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Openclaw Testing

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openclaw-testing

Choose proportional OpenClaw tests and checks, diagnose failures, and route environment-sensitive or release proof to its owner.

Overview

Publisheropenclaw
Repositoryopenclaw
Skill nameopenclaw-testing
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Forks
82.2K
Bundled files
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  • 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.

  • 2 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 Testing 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-testing
  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-testing .claude/skills/openclaw-testing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Openclaw Testing 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 Testing 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 Testing 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 Testing

Prove the changed contract with the smallest meaningful check, complete required checks, then finish. Broaden or repeat only for new changes, failures, or unresolved risks. Do not add tests that merely mirror reversible, low-impact implementation changes; use $test-audit when authoring or reviewing tests.

For ordinary local tests, start at docs/reference/test.md#routine-local-order and #core-commands; read docs/ci.md when CI scope or runner behavior matters. Follow the touched subtree's AGENTS.md.

Select The Proof

Trusted development tests, changed checks, typecheck/lint, and builds run locally, including broader suites when the contract warrants them. Remote compute is for isolation, clean installation, packaging, Docker, live services, desktop/platform behavior, or an explicit operator request.

Change or questionStarting point
Runtime defectReproduce narrowly; rerun that proof after the repair, plus relevant siblings
Trusted source diffpnpm changed:lanes --json, pnpm check:changed, focused tests
Public SDK/plugin contractChanged checks plus representative consumer tests; no automatic all-plugin sweep
Build output, lazy imports, package boundariesInclude pnpm build
Workflowgit diff --check and pnpm check:workflows
Documentation onlyRelevant docs/link/format sanity and git diff --check; no runtime tests

For specialized proof, load only the selected route:

  • Remote leases and credentials: $crabbox, with the OpenClaw bootstrap binding below.
  • Package installation, plugin package trust, Docker/live lane selection or reruns: Package And Docker Proof.
  • Release candidates, full-validation dispatch, evidence identity or recovery: $release-openclaw-ci. A narrow green rerun does not itself authorize publication. Do not substitute moving main for the recorded candidate or Tooling SHA.
  • Plugin release matrix: $release-openclaw-plugin-testing.
  • New or changed Docker lanes: $openclaw-docker-e2e-authoring.
  • Channel/UI behavior: the relevant channel proof skill or $control-ui-e2e; mock-Gateway boundary proof is valid when it covers the changed path. State concrete live-proof gaps.

Source And State Boundaries

Untrusted contributor/fork tooling must never execute locally, including its wrapper or config. Use secretless fork CI or sanitized direct AWS under $crabbox; never credential-hydrated Testbox. Credentialed execution requires maintainer approval after review, and never hydrates an untrusted lease.

For untrusted OpenClaw AWS proof, supply the clean trusted main copy of scripts/crabbox-untrusted-bootstrap.sh as Crabbox's <trusted-bootstrap-script>. Bind the fresh lease and --fresh-pr checkout to the reviewed full head SHA. The trusted bootstrap verifies that SHA, the IMDSv2 no-role boundary, and the package-manager pin before installing into an isolated HOME. Keep CRABBOX_ENV_ALLOW=CI, --no-hydrate, no instance role, and no Tailscale. A moved head needs a fresh lease; missing no-role proof or no remote PR means secretless CI. Read the Crabbox untrusted procedure before allocation.

For trusted remote proof, use node scripts/crabbox-wrapper.mjs with the resolved provider; do not silently switch providers or bypass sync/security exclusions. Save and reuse task-owned leases, verify the materialized candidate, keep evidence outside the synced checkout, and stop owned leases at handoff.

Use isolated state and a free port. Never restart, edit, or test against an operator Gateway or real data without explicit per-task approval. Do not kill unrelated processes or reconcile a shared dependency install while jobs use it.

Local Commands

bash
pnpm changed:lanes --json
pnpm check:changed
pnpm test <path-or-filter>
pnpm test:changed

check:changed selects formatting, typecheck, lint, and guard work and may run targeted owner Vitest tests. Inspect its plan with node scripts/check-changed.mjs --dry-run -- <paths...>; it is not the full test suite. test:changed chooses direct tests, mapped/sibling tests, and import dependents; shared harness/config edits can need explicit targets or the broad fallback OPENCLAW_TEST_CHANGED_BROAD=1 pnpm test:changed. pnpm verify runs the full check and then test when that scope is justified.

Use repository wrappers rather than raw Vitest so project routing and setup remain correct. If dependencies are ready in a linked worktree, these bypass pnpm dependency reconciliation:

bash
node scripts/check-changed.mjs
node scripts/run-vitest.mjs <path-or-filter>

Concurrent test/check commands must not share a Vitest filesystem module cache: serialize them, group tests in one invocation, or give each command a distinct OPENCLAW_VITEST_FS_MODULE_CACHE_PATH. Checks can schedule Vitest too. For worker-sensitive failures, OPENCLAW_VITEST_MAX_WORKERS=1 pnpm test <path> provides a focused serial probe; do not make a forced environment the repair.

CI Failures

bash
gh run list --branch <branch> --limit 10 --json databaseId,headSha,status,conclusion,url
gh run view <run-id> --json status,conclusion,headSha,url,jobs
gh run view <run-id> --job <failed-job-id> --log

Bind the diagnosis to the exact SHA and job. Check whether cancellation means a newer same-branch run superseded it. Fetch relevant failed logs once and reuse them; prefer exact run/job state over a stale PR rollup. Separate product, harness, infrastructure, and credential failures before choosing a retry.

For prompt snapshot drift that passes on macOS, reproduce in CI's Linux/Node environment before regenerating; a local pass cannot override failing CI bytes. Fix related failures and rerun the affected proof. Route unrelated failures with evidence rather than broadening this task automatically.

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 Testing AI skill do?

Choose proportional OpenClaw tests and checks, diagnose failures, and route environment-sensitive or release proof to its owner.

Why use Openclaw Testing on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openclaw/openclaw/tree/main/.agents/skills/openclaw-testing. 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 Testing?

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 Testing?

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

Is the Openclaw Testing 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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