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/agf-running-sit-tests

Use when an execution-layer dev (frontend-dev / backend-dev / ai-agent-dev / ml-engineer / miniapp-dev) has finished feature code + Unit tests and is about to enter code-review. Provides the SIT scope, environment, AC-driven integration walk, and evidence sink

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appgenesisforge
41419 skills19 agents10 commands3 MCP
Install
$ npx -y skills add pcliangx/AppGenesisForge --skill agf-running-sit-tests --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agf-running-sit-tests

Context preview

The summary Claude sees to decide when to auto-load this skill.

Use when an execution-layer dev (frontend-dev / backend-dev / ai-agent-dev / ml-engineer / miniapp-dev) has finished feature code + Unit tests and is about to enter code-review. Provides the SIT scope, environment, AC-driven integration walk, and evidence sink

SKILL.md

agf-running-sit-tests.SKILL.md
name: agf-running-sit-tests
description: Use when an execution-layer dev (frontend-dev / backend-dev / ai-agent-dev / ml-engineer / miniapp-dev) has finished feature code + Unit tests and is about to enter code-review. Provides the SIT scope, environment, AC-driven integration walk, and evidence sink (progress/<role>.md). SIT is now a dev-owned step, not a separate QA stage.

Running System Integration Tests (SIT)

Use this skill when:

  • A dev finished feature code + Unit tests and is about to enter code-review
  • A dev needs to verify a fix doesn't regress integration (API ↔ DB ↔ external)

What SIT is — and is not

**SIT** verifies that **independently-developed components compose correctly** — frontend ↔ backend ↔ DB ↔ external services. It is NOT:

  • Unit tests (already covered by `pytest` / `vitest` on the branch before SIT)
  • E2E tests (real browser + real user journey — run downstream after code-review)
  • UAT (business owner final sign-off — product-lead drives, downstream of E2E)

You just wrote the Unit tests, so you have the clearest picture of the unit-vs-integration boundary. If a failure reproduces by running just the backend unit tests with mocks, it's a unit-level miss, not a SIT finding; fold it back into the unit suite rather than writing it up as a SIT defect.

Pre-conditions

  • [ ] Feature branch is rebased onto `main`
  • [ ] All Unit tests passing on the branch (pytest / vitest green) + lint + typecheck green
  • [ ] AC 来源可访问:`docs/changes/<change>/tasks.md`(AC↔scenario 映射,[ADR-012](../../../docs/adr/012-spec-driven-change-folders.md));旧 feature fallback `docs/prd/[feature]-[date].md`
  • [ ] `.env.local` with SIT-mode flags configured (or `.env.sit` if a dedicated SIT config exists)
  • [ ] **前端 SIT 专属**:MSW mock 来自 orval 生成产物(`*.msw.ts`),非手写——mock 与 OpenAPI 契约同源(见 ADR-006 / `coding.md` 契约纪律)

If any precondition fails: SendMessage product-lead, do not proceed.

Environment

Default SIT environment is **local docker-compose**, brought up via the root Makefile(本地开发一键 SSOT,依赖管理走 uv——见 ADR-000;不要手写 pip/alembic/uvicorn 命令绕开 `uv.lock`):

# from repo root
make dev       # postgres + backend (uv) + frontend (pnpm) 一键起栈
make migrate   # apply latest schema (uv run alembic)

For LLM-dependent features, set provider env vars per `agf-wiring-multi-llm-sdk` skill. Use a **dedicated SIT API key** with a hard daily spend cap so a runaway test doesn't drain the budget.

Execution sequence

Walk every AC from `docs/changes/<change>/tasks.md`(旧 feature fallback `docs/prd/[feature].md`). For each AC at the integration layer:

1. **Setup** — record exact starting state (DB rows / fixture / user logged in) 2. **Action** — step-by-step what triggers the integration (frontend button click → API call → DB write → external service callback) 3. **Expected** — copy the AC verbatim 4. **Actual** — capture HTTP status, response body excerpt, DB row diff, log lines 5. **Verdict** — Pass / Fail / Blocked (with reason)

> **Verify, don't assume.** Don't write "Passed" because the code looks right. Run the action, capture the actual response, compare. Per `.claude/standards/coding.md` "Verify before assert" — paste the actual command output into the progress entry.

Evidence collection

For each AC verdict:

  • HTTP responses: `curl -i` output or browser DevTools Network export
  • DB state changes: `psql -c "SELECT ..."` before/after dumps
  • Logs: relevant lines from backend console + frontend console
  • Screenshots: only when UI behavior is the subject of the AC

Keep evidence inline in the `**SIT 证据**` section of `progress/<role>.md` (small payloads). Large/binary artifacts → store under `progress/evidence/[feature]/` and reference by path.

Evidence Output

SIT no longer produces a standalone report under `docs/qa/`. All evidence lives in `progress/<role>.md` under the `**SIT 证据**` section of the task entry — pass = single AC-tagged line (`✅ AC-N (integration): <一句话>`), fail/blocked expands命令 + 输出 + 偏差.

Format authority: `.claude/standards/ac-lifecycle.md` → **完整条目格式** (5-section format 状态 / Skills / SIT 证据 / 质量门 / 下一步 + the `**SIT 证据**` block rules). The progress file is archived into `docs/qa/[feature]-process-log.md` after UAT sign-off (product-lead), so SIT evidence survives without a separate report artifact.

Hand-off

完成 SIT 自跑后,**先自检再报告**——跑 `bash .claude/scripts/agf-advisory.sh progress/<role>.md`(advisory 机筛统一入口,ADR-026 D2)机筛 placeholder / 漏证据 / pass 含失败 token / 质量门矛盾(advisory,不阻断),把 flag 的修掉再 SendMessage,省一轮 code-review 打回。**这是全链路唯一一次机筛**:reviewer 的 SIT Audit 不重跑 advisory(ADR-011 决策 2 + ADR-026 D2)。然后:

  • **All AC pass**: SendMessage product-lead — "Implementation + SIT done, ready for code-review",引用 `progress/<role>.md` 条目路径 + 时间戳
  • **Some AC fail / blocked**: 仍写完 `progress/<role>.md` 的 SIT 段(如实记录 fail / blocked),但 SendMessage 写明阻塞原因与影响范围,由 product-lead 决定本轮是否就修
  • 不再直接 SendMessage 下游 QA 角色(已不参与 SIT);E2E 由 product-lead 在 code-review (含 SIT Audit) 通过后单独启动

Anti-patterns

  • ❌ Marking AC as Pass without actually triggering the action
  • ❌ Skipping ACs because "they look obviously fine"
  • ❌ Lumping multiple ACs into one "Passed all" line — every AC needs its own verdict + evidence
  • ❌ Running SIT against a stale environment (forgot to apply migrations / restart server)
  • ❌ Using production API keys for SIT
  • ❌ Skipping SIT to ship faster — code-reviewer will reject the SIT Audit (see `.claude/agents/code-reviewer.md` "SIT Audit" section) and you'll be sent back
  • ❌ Treating a missing unit test as a SIT defect — fold it back into the unit suite, don't smuggle it through integration
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Ships withappgenesisforge

Code the Origin, Forge the App. 给 Claude Code 装一支有流程治理的 AI 开发团队——不是更聪明的单 agent,更像一条精益产线:19 角色分工协作、层层把关,缺陷流不进下一道工序。 ↑ 一句话提需求 → AI 团队并行交付 → 看板实时点亮,全程一个终端 tab。 单个 AI agent 一把梭,长流程会失控——没人审、没人测,说「完成了」其实没跑通。AGF 不赌「更强的模型」,而是把 AI 当一支需要流程约束的团队来管——质量不靠更聪明的工人,靠更好的产线。

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