expert-output-quality SKILL.md skillA
expert-output-quality from devcodex-labs/devcodex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add devcodex-labs/devcodex/expert-output-quality@git:20260730.6ee304aPins git:20260730.6ee304a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- devcodex-labs/devcodex
- Path
content/skills/expert-output-quality/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260730.6ee304a, committed Jul 30, 2026
- Size
- 9,773 bytes
- Repository stars
- 432
- License
- AGPL-3.0
专家型产物质量门禁 — 当任务涉及代码、文档、示例、fixture、quick start、技术方案、报告或用户指出“不专业 / 像初级 / 示例误导 / 没有资深架构视角”时使用；要求区分生产推荐路径、框架原生能力、测试夹具边界、反模式与证据矩阵。.
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
# Expert Output Quality Skill ## 定位 本 Skill 防止 AI 产物停留在“能跑示例”或“解释 fixture”的初级层面。它要求代码、文档、示例、方案和报告体现技术专家、资深架构师或领域专家视角：先给生产推荐路径，再说明测试夹具、演示代码、兼容路径和反模式的边界。 ## 触发条件 | 场景 | 是否触发 | |------|:--------:| | 代码、文档、示例、fixture、quick start、README、站点文档、技术方案、报告需要交付给用户或维护者 | 必须 | | 用户指出“不专业”“像初级”“这不是推荐写法”“示例误导”“怎么又写成开发文档” | 必须 | | 文档或报告需要解释测试 fixture、demo、mock、兼容路径、历史写法或反模式 | 必须 | | 框架、SDK、库、运行时、权限、路由、中间件、鉴权、缓存、事务、队列、ORM、UI 组件等存在原生能力 | 必须 | | 纯内部临时草稿、只读事实查询、无需产物沉淀的短问答 | N/A + skipReason | ## 核心门禁 | Gate | 要求 | 证据 | |------|------|------| | `ExpertOutputQualityGate` | 输出必须体现对应角色的专业判断，不只复述代码或示例现象 | 角色定位、推荐路径、风险和取舍 | | `ExpertRoleBaselineGate` | 根据任务选择技术专家 / 资深架构师 / 领域专家 / 产品化文档作者视角 | 角色与受众说明 | | `ProductionRecommendedPathGate` | 先写生产推荐路径，再写测试、demo、fixture、兼容或历史路径 | recommendedPath / nonRecommendedPath | | `FrameworkNativeCapabilityFirstGate` | 先检查框架、SDK、平台或项目现有能力，避免手写重复机制 | official / repo-local / runtime evidence | | `FixtureBoundaryDisclosureGate` | fixture、mock、样例配置、硬编码单例必须标明不是生产主路径 | fixtureBoundary、allowedUse、forbiddenUse | | `ExampleArchitectureFitnessGate` | 示例要符合项目推荐架构，避免在 route、controller、UI 或测试里重复声明框架已承载的资源配置 | architectureFit、consumerImpact | …
Read the whole file at its exact version.
How to install
mdr add devcodex-labs/devcodex/expert-output-quality@sha256:bf3030e293d6f825The line at the top of this page pins the label git:20260730.6ee304a, 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_vter2k5qbj5yh4rv)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 30, 2026.
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 (9773 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
devcodex-labs/devcodex · 432 stars · license AGPL-3.0 · pushed 2026-10-27 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vter2k5qbj5yh4rv GET https://markdownregistry.com/api/v1/resolve?ref=devcodex-labs/devcodex/expert-output-quality GET https://markdownregistry.com/api/v1/blob/bf3030e293d6f8253bdaac3e3ab82c066d90d1fe2615030703f5353040dea7ee
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.