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Openclaw Release Maintainer

CommunityPopular
SafeAI-Lab-X
openclaw-release-maintainer

Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.

Overview

PublisherSafeAI-Lab-X
RepositoryClawKeeper
Skill nameopenclaw-release-maintainer
Stars
1K
Forks
57
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SafeAI-Lab-X on GitHub. Read the source before you install it.

Installation

Install the Openclaw Release Maintainer 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/SafeAI-Lab-X/ClawKeeper/tree/main/legacy/clawkeeper-watcher/.agents/skills/openclaw-release-maintainer
  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/SafeAI-Lab-X/ClawKeeper.git /tmp/ClawKeeper
mkdir -p .claude/skills
cp -r /tmp/ClawKeeper/legacy/clawkeeper-watcher/.agents/skills/openclaw-release-maintainer .claude/skills/openclaw-release-maintainer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Release Maintainer 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 Openclaw Release Maintainer 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 Openclaw Release Maintainer 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.

OpenClaw Release Maintainer

Use this skill for release and publish-time workflow. Keep ordinary development changes and GHSA-specific advisory work outside this skill.

Respect release guardrails

  • Do not change version numbers without explicit operator approval.
  • Ask permission before any npm publish or release step.
  • Use the private maintainer release docs for the actual runbook and docs/reference/RELEASING.md for public policy.

Keep release channel naming aligned

  • stable: tagged releases only, with npm dist-tag latest
  • beta: prerelease tags like vYYYY.M.D-beta.N, with npm dist-tag beta
  • Prefer -beta.N; do not mint new -1 or -2 beta suffixes
  • dev: moving head on main
  • When using a beta Git tag, publish npm with the matching beta version suffix so the plain version is not consumed or blocked

Handle versions and release files consistently

  • Version locations include:
    • package.json
    • apps/android/app/build.gradle.kts
    • apps/ios/Sources/Info.plist
    • apps/ios/Tests/Info.plist
    • apps/macos/Sources/OpenClaw/Resources/Info.plist
    • docs/install/updating.md
    • Peekaboo Xcode project and plist version fields
  • “Bump version everywhere” means all version locations above except appcast.xml.
  • Release signing and notary credentials live outside the repo in the private maintainer docs.

Build changelog-backed release notes

  • Changelog entries should be user-facing, not internal release-process notes.
  • When cutting a mac release with a beta GitHub prerelease:
    • tag vYYYY.M.D-beta.N from the release commit
    • create a prerelease titled openclaw YYYY.M.D-beta.N
    • use release notes from the matching CHANGELOG.md version section
    • attach at least the zip and dSYM zip, plus dmg if available
  • Keep the top version entries in CHANGELOG.md sorted by impact:
    • ### Changes first
    • ### Fixes deduped with user-facing fixes first

Run publish-time validation

Before tagging or publishing, run:

bash
node --import tsx scripts/release-check.ts
pnpm release:check
pnpm test:install:smoke

For a non-root smoke path:

bash
OPENCLAW_INSTALL_SMOKE_SKIP_NONROOT=1 pnpm test:install:smoke

Use the right auth flow

  • Core openclaw publish uses GitHub trusted publishing.
  • Do not use NPM_TOKEN or the plugin OTP flow for core releases.
  • @openclaw/* plugin publishes use a separate maintainer-only flow.
  • Only publish plugins that already exist on npm; bundled disk-tree-only plugins stay unpublished.

GHSA advisory work

  • Use openclaw-ghsa-maintainer for GHSA advisory inspection, patch/publish flow, private-fork validation, and GHSA API-specific publish checks.

Frequently asked questions

What does the Openclaw Release Maintainer AI skill do?

Maintainer workflow for OpenClaw releases, prereleases, changelog release notes, and publish validation. Use when Codex needs to prepare or verify stable or beta release steps, align version naming, assemble release notes, check release auth requirements, or validate publish-time commands and artifacts.

Why use Openclaw Release Maintainer on TypingMind?

Because you install it once and use it with any model. Openclaw Release Maintainer 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 Openclaw Release Maintainer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SafeAI-Lab-X/ClawKeeper/tree/main/legacy/clawkeeper-watcher/.agents/skills/openclaw-release-maintainer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openclaw Release Maintainer?

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 Openclaw Release Maintainer?

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

Is the Openclaw Release Maintainer AI skill free?

It is published on GitHub by SafeAI-Lab-X. Check the repository for licensing terms. 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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