emlint-dem-audit SKILL.md skillA
emlint-dem-audit from xi-zhao/openquantum is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add xi-zhao/openquantum/emlint-dem-audit@git:20261029.b61165cPins git:20261029.b61165c in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- xi-zhao/openquantum
- Path
.agents/skills/emlint-dem-audit/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261029.b61165c, committed Oct 29, 2026
- Size
- 5,783 bytes
- Repository stars
- 71
- License
- MIT
用 emlint 检查 Stim detector error model 的结构，定位无 syndrome 的逻辑翻转、重复机制与模型连接问题，保留反例、上下文和不完整检查状态；适用于纠错仿真前的 DEM 排查，不证明码距或解码正确性。.
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
# 纠错 DEM 静态诊断 <!-- BEGIN NATIVE SDK ACCESS --> ## 原生 SDK 路径 本能力使用 **emlint 的原生公开 API**。用户需要 Stim DEM 结构诊断、反例、profile 上下文和不完整检查披露 时，由 Agent 在固定依赖环境中编写和运行任务代码。 使用 `node scripts/sdk-access.mjs inspect emlint-dem-audit` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`emlint`、`stim`；导航不是 API 白名单。 固定 emlint 0.2.4；beta 结构诊断不证明电路或解码正确。保留 warning、skipped、inconclusive、vacuous 与输入失败，不自动修模型。 本入口复用宿主文件与代码工具，没有新增通用执行 Tool。原生 SDK 受上游版本、可选依赖、宿主资源与用户授权约束。已禁用或被拒绝的动作不能借代码路径绕过。执行状态和科研验收分别报告。 <!-- END NATIVE SDK ACCESS --> ## 选择与准备 用户要排查 DEM 的机制、detector 或 observable 关系时使用本 Skill。模型生成、采样和解码继续由 Stim/PyMatching、Chromobius、Tesseract 等能力处理；lint 不是这些动作的强制前置门禁。 通过 SDK 工作台显式准备固定 `emlint==0.2.4`、`stim==1.16.0` 的 Python 3.12 环境。 准备会下载依赖和写入文件；执行使用 inspect 返回的 Python，不隐式安装、不改用户环境。 DSH/Codex 共用此 Skill 和宿主代码工具，没有新增 Tool、MCP Server 或 Runtime。 ## 工作流 1. 保存原始电路/DEM、生成参数、版本与文件 SHA-256。记录 detector/observable 的预期数量、 circuit role、syndrome 是否完整、解码器及 DEM 拼接/分解方式；未知信息明确写未知。 2. 在固定环境使用公开 `emlint.check(stim.DetectorErrorModel(text), checks=..., profile=..., context=...)` 或 `emlint check`。文件输入优先用 `pathlib.Path`，避免字符串被误当文件路径。 …
Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/emlint-dem-audit@sha256:e2403f64411105ecThe line at the top of this page pins the label git:20261029.b61165c, 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_3zsogqg5bxo2zu65)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Oct 29, 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 (5783 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
xi-zhao/openquantum · 71 stars · license MIT · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3zsogqg5bxo2zu65 GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/emlint-dem-audit GET https://markdownregistry.com/api/v1/blob/e2403f64411105ecee80dac456d53ab7292640cdeafa9862b65c0cf690d8e007
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.