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 quantum-guide-algorithms-primitivesgit 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/quantum-guide-algorithms-primitives)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/quantum-guide-algorithms-primitives"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quantum-guide-algorithms-primitives/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/quantum-guide-algorithms-primitives"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quantum-guide-algorithms-primitives.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 | $0.00035 | $0.00719 |
| Opus 5.5 | $0.00014 | $0.00288 |
| Sonnet 5 | $0.00007 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
quantum-guide-algorithms-primitives 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
algorithms/primitives
本地开源适配。上游指南 ID：algorithms/primitives。
分类导航：保留用户显式调用；自动任务直接选择叶子方法 Skill，或使用 quantum-algorithms 查找。
选择工作流
按用户的数学问题、输入表示、计算规模和需要的输出选择一个叶子 Skill。知识解释可直接使用原理；计算任务加载叶子 Skill，使用其中的开源实现和现有代码执行 Tool。无需为阅读指南启动额外服务。
- quantum-amplitude-amplification：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
- quantum-amplitude-estimation：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
- quantum-grover：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
- quantum-hadamard-test：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
- quantum-hadamard-transform：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
- quantum-qpe：使用 Qiskit 的显式量子电路，保留输入、方法参数、实际概率或态矢量；模拟器全态读取不代表硬件可高效读取。
全量条目见覆盖表。如果用户描述跨领域，按实际依赖组合相关叶子 Skill；不要要求用户先阅读整条目录链。
来源与边界
上游 MIT 指南：algorithms/primitives。原文作为参考保存在固定检索库，本文件将执行路线改为开源 SDK。来源摘要和算法模块对应关系见coverage.json，许可证与改动说明见NOTICE。
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 First seen · 30 lines · 35 tokens per session scan A c5f1fbe3b860
quantum-guide-algorithms-primitives is a skill published in the GitHub repository xi-zhao/OpenQuantum (74 stars, last pushed 2d ago), licensed MIT. It adds 35 tokens to every session and 719 once invoked, about $0.0001 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 2026-09-25.
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