
OpenClaw QA Testing
FreeStreamline your QA processes with OpenClaw.
Free · Opens the source repo
What OpenClaw QA Testing does
OpenClaw QA Testing is a specialized skill designed for developers and QA engineers working with OpenClaw's qa-lab and qa-channel environments. This skill facilitates the execution, monitoring, debugging, and enhancement of various QA scenarios and artifacts within a local repository context. It is particularly useful for teams that need to validate their applications against a set of predefined scenarios, ensuring that their integrations and functionalities perform as expected.
To utilize this skill effectively, users are encouraged to familiarize themselves with the relevant documentation, including concepts related to end-to-end automation and specific testing guidelines. The skill operates through a series of command-line instructions that allow users to select between mock or live validation modes, depending on the nature of the tests they intend to run. By following a structured workflow, users can generate detailed outputs, including summary reports and UI monitoring links, which are essential for identifying and resolving issues in real-time.
The skill also incorporates features for managing QA credentials securely, leveraging tools like 1Password for credential management and ensuring that sensitive information is handled appropriately. This makes it an ideal choice for teams that require robust security measures while conducting their QA processes. Additionally, the integration with OpenTelemetry for local validation allows teams to verify trace data and maintain compliance with privacy standards.
Overall, OpenClaw QA Testing is tailored for developers and QA teams who need a reliable tool for managing their QA workflows, especially in environments where OpenClaw is utilized. Its focus on local QA processes ensures that teams can iterate quickly and maintain high-quality standards in their software development life cycle.
When to use it
Use this skill when you need to run QA tests on OpenClaw applications, especially in local environments.
When not to use it
This skill is not suitable for non-OpenClaw projects or for users who require cloud-based QA solutions.
What you can build with it
Running Local QA Tests
Use OpenClaw QA Testing to execute local QA tests in your development environment, ensuring your application meets quality standards.
Debugging QA Scenarios
Quickly identify and fix issues in your QA scenarios by leveraging the skill's output reports and monitoring features.
Managing QA Credentials
Securely manage your QA credentials using 1Password integration, simplifying the authentication process during testing.
How to install OpenClaw QA Testing
View source1. Install with the skills CLI
npx skills add openclaw/openclaw/openclaw-qa-testing --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by openclawOpenClaw QA Testing
Use this skill for qa-lab / qa-channel work. Repo-local QA only.
Read first
docs/concepts/qa-e2e-automation.mddocs/help/testing.mddocs/channels/qa-channel.mdqa/README.mdqa/scenarios/index.yamlextensions/qa-lab/src/suite.tsextensions/qa-lab/src/character-eval.ts
Model policy
- Normal live suite runs rely on QA Lab source- and auth-aware defaults.
- Do not pass
--model,--alt-model, or--fastby default. Omitted--fastdoes not mean fast is disabled; fast behavior is source-owned. - For scenario-specific runs, the complete
execution.summaryis authoritative and overrides generic default guidance, including when it requires other flags. Add explicit provider/model pins only whenexecution.config.requiredProviderorrequiredModelrequires them.
Default workflow
- Read the scenario pack and current suite implementation.
- Decide lane:
- mock/dev:
mock-openai - real validation:
live-frontier
- mock/dev:
- For a normal live suite, use:
pnpm openclaw qa suite \
--provider-mode live-frontier \
--output-dir .artifacts/qa-e2e/run-all-live-frontier-<tag>
- Watch outputs:
- summary:
.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-summary.json - report:
.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-report.md
- summary:
- If the user wants to watch the live UI, find the current
openclaw-qalisten port and reporthttp://127.0.0.1:<port>. - If a scenario fails, fix the product or harness root cause, then rerun the full lane.
OTEL smoke
For local QA-lab OpenTelemetry validation, use:
pnpm qa:otel:smoke
This starts a local OTLP/HTTP trace receiver, runs the otel-trace-smoke
scenario through qa-channel, decodes the emitted protobuf spans, and verifies
the exported trace names and privacy contract. It does not require Opik,
Langfuse, or external collector credentials.
QA credentials and 1Password
- Use
oponly insidetmuxfor QA secret lookup in this repo. - Quick auth check inside tmux:
op account list
- Direct Telegram npm live test secrets currently live in 1Password item:
- vault:
OpenClaw - item:
Telegram E2E
- vault:
- That item is the first place to look for:
OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKENOPENCLAW_QA_TELEGRAM_SUT_BOT_TOKENOPENCLAW_QA_PROVIDER_MODEOPENCLAW_NPM_TELEGRAM_PACKAGE_SPEC
- Convex QA secrets currently live in 1Password items:
- vault:
OpenClaw - item:
OPENCLAW_QA_CONVEX_SITE_URL - item:
OPENCLAW_QA_CONVEX_SECRET_MAINTAINER - item:
OPENCLAW_QA_CONVEX_SECRET_CI
- vault:
- Additional related notes/login items seen during QA credential work:
- vault:
Private - items:
OPENCLAW QA,Convex,Telegram
- vault:
- If a required value is missing from those notes:
- do not guess
- ask the maintainer/operator for the current value or the current 1Password item name
- for Telegram direct runs,
OPENCLAW_QA_TELEGRAM_GROUP_IDmay be stored separately fromTelegram E2E - for Convex runs, the leased Telegram credential should provide the Telegram group id and bot tokens together; do not require a separate
OPENCLAW_QA_TELEGRAM_GROUP_ID - for Convex runs, prefer
OpenClaw/OPENCLAW_QA_CONVEX_SITE_URL; if that is stale or unclear, ask for the active pool URL before running
- Prefer direct Telegram envs for the npm Telegram Docker lane when available:
OPENCLAW_QA_TELEGRAM_GROUP_ID="..." \
OPENCLAW_QA_TELEGRAM_DRIVER_BOT_TOKEN="..." \
OPENCLAW_QA_TELEGRAM_SUT_BOT_TOKEN="..." \
OPENCLAW_QA_PROVIDER_MODE="mock-openai" \
OPENCLAW_NPM_TELEGRAM_PACKAGE_SPEC="openclaw@beta" \
pnpm test:docker:npm-telegram-live
- Prefer Convex mode when the goal is stable shared QA infra:
- round-robin credential leasing
- thinner wrapper for channel-specific setup
- CLI/admin flows around the pooled credentials
- Live npm Telegram Docker lane note:
scripts/e2e/npm-telegram-live-runner.tsreadsOPENCLAW_NPM_TELEGRAM_PROVIDER_MODE- do not assume
OPENCLAW_QA_PROVIDER_MODEis consumed by that wrapper - if a 1Password note only gives
OPENCLAW_QA_PROVIDER_MODE, map it explicitly toOPENCLAW_NPM_TELEGRAM_PROVIDER_MODEbefore running the Docker lane
- Verified live shape:
- Convex mode can pass the real Docker lane without direct Telegram env vars
- leased Telegram payload includes the group id coupled to the driver/SUT tokens
- a real run of
pnpm test:docker:npm-telegram-livepassed with:OPENCLAW_QA_CREDENTIAL_SOURCE=convexOPENCLAW_QA_CREDENTIAL_ROLE=maintainerOPENCLAW_QA_CONVEX_SITE_URLOPENCLAW_QA_CONVEX_SECRET_MAINTAINEROPENCLAW_NPM_TELEGRAM_PROVIDER_MODE=mock-openai
- If direct Telegram env is missing locally and
op signinblocks, prefer dispatching the manual GitHub lane because theqa-live-sharedenvironment already has Convex CI credentials:
gh workflow run "NPM Telegram Beta E2E" --repo openclaw/openclaw --ref main \
-f package_spec=openclaw@YYYY.M.D-beta.N \
-f package_label=openclaw@YYYY.M.D-beta.N \
-f provider_mode=mock-openai
- Poll the exact run id from the dispatch URL.
gh run view --json artifactsis not supported; list artifacts with:
gh api repos/openclaw/openclaw/actions/runs/<run-id>/artifacts
WhatsApp live credentials
Use this when setting up or replacing Convex kind=whatsapp credentials.
- Treat WhatsApp QA credentials as operator-owned live accounts, not generated fixtures.
- Use two dedicated WhatsApp-capable test numbers: one driver account and one SUT account. Do not use personal numbers or personal OpenClaw WhatsApp accounts in the shared pool.
- Register and link each account manually with WhatsApp or WhatsApp Business, storing Web auth only in isolated local auth dirs outside the repo.
- For group coverage, create a dedicated test group that includes both QA accounts and store its JID as
groupJid; otherwise the group mention-gating scenario should be skipped by default and fail when explicitly requested. - Package the two Baileys auth dirs into base64
.tgzpayload fields and add a new active Convex credential row. Prefer adding a fresh row and disabling stale/broken rows over overwriting credentials in place. - Expected payload fields:
driverPhoneE164,sutPhoneE164,driverAuthArchiveBase64,sutAuthArchiveBase64, and optionalgroupJid. - Keep credential material out of the repo, logs, PRs, and screenshots. Redact phone numbers unless the operator explicitly asks for local debugging.
- Validate with
pnpm openclaw qa whatsapp --credential-source convex --credential-role maintainer --provider-mode mock-openaiand preserve artifact paths plus redacted pass/fail summaries. - If WhatsApp expires or invalidates a linked Web session, relink locally, package fresh auth archives, add a new Convex row, then disable the stale row.
Character evals
Use qa character-eval for style/persona/vibe checks across multiple live models.
pnpm openclaw qa character-eval \
--output-dir .artifacts/qa-e2e/character-eval-<tag>
- Runs local QA gateway child processes, not Docker.
- With no model flags, character eval uses its current source-defined candidate, judge, thinking, and fast defaults.
- Repeat
--model provider/model,thinking=<level>[,fast|,no-fast|,fast=<bool>]or--judge-model ...only to replace the corresponding inventory explicitly. - Do not add new examples with separate
--model-thinking; keep that flag as legacy compatibility only. - Report includes judge ranking, run stats, durations, and full transcripts; do not include raw judge replies. Duration is benchmark context, not a grading signal.
- Candidate and judge concurrency default to 16. Use
--concurrency <n>and--judge-concurrency <n>to override when local gateways or provider limits need a gentler lane. - Scenario source is YAML-only under
qa/scenarios/: useindex.yamland per-scenario*.yamlfiles with top-leveltitle,scenario, and optionalflow. Never add fencedqa-scenario/qa-flowMarkdown files. - For isolated character/persona evals, write the persona into
SOUL.mdand blankIDENTITY.mdin the scenario flow. UseSOUL.md + IDENTITY.mdonly when intentionally testing how the normal OpenClaw identity combines with the character. - Keep prompts natural and task-shaped. The candidate model should receive character setup through
SOUL.md, then normal user turns such as chat, workspace help, and small file tasks; do not ask "how would you react?" or tell the model it is in an eval. - Prefer at least one real task, such as creating or editing a tiny workspace artifact, so the transcript captures character under normal tool use instead of pure roleplay.
Codex CLI model lane
Use model refs shaped like codex-cli/<codex-model> whenever QA should exercise Codex as a model backend.
Examples:
pnpm openclaw qa suite \
--provider-mode live-frontier \
--model codex-cli/<codex-model> \
--alt-model codex-cli/<codex-model> \
--scenario <scenario-id> \
--output-dir .artifacts/qa-e2e/codex-<tag>
pnpm openclaw qa manual \
--model codex-cli/<codex-model> \
--message "Reply exactly: CODEX_OK"
- Treat the concrete Codex model name as user/config input; do not hardcode it in source, docs examples, or scenarios.
- Live QA preserves
CODEX_HOMEso Codex CLI auth/config works while keepingHOMEandOPENCLAW_HOMEsandboxed. - Mock QA should scrub
CODEX_HOME. - If Codex returns fallback/auth text every turn, first check
CODEX_HOME, relevant secret-backed auth, and gateway child logs before changing scenario assertions. - For model comparison, include
codex-cli/<codex-model>as another candidate inqa character-eval; the report should label it as an opaque model name.
Repo facts
- Seed scenarios live in
qa/scenarios/index.yamlandqa/scenarios/<theme>/*.yaml. - Main live runner:
extensions/qa-lab/src/suite.ts - QA lab server:
extensions/qa-lab/src/lab-server.ts - Child gateway harness:
extensions/qa-lab/src/gateway-child.ts - Synthetic channel:
extensions/qa-channel/
What “done” looks like
- Full suite green for the requested lane.
- User gets:
- watch URL if applicable
- pass/fail counts
- artifact paths
- concise note on what was fixed
Common failure patterns
- Live timeout too short:
- widen live waits in
extensions/qa-lab/src/suite.ts
- widen live waits in
- Discovery cannot find repo files:
- point prompts at
repo/...inside seeded workspace
- point prompts at
- Subagent proof too brittle:
- prefer stable final reply evidence over transient child-session listing
- Harness “rebuild” delay:
- dirty tree can trigger a pre-run build; expect that before ports appear
When adding scenarios
- Add or update scenario YAML under
qa/scenarios/; do not add.mdscenario files or fenced YAML blocks. - Keep kickoff expectations in
qa/scenarios/index.yamlaligned - Add executable coverage in
extensions/qa-lab/src/suite.ts - Prefer end-to-end assertions over mock-only checks
- Save outputs under
.artifacts/qa-e2e/
Frequently asked questions about OpenClaw QA Testing
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