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 ocean-optimizationgit 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/ocean-optimization)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/ocean-optimization"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/ocean-optimization/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/ocean-optimization"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/ocean-optimization.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 | $0.00041 | $0.00821 |
| Opus 5.5 | $0.00016 | $0.00328 |
| Sonnet 5.5 | $0.00008 | $0.00164 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
ocean-optimization 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
Ocean QUBO 与 Ising 本地采样
原生 SDK 路径
本能力同时支持 D-Wave Ocean SDK 的原生公开 API。用户需要 BQM、CQM、离散模型、变量、约束、sampler 与 SampleSet 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 ocean-optimization 定位环境，按完整 SDK 工作流执行。模块导航：dimod、dwave.samplers、dwave.system、dwave.cloud、dwave.optimization；导航不是 API 白名单。
完整 Ocean 元包已进入依赖锁；本地模型、采样器与云客户端共享原生 API。连接 Leap、提交收费或 QPU 作业仍需用户授权与凭据。
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。
Agent 经 Harness 调用 ocean_local 提供的 sample_ocean_model。本 Skill 负责模型选择和结果解释，Tool 在独立 Python 环境执行真实上游 SDK。
输入 linear[i]、quadratic=[{i,j,bias}] 与 offset；双变量项禁止重复或 i=j。能量为 offset + sum(linear[i]*v_i) + sum(bias*v_i*v_j)。
vartype=BINARY 使用 0/1，SPIN 使用 -1/+1；两者按 s=2*x-1 转换。输出 binaryModel 和 spinModel 均包含完整 offset，不可在比较能量时丢弃常数项。
method=exact 使用 dimod.ExactSolver，穷举 2^N 配置。method=simulated_annealing 使用 dwave.samplers.SimulatedAnnealingSampler；调用方选择 numReads、numSweeps 和 32 位有符号非负 seed。这些参数仅影响模拟退火，结果按样本聚合；numOccurrences 总和等于 numReads。
两种方法均是本地经典 CPU 计算。模拟退火找到的 minimumEnergyFound 不是最优性证书，exhaustive=false 时不得宣称全局最优。本接入没有 Leap、云混合求解器或量子退火硬件。
计算规模由调用方选择，后端数值表示限制仍适用。资源限制用 execution 设置，与模型参数分开。先运行 node scripts/setup-paper-tools.mjs ocean-optimization 显式准备固定依赖；计算调用不安装依赖或联网，数值库可能写本地缓存。
固定上游版本：dimod 0.12.22 + dwave-samplers 1.8.0；来源与许可见上游仓库（Apache-2.0）。本地数值和协议检查属于开发证据；当前 L1，scientificValidation=not_evaluated，成功执行不等于最终科学 Acceptance。
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.
- 4d ago Changed · +13 lines dac956f97e87
- 19d ago First seen · 21 lines · 41 tokens per session scan A 7b58bb416af4
ocean-optimization is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 821 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 2026-09-28.
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