ddd-qa-chain SKILL.md skillA
ddd-qa-chain from ninjasln-labs/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add ninjasln-labs/agent-skills/ddd-qa-chain@v1.1.1Pins v1.1.1 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- ninjasln-labs/agent-skills
- Path
ddd-qa-chain/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.1, committed Sep 29, 2026
- First version recorded
- Aug 16, 2026
- Size
- 10,130 bytes
- Repository stars
- 3
- License
- none declared
Run the quality verification chain—5 abstract verification layers (domain logic / contract / component interaction / E2E user journeys / visual regression) mapped onto the project's own test stack (unit runner, type checker, contract tests, e2e suite, visual regression), each with a gate, plus a run-all delivery gate and a DoD quality gate (deterministic assertions + probabilistic sample/threshold for model-driven behavior). Use when delivering or verifying a feature, before claiming work…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# QA Chain（质量链编排） ## 定位 **5 层自动化验证链**，从项目**现有测试基建**映射各层工具与命令——不发明新命令，只编排门禁。 全链通过才可交付；每层结果必须带新鲜命令输出（verification-before-completion）。 层是**概念**，工具/命令是**项目映射**（见「项目映射」节）。 ## 何时使用 - 交付前 / 重大改动后 / 用户要求「自测全通再给我」 - 任何「宣称完成」之前；「有 QA 链吗」「跑质量链」触发 ## 五层验证链 + 金字塔梯度 L1 单元逻辑 → L2 契约 → L3 组件交互 → L4 端到端 → L5 视觉回归；底层多而快、顶层少而慢， 各层有门禁触发条件（全表见 [references/qa-chain-tables.md](references/qa-chain-tables.md)）。 ## 验证与确认（V&V——两个不同的问题） 验证（实现正确）与确认（实现的是要的）缺一不可；全链绿但 AC 未实现 = 确认失败——不交付 （详见 [references/qa-chain-tables.md](references/qa-chain-tables.md)）。 ## 项目映射（探测 → 适配） ``` - [ ] 1. 探测测试基建：package.json scripts / CI 配置（GitHub Actions 等）/ 测试目录布局 - [ ] 2. 映射各层：L1 → 单测脚本；L2 → 类型检查 + 契约测试；L3 → 组件测试；L4 → e2e 脚本；L5 → 视觉脚本 - [ ] 3. 探测失败（无 scripts/自定义 runner）→ 问用户或查项目文档；禁止猜命令 - [ ] 4. 记录映射表（输出报告含每层实际命令）——下次复用 ``` 每层必须能回答：「用什么命令跑、怎么算过」。映射不到的命令层 → 标**未覆盖**（不是假装通过）。 可配置槽位：`tool`（运行器）、`runner`（命令模板）、`workdir`、`env`（如密钥类环境变量——路径不写值）。 ## 覆盖率与充分性 - **必跑 ≠ 充分**：层门禁通过后，检查该层是否有度量证明「够了」——语句/分支覆盖率门槛（项目约定，如 L1 ≥80% 分支）； 关键不变量可选**变异测试**抽查（变异杀死率——防「断言没测到语义」）。 - 无覆盖率约定的项目：标注「未度量」（不算 FAIL，但报告显式列出——防虚假安全感）。 - 测试数据隔离：用例间数据互不污染（内存适配器/每用例重置/工厂数据）——避免「依赖执行顺序才绿」。 ## 全链 run-all（交付门禁） ```bash # 按映射结果拼装：全部层依次执行，任一失败即停（或记录后汇总） …
Read the whole file at its exact version.
How to install
mdr add ninjasln-labs/agent-skills/ddd-qa-chain@sha256:9c36b54047591534The line at the top of this page pins the label v1.1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_c6svvlsfami5behn)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 16, 2026 and Sep 29, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.1 latest | 2026-09-29 | 0febb7a | 10,130 B | A | view · diff |
| v1.0.1 | 2026-09-22 | 75c75c0 | 9,273 B | A | view · diff |
| v1.0.0 | 2026-09-07 | 571fb57 | 9,297 B | A | view · diff |
| git:20260816.0192b90 | 2026-08-16 | 0192b90 | 9,237 B | A | view · diff |
| git:20260816.adf401a | 2026-08-16 | adf401a | 8,940 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10130 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ninjasln-labs/agent-skills · 3 stars · license none declared · pushed 2026-10-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_c6svvlsfami5behn GET https://markdownregistry.com/api/v1/resolve?ref=ninjasln-labs/agent-skills/ddd-qa-chain GET https://markdownregistry.com/api/v1/blob/9c36b54047591534cc94b48618b10e74dd0cb57eb14149f622948a23ce28f1c2
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.