Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add xi-zhao/OpenQuantum --skill oqupy-dynamicsgit 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/oqupy-dynamics)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/oqupy-dynamics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/oqupy-dynamics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/oqupy-dynamics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/oqupy-dynamics.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00046 | $0.00795 |
| Opus 5.5 | $0.00018 | $0.00318 |
| Sonnet 5.5 | $0.00009 | $0.00159 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
oqupy-dynamics 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 4d ago.
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
OQuPy 环境记忆动力学
原生 SDK 路径
本能力同时支持 OQuPy 的原生公开 API。用户需要 自定义 System、Bath、相关函数、TEMPO、process tensor 与控制 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 oqupy-dynamics 定位环境，按完整 SDK 工作流执行。模块导航：oqupy；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。
调用 Harness 注册的 oqupy_local.simulate_oqupy_spin_boson。用于需要环境记忆的两能级模型；纯 Markovian Lindblad 参数扫描可使用 Dynamiqs。
模型为 H=(tunneling X+bias Z)/2，系统与环境的耦合算符为 Z/2，J(w)=2 alpha w exp(-w/cutoff)，hbar=kB=1。初态是用户所选计算基态/激发态/plus 与热 Gaussian bath 的因子化状态；这些标签不是相互作用系统的平衡态。
- 先明确频率、温度和时间的同一单位体系。步数、环境记忆步数、耦合强度和时长由输入决定；记忆步数不能超过演化步数。
memoryTime = memorySteps * duration / steps。减小时间步长时要相应增大 memorySteps 才能保持同一物理记忆；若资源边界不允许，明确说明无法进行该收敛比较。- 用独立的记忆长度扫描判断记忆截断影响，再看时间网格与 SVD 截断。固定
epsrel=1e-7不是观测量误差上界。 - 读取 Bloch 轨迹、迹误差和最小本征值；有限记忆 TEMPO 不能自动宣称数值收敛、精确解或科学验收。
- 本能力为 L1，
scientificValidation=not_evaluated。依赖须显式准备；计算可能写缓存；独立环境保留 OQuPy 所需 NumPy 1.x。
安装、范围和解析对照见 接入说明。
spin-boson 模型的演化时间、时间网格和记忆长度由调用方选择，适配器不额外设置人工规模上限。具体资源配置见本地计算说明。
依赖准备
运行前执行 node scripts/setup-paper-tools.mjs oqupy-dynamics。缺失、旧锁和已安装环境的处理见共同准备说明；Tool 不自动安装或升级依赖。
What ships with it
5 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.
- 4d ago Changed · +11 lines 49612e6a3392
- 22d ago Changed · +4 lines 3b214ec710ec
- 1mo ago First seen · 21 lines · 46 tokens per session scan A d90a057f60cc
oqupy-dynamics is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 795 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-15.
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