randomized-measurements SKILL.md skillA
randomized-measurements 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/randomized-measurements@git:20261012.5ce3b3ePins git:20261012.5ce3b3e 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/randomized-measurements/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261012.5ce3b3e, committed Oct 12, 2026
- First version recorded
- Sep 12, 2026
- Size
- 2,754 bytes
- Repository stars
- 71
- License
- MIT
由局部 Haar 随机测量估计小系统子区纯度，并与解析值比较。.
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
# RandomMeas 随机测量
<!-- BEGIN NATIVE SDK ACCESS -->
## 原生 SDK 路径
本能力同时支持 **RandomMeas.jl 的原生公开 API**。用户需要 用户量子态、测量数据、随机测量协议与估计函数 时，由 Agent 在固定依赖环境中编写和运行任务代码，不限于下文便捷 Tool 的预设模型。
使用 `node scripts/sdk-access.mjs inspect randomized-measurements` 定位环境，按[完整 SDK 工作流](../quantum-sdk-workbench/references/workflow.md)执行。模块导航：`RandomMeas`、`JSON3`；导航不是 API 白名单。
下文关于模型、门集、输入与预算的限制描述便捷 Tool 的合同；原生 SDK 另受上游版本、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 -->
Agent 经 Harness 调用 random_meas_local 提供的 `estimate_randomized_purity`。本 Skill 负责选择和解释，不启动计算进程。
product/GHZ 合成态；subsystem 从 0 编号，子区大小由输入决定。settings 和 shotsPerSetting 由输入决定。偏差校正后的有限样本估计可超出 [0,1]，不能截断。settingStandardError 来自独立随机设置，不是严格置信界；首版未导入实验测量数据。需要 Julia 1.12.7 和已准备的依赖。
输入示例：
```json
{
"numQubits": 3,
"state": "ghz",
"subsystem": [
0
],
"settings": 32,
"shotsPerSetting": 64
}
```
调用前确认用户问题落在上述范围内；参数含糊且会改变物理结果时先澄清。接口不接受代码、路径、凭据或真实硬件任务。
计算 worker 默认不设置时间或输出大小上限；部署可配置资源预算，取消会终止本次计算进程组。连接层超时与硬件环境配置见[资源配置](../../../docs/integrations/SCALABLE_BRIDGES.md)。
首次使用可能准备固定依赖或缓存，因此最大副作用为 workspace-write。工具未注册或连接已禁用时，检查设置中心；不要用通用执行工具绕过禁用。
…Read the whole file at its exact version.
How to install
mdr add xi-zhao/openquantum/randomized-measurements@sha256:b74af0120e4e02c7The line at the top of this page pins the label git:20261012.5ce3b3e, 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_bzhmk6esxytemlo2)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 12, 2026 and Oct 12, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261012.5ce3b3e latest | 2026-10-12 | 5ce3b3e | 2,754 B | A | view · diff |
| git:20260914.cc4fa9e | 2026-09-14 | cc4fa9e | 1,899 B | A | view · diff |
| git:20260912.2aa0707 | 2026-09-12 | 2aa0707 | 1,777 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 (2754 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_bzhmk6esxytemlo2 GET https://markdownregistry.com/api/v1/resolve?ref=xi-zhao/openquantum/randomized-measurements GET https://markdownregistry.com/api/v1/blob/b74af0120e4e02c77a40c4da3641272fcb110955a7f446962235ad6f4bab34f1
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.