一键导入
run-manual-qa-tests
Execute live manual QA from written cases or an inline repro case, capture verifiable artifacts, and write a structured result report.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Execute live manual QA from written cases or an inline repro case, capture verifiable artifacts, and write a structured result report.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Convert a manual QA Markdown result into a standalone HTML evidence report with clickable proof links for JSON, images, and code snippets.
Reproduce a bug locally, trace intent and history, propose the smallest safe fix, then implement and verify the repair.
Turn a technical spec or concrete problem statement into a concrete implementation and test plan formed of small, traceable tasks.
Review PR discussions to identify improvements to agents, templates, or instructions; write a retro report to rnd/retros.
Convert product specs into a repo-grounded technical specification / high-level design.
Produce E2E sanity test cases (English) for features and save them under rnd/test_cases/.
| name | run-manual-qa-tests |
| description | Execute live manual QA from written cases or an inline repro case, capture verifiable artifacts, and write a structured result report. |
Execute live manual QA from written cases or an inline repro case, capture verifiable artifacts, and write a structured result report.
{{rnd/agents/manual-qa-tester.md}} {{rnd/agents/shared/command-hygiene.md}}
Unless strictly required for correctness, safety, or tool compatibility, run this skill on the cheapest available model tier for the current platform.
Examples by platform:
gpt-5.4-mini); only escalate if required.GPT-5 mini (the unlimited tier) first; only escalate if required.Validate real feature behavior against a running environment. Use written test cases when they exist, or a focused inline reproduction case when an orchestrator needs bug reproduction or post-fix verification.
This skill is the final evidence gate for live verification. Unit tests, integration tests, and static inspection can inform setup, but they do not count as acceptance evidence.
rnd/test_cases/<feature-id>-test-cases.md when availablernd/build_plans/rnd/product_specs/ and rnd/tech_specs/AGENTS.md / CLAUDE.md filesrnd/templates/manual-qa-result.mdrnd/manual-qa-results/<feature-id>-manual-qa-result.mdrnd/manual-qa-results/<feature-id>/artifacts/PASSED without at least one valid raw artifact path and hash.REJECTED.AGENTS.md / CLAUDE.md files.rnd/templates/manual-qa-result.md and use it as the report structure.REJECTED.curl, CLI tools, logs, or DB queries as appropriate.rnd/manual-qa-results/<feature-id>/artifacts/.PASSED, FAILED, or BLOCKED based on observed behavior and evidence.For each executed case, create artifacts/<case-id>.evidence.txt containing:
Then compute and store SHA-256 hashes for every raw artifact referenced by that case.
Accepted raw artifact types (prefer text-first):
Screenshot policy:
FAILED or BLOCKED case: at least one screenshot is required.PASSED case: screenshot is optional.If an artifact is missing, unreadable, or hash generation fails, mark the case BLOCKED.
When a parent skill sends a single inline reproduction case:
REPRODUCED, NOT REPRODUCED, or BLOCKED.rnd/manual-qa-results/<feature-id>-manual-qa-result.md.case_id, steps_executed, expected, observed, artifact_paths, artifact_hashes, and verdict.rnd/test_cases/, relevant files under rnd/build_plans/, rnd/product_specs/, rnd/tech_specs/, repo/app/module-scoped AGENTS.md / CLAUDE.md files, rnd/templates/manual-qa-result.md, and the current codebasernd/manual-qa-results/ only{{rnd/agents/summary.md}}