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 openqarp-excited-statesgit 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/openqarp-excited-states)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/openqarp-excited-states"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/openqarp-excited-states/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/openqarp-excited-states"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/openqarp-excited-states.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 | $0.00047 | $0.00612 |
| Opus 5.5 | $0.00019 | $0.00245 |
| Sonnet 5.5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
openqarp-excited-states 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
OpenQARP
原生 SDK 路径
本能力同时支持 OpenQARP 的原生公开 API。用户需要 自定义算符、ansatz、引擎、优化器与算法对象 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 openqarp-excited-states 定位环境，按完整 SDK 工作流执行。模块导航：qarp；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。
相近入口、后端准备与位序差异按共同选择说明判断。
确认 Hermitian 实系数 Pauli Hamiltonian（最左字符 q0，q0 是最低有效位）、所求态数、复数 HEA 层数和迭代预算，调用 solve_openqarp_vqd。自动 penalty 严格高于保守谱宽。态保持 deflation 顺序，不通过排序掩盖重复态或激发态错误。
同时查看 optimizer.success/message、独立重算能量、残差方差、态间重叠和可选精确谱。优化器成功不是正确激发态的证明；失败也不自动意味着能量误差大。referenceMode=skip 仅跳过精确谱，独立态/Pauli重算仍执行。
资源由用户选择，通过 execution.timeoutMs、maxOutputBytes、threads 控制进程；依赖须显式准备；计算仍可能写 SDK 缓存，保留 workspace-write。不要把执行成功或参考相符写成最终科学验收。安装、来源与示例见 候选库接入说明。
依赖准备
运行前执行 node scripts/setup-paper-tools.mjs openqarp-excited-states。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 23252982cc95
- 22d ago Changed · +6 lines 10d70443c837
- 26d ago First seen · 13 lines · 47 tokens per session scan A 9a8064cbfbdf
openqarp-excited-states is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 612 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 2026-09-21.
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