openclaw-qa-testing
Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel.
Skill by Arry8
Chalk Labs
Need help deploying openclaw-qa-testing?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/arry8-openclaw-qa-testing
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: testing, productivity, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
openclaw-qa-testing- Description
- Run, watch, debug, and extend OpenClaw QA testing with qa-lab and qa-channel. Use when Codex needs to execute the repo-backed QA suite, inspect live QA artifacts, debug failing scenarios, add new QA scenarios, or explain the OpenClaw QA workflow. Prefer the live OpenAI lane with regular openai/gpt-5.4 in fast mode; do not use gpt-5.4-pro or gpt-5.4-mini unless the user explicitly overrides that policy.
- License
- MIT
- Instructions
- 82 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# OpenClaw QA Testing
Use this skill for `qa-lab` / `qa-channel` work. Repo-local QA only.
## Read first
- `docs/concepts/qa-e2e-automation.md`
- `docs/help/testing.md`
- `docs/channels/qa-channel.md`
- `qa/QA_KICKOFF_TASK.md`
- `qa/seed-scenarios.json`
- `extensions/qa-lab/src/suite.ts`
## Model policy
- Live OpenAI lane: `openai/gpt-5.4`
- Fast mode: on
- Do not use:
- `openai/gpt-5.4-pro`
- `openai/gpt-5.4-mini`
- Only change model policy if the user explicitly asks.
## Default workflow
1. Read the seed plan and current suite implementation.
2. Decide lane:
- mock/dev: `mock-openai`
- real validation: `live-openai`
3. For live OpenAI, use:
```bash
OPENCLAW_LIVE_OPENAI_KEY="${OPENAI_API_KEY}" \
pnpm openclaw qa suite \
--provider-mode live-openai \
--model openai/gpt-5.4 \
--alt-model openai/gpt-5.4 \
--output-dir .artifacts/qa-e2e/run-all-live-openai-<tag>
```
4. Watch outputs:
- summary: `.artifacts/qa-e2e/run-all-live-openai-<tag>/qa-suite-summary.json`
- report: `.artifacts/qa-e2e/run-all-live-openai-<tag>/qa-suite-report.md`
5. If the user wants to watch the live UI, find the current `openclaw-qa` listen port and report `http://127.0.0.1:<port>`.
6. If a scenario fails, fix the product or harness root cause, then rerun the full lane.
## Repo facts
- Seed scenarios live in `qa/`.
- 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`
- Discovery cannot find repo files:
- point prompts at `repo/...` inside seeded workspace
- 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 scenario metadata to `qa/seed-scenarios.json`
- Keep kickoff expectations in `qa/QA_KICKOFF_TASK.md` aligned
- 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/`From Arry8/openclaw-edge, MIT.
More from Arry8/openclaw-edge
- 0.448score
portfolio-intel
Arry8
Portfolio intelligence copilot.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
task-pua
Arry8
Task persistence enhancer with 13 corporate flavors.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
claude-memory-optimizer
Arry8
Structured memory system with 4-type classification, frontmatter metadata, automated migration, and PUA-style maintenance checklist.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
hermes-learning-loop
Arry8
Self-improving learning loop inspired by Hermes Agent.
SkillDFreshness: D★ 2Claude Code +9 - 0.444score
kernel-cp-activator
Arry8
Deploy KERNEL_INTUITION_Cp on any AI architecture with calibrated thresholds.
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
feishu-bot-refresh
Arry8
Refresh Feishu bot identity information.
SkillDFreshness: D★ 2Claude Code +9 - 0.440score
security-triage
Arry8
Triage GitHub security advisories for OpenClaw with high-confidence close/keep decisions, exact tag and commit verification, trust-model checks, optional…
SkillDFreshness: D★ 2Claude Code +9 - 0.440score
vpn-deployment
Arry8
End-to-end WireGuard VPN deployment guide — VPS server setup, router client configuration, and traffic routing via apfree-wifidog tools.
SkillDFreshness: D★ 2Claude Code +9 - 0.436score
apfree-wifidog
Arry8
Guide tool usage for managing ApFree WiFiDog routers, gateways, and captive portal devices.
SkillDFreshness: D★ 2Claude Code +9 - 0.417score
acp-router
Arry8
Route plain-language requests for Pi, Claude Code, Codex, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid…
SkillDFreshness: D★ 2Claude Code +9
Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 10
- Last commit (this folder)
- Apr 7, 2026 (6 months ago)
- Last release
- Apr 10, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Arry8/openclaw-edge
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from Arry8
- 0.448score
portfolio-intel
Arry8
Portfolio intelligence copilot.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
task-pua
Arry8
Task persistence enhancer with 13 corporate flavors.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
claude-memory-optimizer
Arry8
Structured memory system with 4-type classification, frontmatter metadata, automated migration, and PUA-style maintenance checklist.
SkillDFreshness: D★ 2Claude Code +9 - 0.445score
hermes-learning-loop
Arry8
Self-improving learning loop inspired by Hermes Agent.
SkillDFreshness: D★ 2Claude Code +9 - 0.444score
kernel-cp-activator
Arry8
Deploy KERNEL_INTUITION_Cp on any AI architecture with calibrated thresholds.
SkillDFreshness: D★ 2Claude Code +9 - 0.442score
feishu-bot-refresh
Arry8
Refresh Feishu bot identity information.
SkillDFreshness: D★ 2Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get openclaw-qa-testing running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
openclaw-qa-testing skill. Agent Mart. https://agentmart.dev/skills/arry8-openclaw-qa-testing (last updated 2026-10-24)