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重构主控编排与运行时预热链路,统一工作区提示词/专家调度协议并补齐 wiki 记忆注入与写回闭环。
同时收敛启动与运维脚本默认行为(含 wiki worker)、更新 Admin 可观测性与相关测试,降低首轮时延并提高运行稳定性。 Made-with: Cursor
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openclaw/.agents/skills/openclaw-qa-testing/SKILL.md
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openclaw/.agents/skills/openclaw-qa-testing/SKILL.md
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---
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name: openclaw-qa-testing
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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.
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---
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# OpenClaw QA Testing
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Use this skill for `qa-lab` / `qa-channel` work. Repo-local QA only.
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## Read first
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- `docs/concepts/qa-e2e-automation.md`
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- `docs/help/testing.md`
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- `docs/channels/qa-channel.md`
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- `qa/README.md`
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- `qa/scenarios/index.md`
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- `extensions/qa-lab/src/suite.ts`
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- `extensions/qa-lab/src/character-eval.ts`
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## Model policy
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- Live OpenAI lane: `openai/gpt-5.4`
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- Fast mode: on
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- Do not use:
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- `openai/gpt-5.4-pro`
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- `openai/gpt-5.4-mini`
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- Only change model policy if the user explicitly asks.
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## Default workflow
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1. Read the scenario pack and current suite implementation.
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2. Decide lane:
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- mock/dev: `mock-openai`
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- real validation: `live-frontier`
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3. For live OpenAI, use:
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```bash
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OPENCLAW_LIVE_OPENAI_KEY="${OPENAI_API_KEY}" \
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pnpm openclaw qa suite \
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--provider-mode live-frontier \
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--model openai/gpt-5.4 \
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--alt-model openai/gpt-5.4 \
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--output-dir .artifacts/qa-e2e/run-all-live-frontier-<tag>
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```
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4. Watch outputs:
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- summary: `.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-summary.json`
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- report: `.artifacts/qa-e2e/run-all-live-frontier-<tag>/qa-suite-report.md`
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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>`.
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6. If a scenario fails, fix the product or harness root cause, then rerun the full lane.
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## Character evals
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Use `qa character-eval` for style/persona/vibe checks across multiple live models.
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```bash
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pnpm openclaw qa character-eval \
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--model openai/gpt-5.4,thinking=xhigh \
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--model openai/gpt-5.2,thinking=xhigh \
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--model openai/gpt-5,thinking=xhigh \
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--model anthropic/claude-opus-4-6,thinking=high \
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--model anthropic/claude-sonnet-4-6,thinking=high \
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--model zai/glm-5.1,thinking=high \
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--model moonshot/kimi-k2.5,thinking=high \
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--model google/gemini-3.1-pro-preview,thinking=high \
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--judge-model openai/gpt-5.4,thinking=xhigh,fast \
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--judge-model anthropic/claude-opus-4-6,thinking=high \
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--concurrency 16 \
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--judge-concurrency 16 \
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--output-dir .artifacts/qa-e2e/character-eval-<tag>
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```
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- Runs local QA gateway child processes, not Docker.
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- Preferred model spec syntax is `provider/model,thinking=<level>[,fast|,no-fast|,fast=<bool>]` for both `--model` and `--judge-model`.
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- Do not add new examples with separate `--model-thinking`; keep that flag as legacy compatibility only.
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- Defaults to candidate models `openai/gpt-5.4`, `openai/gpt-5.2`, `openai/gpt-5`, `anthropic/claude-opus-4-6`, `anthropic/claude-sonnet-4-6`, `zai/glm-5.1`, `moonshot/kimi-k2.5`, and `google/gemini-3.1-pro-preview` when no `--model` is passed.
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- Candidate thinking defaults to `high`, with `xhigh` for OpenAI models that support it. Prefer inline `--model provider/model,thinking=<level>`; `--thinking <level>` and `--model-thinking <provider/model=level>` remain compatibility shims.
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- OpenAI candidate refs default to fast mode so priority processing is used where supported. Use inline `,fast`, `,no-fast`, or `,fast=false` for one model; use `--fast` only to force fast mode for every candidate.
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- Judges default to `openai/gpt-5.4,thinking=xhigh,fast` and `anthropic/claude-opus-4-6,thinking=high`.
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- Report includes judge ranking, run stats, durations, and full transcripts; do not include raw judge replies. Duration is benchmark context, not a grading signal.
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- 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.
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- Scenario source should stay markdown-driven under `qa/scenarios/`.
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- For isolated character/persona evals, write the persona into `SOUL.md` and blank `IDENTITY.md` in the scenario flow. Use `SOUL.md + IDENTITY.md` only when intentionally testing how the normal OpenClaw identity combines with the character.
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- 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.
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- 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.
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## Codex CLI model lane
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Use model refs shaped like `codex-cli/<codex-model>` whenever QA should exercise Codex as a model backend.
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Examples:
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```bash
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pnpm openclaw qa suite \
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--provider-mode live-frontier \
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--model codex-cli/<codex-model> \
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--alt-model codex-cli/<codex-model> \
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--scenario <scenario-id> \
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--output-dir .artifacts/qa-e2e/codex-<tag>
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```
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```bash
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pnpm openclaw qa manual \
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--model codex-cli/<codex-model> \
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--message "Reply exactly: CODEX_OK"
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```
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- Treat the concrete Codex model name as user/config input; do not hardcode it in source, docs examples, or scenarios.
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- Live QA preserves `CODEX_HOME` so Codex CLI auth/config works while keeping `HOME` and `OPENCLAW_HOME` sandboxed.
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- Mock QA should scrub `CODEX_HOME`.
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- If Codex returns fallback/auth text every turn, first check `CODEX_HOME`, `~/.profile`, and gateway child logs before changing scenario assertions.
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- For model comparison, include `codex-cli/<codex-model>` as another candidate in `qa character-eval`; the report should label it as an opaque model name.
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## Repo facts
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- Seed scenarios live in `qa/`.
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- Main live runner: `extensions/qa-lab/src/suite.ts`
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- QA lab server: `extensions/qa-lab/src/lab-server.ts`
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- Child gateway harness: `extensions/qa-lab/src/gateway-child.ts`
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- Synthetic channel: `extensions/qa-channel/`
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## What “done” looks like
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- Full suite green for the requested lane.
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- User gets:
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- watch URL if applicable
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- pass/fail counts
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- artifact paths
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- concise note on what was fixed
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## Common failure patterns
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- Live timeout too short:
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- widen live waits in `extensions/qa-lab/src/suite.ts`
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- Discovery cannot find repo files:
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- point prompts at `repo/...` inside seeded workspace
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- Subagent proof too brittle:
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- prefer stable final reply evidence over transient child-session listing
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- Harness “rebuild” delay:
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- dirty tree can trigger a pre-run build; expect that before ports appear
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## When adding scenarios
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- Add or update scenario markdown under `qa/scenarios/`
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- Keep kickoff expectations in `qa/scenarios/index.md` aligned
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- Add executable coverage in `extensions/qa-lab/src/suite.ts`
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- Prefer end-to-end assertions over mock-only checks
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- Save outputs under `.artifacts/qa-e2e/`
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interface:
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display_name: "QA Test OpenClaw"
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short_description: "Run and debug qa-lab and qa-channel scenarios"
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default_prompt: "Use $openclaw-qa-testing to run or extend the OpenClaw QA suite with qa-lab and qa-channel, using regular openai/gpt-5.4 in fast mode for live OpenAI runs."
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