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Openclaw Docker E2e Authoring

OrganizationPopular
openclaw
openclaw-docker-e2e-authoring

Author OpenClaw Docker E2E and live provider Docker lanes.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameopenclaw-docker-e2e-authoring
Stars
391K
Forks
82.2K
Bundled files
Instructions only
Links
Skill sourceRepositoryHomepage
  • 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 openclaw on GitHub. Read the source before you install it.

Installation

Install the Openclaw Docker E2e Authoring 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-docker-e2e-authoring
  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-docker-e2e-authoring .claude/skills/openclaw-docker-e2e-authoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Docker E2e Authoring 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 Docker E2e Authoring 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 Docker E2e Authoring 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 Docker E2E Authoring

Use this when adding or changing Docker E2E lanes, release-path Docker tests, or live-provider Docker proof.

Lane Choice

  • Deterministic Docker: fake the dependency/server and assert the exact runtime contract crossing the boundary.
  • Live Docker: use real provider credentials/model only when user-visible behavior needs the real service.
  • Prefer both when they prove different risks: deterministic for byte/payload routing, live for actual provider behavior.

Authoring Rules

  • Test-only helpers live in test/helpers or scripts/e2e/lib/<lane>/, not src/**, unless production imports them.
  • Package-installed app runs from /app; mount only explicit harness/helper paths read-only.
  • Fake servers should log boundary requests as JSONL and clients should assert the real dependency payload, not just process success.
  • Add the package script and scripts/lib/docker-e2e-scenarios.mjs lane in the same change.
  • If a lane installs a plugin from npm, default the spec via env so published and local override paths are both testable.

Media And Vision

  • Expected answer must exist only in pixels or provider output being tested.
  • Use neutral filenames, neutral prompts, and no metadata leaks.
  • Random bitmap/OCR tokens reuse the repo OCR-safe alphabet 24567ACEF unless the test owns a stronger glyph set.
  • Make the expected answer unique per run when proving real image understanding.

chat.send E2E

  • Require chat.send to return status: "started" and a string runId.
  • Wait for completion with agent.wait.
  • Assert final user-visible text via chat.history when event ordering is not the behavior under test.
  • Keep originating channel/account metadata only when the bug path needs queued inbound/channel context.

Verification

Run the smallest proof that covers the touched lane:

bash
pnpm exec oxfmt --write <changed files>
node --check <new .mjs files>
bash -n <new .sh files>
node scripts/run-vitest.mjs test/scripts/docker-e2e-plan.test.ts
OPENCLAW_SKIP_DOCKER_BUILD=1 pnpm test:docker:<lane>

For real-provider lanes, run the matching live Docker script after deterministic Docker is green. Finish with $autoreview before commit/PR.

Frequently asked questions

What does the Openclaw Docker E2e Authoring AI skill do?

Author OpenClaw Docker E2E and live provider Docker lanes.

Why use Openclaw Docker E2e Authoring on TypingMind?

Because you install it once and use it with any model. Openclaw Docker E2e Authoring 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 Docker E2e Authoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-docker-e2e-authoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Openclaw Docker E2e Authoring?

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 Docker E2e Authoring?

As many as you like. As long as a model supports skills, you can use Openclaw Docker E2e Authoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Openclaw Docker E2e Authoring 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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