Borrowing it
Nothing to install: this file belongs to xi-zhao/OpenQuantum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xi-zhao/OpenQuantum/main/.agents/skills/qec-memory-experiment/SKILL.mdgit clone --depth 1 https://github.com/xi-zhao/OpenQuantumWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/xi-zhao/openquantum/qec-memory-experiment)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/qec-memory-experiment"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/qec-memory-experiment.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00119 | $0.00689 |
| Opus 5 | $0.00060 | $0.00345 |
| Sonnet 5 | $0.00024 | $0.00138 |
| Haiku 4.5 | $0.00012 | $0.00069 |
Grade A, and why
qec-memory-experiment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
QEC Memory Experiment
核心对象
核心对象是一份可重放的 surface-code memory 实验配置：basis、code distance、rounds、shots、统一物理错误率和 seed。Stim 生成并采样电路，PyMatching 从 detector error model 构建 MWPM 解码器。
固定边界：
basis:x或z；distance: 奇数 3、5、7；rounds: 1–20；shots: 100–50,000；physicalErrorRate: 0–0.05；seed: 0–2^32-1。
统一错误率同时用于 Clifford 后退极化、每轮数据退极化、测量翻转和 reset 翻转。这是版本化实验 profile，不代表某台真实 QPU 的校准模型。
工作流
- 选择 basis、distance、rounds、shots、physicalErrorRate 和显式 seed。
- 调用
run_qec_memory_experiment。主动作加载固定环境并返回packages；首次调用可能下载依赖并写入工作区环境，无需单独检查运行时。 - 报告实际包版本、电路/DEM 摘要与 SHA-256、逻辑错误数、逻辑错误率、标准误和 Wilson 95% 区间。
- 检查 observations：实验摘要、seed、计数恒等式、错误率重算、区间边界、零噪声不变量、来源链。
- 比较多组实验时，每组都保留固定 shots 与 seed 策略；不要选择性丢弃失败点。环境不可用时报告工具错误，不编造结果。
解释规则
- 零逻辑错误不等于真实错误率为零，必须同时报告 shots 和 Wilson 区间。
- 单个 distance、单个物理错误率的结果不能证明 threshold。
- 不同 distance 的比较必须使用同一噪声 profile 和可比 shots。
physicalErrorRate是模拟器参数，不是硬件校准事实。- 工具完成只产生
observations_available；Result Package 和 Session Event Log 未物化时，不宣称最终科学验收通过。
输出格式
- 固定实验配置和包版本；
- code task、电路/DEM 规模与摘要；
- 逻辑错误数/率、标准误、Wilson 95% 区间；
- validation observations；
- 明确写出不能支持的 threshold 与硬件结论。
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed · -1 lines c87d234d0077
- 7d ago First seen · 47 lines · 119 tokens per session scan A 0c74fe1002a1
qec-memory-experiment is a skill published in the GitHub repository xi-zhao/OpenQuantum (48 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 689 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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