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Openclaw Release Validation

OrganizationPopular
openclaw
openclaw-release-validation

Guide human release testing on an isolated OCM copy or approved in-place gateway, collect feedback, or refresh the release campaign.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameopenclaw-release-validation
Stars
391K
Forks
82.2K
Bundled files
12
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.

  • 12 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 Openclaw Release Validation 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/openclaw-release-validation
  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/openclaw-release-validation .claude/skills/openclaw-release-validation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Release Validation 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 Validation 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 Validation 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 Validation

Help a human test an immutable latest-main build against a selected real Gateway's state. Automate preparation, triage, and reporting; the human drives interactive surfaces and judges quality. This skill collects feedback, not a release go/no-go decision.

Choose the mode

  • Campaign artifact: only when RELEASE_VALIDATION_ARTIFACT_PATH is present. Read artifact generation, write that artifact, and stop. GitHub is read-only; no skill-update request or interactive setup.
  • Update campaign: for an explicit refresh request, read installed skill check, then campaign lookup/dispatch. Dispatch the isolated runner for the selected explicit tag, verify its issue, and stop. Never analyze or edit the canonical issue yourself.
  • Validate release: default human-testing workflow below. It joins the campaign; it never creates or rewrites the issue body directly.

Human validation

  1. Read installed skill check. Introduce the run briefly: choose a Gateway, protect it with a disposable OCM copy or approve an in-place update, prepare the pinned main build, then test and review feedback.
  2. Read campaign lookup/dispatch. Require a current campaign and record its stable train and current beta. Gateway preparation pins the main test target separately.
  3. Read Gateway preparation. Discover without mutation, let the tester choose source and mode, then prepare the selected target. Never use the caller's active checkout.
  4. Only after readiness succeeds, offer local diagnostics for an isolated target, then read human testing to create the worksheet and guide one chosen surface at a time.
  5. On finish validation, read cleanup and report approval. It handles blocked upgrades too. Review the complete batch before any post and preserve the exact structured-report contract.

Before readiness is terminal, show only campaign/beta identity, source/mode choice, and upgrade progress or errors. Do not expose testing instructions or create a worksheet for a Gateway that never became ready.

Boundaries

An isolated OCM copy must prove all candidate-writable paths remain contained. Do not bypass a failed containment check with manual copying. Copied channel credentials require explicit authorization to stop their current owner and a restoration plan. In-place mode changes real state: present verified backup/snapshot and dry-run evidence before obtaining update approval. Rollback requires separate approval because newer migrations can make code-only reversion unsafe.

Keep one worksheet for a ready candidate; only tester-authored results count as tested. A blocked candidate uses its final upgrade-report draft instead. For setup, OCM, backup, build or cleanup failures, use the private tooling-feedback packet; do not turn these into candidate findings. With no candidate evaluation, clean up and report that fact without producing a candidate vote or posting batch.

Diagnostics are opt-in, disposable-target-only, loopback-only and content-off. Public feedback excludes raw logs, telemetry, paths, Gateway names, identifiers, credentials and setup/cleanup details. Apply the report's narrow environment allowlist and sanitization before showing the complete draft. finish validation does not authorize posts; existing explicit batch approval does. The Discord summary is a copy-ready handoff, never an automatic send.

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 Openclaw Release Validation AI skill do?

Guide human release testing on an isolated OCM copy or approved in-place gateway, collect feedback, or refresh the release campaign.

Why use Openclaw Release Validation on TypingMind?

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

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

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 Validation?

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

Is the Openclaw Release Validation 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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