.5K
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by openclaw on GitHub. Read the source before you install it.

Installation

Install the Clawhub Production Release AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/openclaw/clawhub/tree/main/.agents/skills/clawhub-production-release
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/openclaw/clawhub.git /tmp/clawhub
mkdir -p .claude/skills
cp -r /tmp/clawhub/.agents/skills/clawhub-production-release .claude/skills/clawhub-production-release
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Clawhub Production Release in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Clawhub Production Release on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Clawhub Production Release is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

ClawHub Production Release

ClawHub production changes are manual-only. Merging to main does not deploy the app or publish the CLI.

Safety Rules

  • Run production workflows from main.
  • Re-read the workflow and exact main SHA immediately before dispatch.
  • Require a successful Deploy Test workflow for that exact SHA before dispatching an app production deploy. This is an operator check until the production workflow enforces the gate directly.
  • Do not treat a green workflow alone as proof. Record the workflow URL, exact deployed SHA, and live-surface verification.
  • Do not add one-off migrations or repairs to the deploy workflow. Run operator-controlled data changes separately with clawhub-convex and create-and-cleanup-migration.
  • Never start a production deploy or npm publish unless the user explicitly asked for that release action.

App Production Deploy

The workflow is .github/workflows/deploy.yml.

  1. Confirm the selected commit is on origin/main and record its SHA.
  2. Find the successful Test deployment for that exact SHA and record its URL:
bash
gh run list \
  --repo openclaw/clawhub \
  --workflow deploy-test.yml \
  --branch main \
  --commit <MAIN_SHA> \
  --status success \
  --limit 1

If no successful exact-SHA Test run exists, stop and fix or rerun Test before releasing production.

  1. Run the required pre-merge or release validation for the changed surface.
  2. Dispatch one target:
bash
gh workflow run deploy.yml \
  --repo openclaw/clawhub \
  --ref main \
  -f target=full \
  -f allow_deleting_large_indexes=false

Choose full, backend, or frontend:

  • full: deploy Convex, wait for the matching Vercel production deployment, and run production smoke checks.
  • backend: deploy Convex and run production HTTP smoke checks.
  • frontend: wait for Vercel's production deployment for the selected main SHA, then run HTTP and UI smoke checks. The workflow does not call vercel deploy.

Set allow_deleting_large_indexes=true only after reviewing the Convex index deletion and explicitly accepting it.

  1. Capture the workflow run URL and wait for completion.
  2. Verify the run used the expected SHA.
  3. Verify the affected live route, API, or backend contract on https://clawhub.ai.
  4. Report the Test workflow URL, production workflow URL, deployed SHA, target, and live proof.

The workflow uses the GitHub Production environment. Backend deploys require the environment secret CONVEX_DEPLOY_KEY. The optional PLAYWRIGHT_AUTH_STORAGE_STATE_JSON enables authenticated UI smoke coverage.

Stable CLI npm Release

The workflow is .github/workflows/clawhub-cli-npm-release.yml. Stable tags must use vX.Y.Z.

  1. Confirm the tag points to the intended commit on main.
  2. Dispatch validation-only preflight:
bash
gh workflow run clawhub-cli-npm-release.yml \
  --repo openclaw/clawhub \
  --ref main \
  -f tag=vX.Y.Z \
  -f preflight_only=true
  1. Wait for success and record the preflight run ID and URL.
  2. Promote that exact artifact in the real publish:
bash
gh workflow run clawhub-cli-npm-release.yml \
  --repo openclaw/clawhub \
  --ref main \
  -f tag=vX.Y.Z \
  -f preflight_only=false \
  -f preflight_run_id=<RUN_ID>
  1. Wait for the npm-release environment job and verify the published version from npm.
  2. Report the preflight URL, publish URL, tag, release SHA, and published version.

Real publishes use npm trusted publishing through the npm-release GitHub environment. The trusted publisher must match repository openclaw/clawhub, workflow clawhub-cli-npm-release.yml, and environment npm-release.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Clawhub Production Release AI skill do?

Run and verify ClawHub production deploys and stable ClawHub CLI npm releases. Use when deploying backend or frontend changes to clawhub.ai, dispatching the Deploy workflow, publishing a stable CLI tag, checking release prerequisites, or proving the exact production SHA and workflow outcome.

Why use Clawhub Production Release on TypingMind?

Because you install it once and use it with any model. Clawhub Production Release is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Clawhub Production Release in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/clawhub/tree/main/.agents/skills/clawhub-production-release. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Clawhub Production Release?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Clawhub Production Release?

As many as you like. As long as a model supports skills, you can use Clawhub Production Release with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Clawhub Production Release AI skill free?

Yes. It is published on GitHub by openclaw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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