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Release Openclaw Maintainer

OrganizationPopular
openclaw
release-openclaw-maintainer

Prepare, publish, recover, or verify OpenClaw beta, stable, and extended-stable releases, including approved backports.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill namerelease-openclaw-maintainer
Stars
391K
Forks
82.2K
Bundled files
11
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.

  • 11 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 Release Openclaw 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/openclaw/openclaw/tree/main/.agents/skills/release-openclaw-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/openclaw/openclaw.git /tmp/openclaw
mkdir -p .claude/skills
cp -r /tmp/openclaw/.agents/skills/release-openclaw-maintainer .claude/skills/release-openclaw-maintainer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Release Openclaw 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 Release Openclaw 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 Release Openclaw 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 for a release operation, not ordinary development or advisory mutation. Read docs/reference/RELEASING.md for current policy. Load $release-private when available before resolving private credential locators or host topology; credential operations use $one-password.

Choose the operation

Read only the references needed for the selected phase:

  • Regular beta/stable preparation or publication: regular release, which routes preparation and phase-specific proof. If the request does not specify stable/full, default to beta; beta authorization does not authorize later stable promotion.
  • Backport discovery: candidate inventory. For extended-stable also read backport preparation; SDK/config changes need a visible maintenance-risk warning and maintainer decision.
  • Extended-stable .33+ Gateway publication: extended-stable publication. Use the shared publisher with extended-stable inputs; its non-Latest GitHub Release carries evidence without native-app or ClawHub publication.
  • Validation selection or failed proof: validation and confidence, with $release-openclaw-ci for workflow execution and immutable manifests.
  • Interrupted publication or registry promotion: publication recovery.
  • Native assets: platform publication, with $release-openclaw-mac for macOS operations.
  • Stable postpublish synchronization: main closeout.
  • Release notes: $openclaw-changelog-update, including its separate approved post-release docs-mirror route. Initial release generation keeps its existing format; docs publication does not run automatically during release. Requested announcements: $release-openclaw-announcement for Discord, $release-tweets for X. Announcements never gate publication and require explicit posting authorization.
  • Published artifact verification: $verify-release. GHSA operations: $openclaw-ghsa-maintainer only with explicit security-workflow authorization.

Shared release boundaries

Windows Node unit-test CI shards (checks-windows-node-*) in FRV's normalCi child are advisory for Release Decision and publication. The named windows-node-ci class belongs to scripts/full-release-validation-policy.mjs; failures remain recorded in the decision, GitHub step summary, and release evidence manifest. It is policy-derived, never an operator input or waiver. Ordinary PR, push, scheduled, and main CI keep Windows blocking.

Every other selected validation lane must succeed unless it is a recorded flake (below): macOS Node and other normal CI jobs, install smoke, survivor lanes, update-first-hop-compat*, pack/npm qualification, package integrity, and Linux/Windows/macOS Gateway checks, including Windows packaged install/upgrade checks in Release Checks. A cancelled run still blocks. Preserve first failures and classify each one as below before recovery. Stable publication requires stable/full evidence, soak, and blocking performance. Beta-profile evidence cannot authorize stable publication. No lane or soak waiver can bypass these requirements. All nine Gateway install/upgrade combinations across Linux, Windows, and macOS are required for all-group qualification. Preserve identity, provenance, complete evidence, and existing publication approvals.

Every failed test gets an explicit lead decision, real release blocker or flake, recorded in the handoff with its evidence: the same SHA passing elsewhere or on rerun, no relation to the release delta, a runner or infra signature, a history of the same case flaking, or a pre-existing product bug that is not a regression (for example the 2026.9.6 "Assign to…" bug). A real blocker is a regression in shipped bytes or behavior, or an update/install/ publish defect; fix it on the release branch. A flake never blocks: rerun it on the same Release SHA with at most two recorded reruns by default, and file a fix-in-parallel issue or PR on main with the evidence. Never re-cut, change tooling, or start a new FRV for a flake. Main-only failures and infrastructure failures (runner outages, GitHub ghost jobs, hosted-runner offload) count as flakes for the release.

A flake still red after its reruns in an eligible FRV normalCi job gets a recorded-flake receipt from the trusted-main full-release-flake-classification.yml workflow (exact job URL, tracking issue/PR, reason), then the parent decision reruns per the CI skill. The receipt binds the exact parent run and attempt, job and attempt, and Release SHA; the failure stays visible in the step summary, manifest, and release notes. Other children stay strict for now. Never classifiable: the CI gate, seal/evidence jobs, Build Artifacts, install smoke, survivor lanes, update-first-hop-compat*, pack/npm qualification, and package integrity.

Dependency advisories never delay a release. A newly published advisory is never a reason to re-cut, change tooling, or rerun validation. Record it in the release evidence and handoff, then file or queue the dependency bump on main as a normal follow-up after publication. Only a known-malware finding stops publication. Release dependency evidence and release-dispatched CI enforce this.

Main's CI health never gates a release. Validation and publication run from the release branch plus pinned tooling, so a red main is not a reason to wait, re-cut, or pause. When the release needs a release-tooling fix on main (tooling SHAs must be trusted main commits), main failures the fix does not cause must not hold that landing: prove on a clean main checkout that the failure already exists there, record it in the PR body, and merge. During an active release, an admin merge is allowed for a release-tooling PR in exactly that situation. Red main still gets fixed, in parallel by a separate lane, never on the release's critical path.

The operating objectives are approximately 20 minutes to seal validation and publication within an hour, not measured guarantees. Source-only children start alongside artifact producers; candidate consumers start as soon as the candidate is ready. Independently sealed green children can be reused for the same exact target and inputs even when their parent failed, was cancelled, or remains active; verify their original trusted-main workflow SHA and current attempt. The sealed manifest supplies the SDK evidence digest and npm publication decisions; it never acknowledges SDK API changes, so supply plugin_sdk_api_acknowledgement whenever the SDK report contains changes. The publisher cannot accept waived validation evidence. Explicit publisher inputs select publication scope; the candidate helper still validates its explicit SDK acknowledgement when needed.

Explicit approval is required for version changes and irreversible publication. A request to cut, publish, or complete a named release carries through its validated publication and verification; do not ask again unless identity, channel, scope, or material risk changes. Ship authority for ordinary code is not release authority.

An operator's explicit approval to do whatever is needed to prepare a named release is standing authority for the necessary preparation decisions and repairs. Carry it through candidate and tooling fixes, upgrade/migration design, reviewed test or security-inventory alignments, isolated proof, commits, pushes, and validation recovery. Record the decision, its evidence, and the selected support contract; do not ask again merely because an already-approved class of work reaches an implementation or verification step. Continue independent work while resolving a blocker. This authority does not permit hiding defects, lowering a gate to manufacture success, destructive changes to operator state, unrelated work, or publication. A prepare-only request still requires a separate publication instruction before releasing artifacts or a bridge version.

Keep one compact state record using the handoff template: effective goal, version/tag/branch, cut/Code/Tooling/Release SHAs, active parent run and attempt, successful child artifacts, approved changes, phase and next action. Latest operator steering replaces superseded scope. Completed evidence stays complete until a named change invalidates it.

For regular releases, prepare complete notes before freezing Code SHA when possible. If those notes are final, Code SHA and Release SHA are the same commit: one successful fresh full qualification can supply both roles and their exact publication bytes. Do not create another commit or run solely to separate the labels. If notes change after qualification, a descendant whose complete delta includes CHANGELOG/YYYY.M.PATCH.md and only that entry, its matching record, and root index may use split-changelog-release-v1 to reuse product proof while qualifying new publication bytes. Any other source delta, rename, or deletion returns to the Code SHA loop. Historical root-only receipts retain changelog-only-release-v1. Keep trusted Tooling SHA separate; tooling or infrastructure failures do not justify changing the candidate.

Once a candidate is cut, its base is the operator's decision. Never re-cut (re-base the candidate on newer main) unless Peter explicitly asks for it in that release. Without asking, cherry-pick already-merged main commits onto the release branch only to fix a confirmed release blocker: a required lane failing deterministically on the frozen candidate, or an update/install/ publish-bytes defect. Name each cherry-pick in the handoff record. Not allowed: opportunistic backports, feature reverts, or a new base taken to "pick up" a fix that cherry-picks cleanly enough with a small conflict resolution.

Release process improvements made during a release land on both branches. Workflow, release-script, release-test, RELEASING.md, and release-skill changes merge to main first, then get cherry-picked (-x) onto release/YYYY.M.PATCH after the tag without moving the Code SHA, so recovery and the next patch run the same tooling. Where main-only CI infrastructure is missing on the branch, keep the branch's expression form and port only the logic. Product code on the release branch stays blocker-only per the rule above.

A release is not done while anything opened for it is still open. Before the final report, list every PR created during the release (gh pr list --author @me --state open plus any PR bound to the session) and land or explicitly close each one with a reason; confirm its fix is on main and, when it is release tooling, on the release branch. Also remove the release's temporary worktrees, abandoned local cut branches, and stale scripts/pr worktrees.

Published versions and final tags are immutable. Reuse successful exact-source artifacts; do not rebuild or republish as an implicit retry. The active release is the work queue: no opportunistic moving-main fixes or backports. Classify failures, repair their owner, retry the affected surface, then reassess rather than repeating the full release.

Required publication proofs and enforced environment approvals remain required. A passing sibling cannot replace missing required evidence. npm + ClawHub is the priority path. macOS, Windows, Linux, and Android native publication runs in parallel and never gates npm/ClawHub, GitHub release finalization, or main closeout. Selected Windows/macOS Gateway and native-app CI failures block release validation unless the exact normalCi job has a valid recorded-flake receipt; windows-node-ci remains policy-advisory. Platform publishers retain their own artifact and updater contracts; report pending platforms and proof gaps accurately.

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 Release Openclaw Maintainer AI skill do?

Prepare, publish, recover, or verify OpenClaw beta, stable, and extended-stable releases, including approved backports.

Why use Release Openclaw Maintainer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/.agents/skills/release-openclaw-maintainer. 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 Release Openclaw 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 Release Openclaw Maintainer?

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

Is the Release Openclaw Maintainer AI skill free?

It is published on GitHub by openclaw. 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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