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 pyzx-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/pyzx-optimization)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/pyzx-optimization"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/pyzx-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/pyzx-optimization"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/pyzx-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 | $0.00044 | $0.00768 |
| Opus 5.5 | $0.00018 | $0.00307 |
| Sonnet 5.5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
pyzx-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
PyZX 电路优化
原生 SDK 路径
本能力同时支持 PyZX 的原生公开 API。用户需要 Circuit、Graph、重写策略、提取、优化与等价性流程 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 pyzx-optimization 定位环境，按完整 SDK 工作流执行。模块导航：pyzx；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。
当用户需要减少 Clifford+T 电路的门开销、研究 ZX 重写或比较等价实现时，调用 Harness 注册的 pyzx_local.optimize_pyzx_circuit。
- 提交
numQubits和结构化gates：支持 H、S、T、X、Y、Z、CX、CZ，量子位数与门数由输入决定。CX 的 targets 为控制位、目标位；不接受动态电路、测量或任意 QASM 输入。 - 先明确比较目标是 T-count、双量子位门数还是总门数；三项可能此消彼长。报告 before/after 的实际值，不承诺每项都会改善。
- Tool 返回输入和优化后的 OpenQASM 2，可按 referenceMode 独立构造完整酉矩阵，忽略整体相位比较。提取保留量子位排列；实际执行参考且发现不等价时，调用失败。
- Y 在输入 QASM 中展开为 X 后接 Z，整体相位不影响此处合同；before 统计的是展开后的 PyZX 电路。QASM 可继续交给已有 QCEC 工具检查；本能力不做硬件映射。
- 当前 L1，
scientificValidation=not_evaluated；依赖须显式准备；计算可能写本地缓存。
版本、准备命令、数值检查和限制见接入说明。
独立参考使用 referenceMode=auto|required|skip：auto 按默认阈值选择参考，required 使用调用方资源尝试所请求规模，skip 跳过。未执行时 reference.status=not_run，参考值和差异为 null；尝试后失败会返回错误。
电路量子位数和门数由调用方选择，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 pyzx-optimization。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 6f81afba63b2
- 22d ago Changed · +4 lines 690e0c112e33
- 1mo ago First seen · 21 lines · 44 tokens per session scan A 026404198165
pyzx-optimization is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 44 tokens to every session and 768 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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