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-sdk-workbenchgit 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-sdk-workbench)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/quantum-sdk-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quantum-sdk-workbench/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-sdk-workbench"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/quantum-sdk-workbench.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 | $0.00125 | $0.00531 |
| Opus 5.5 | $0.00050 | $0.00212 |
| Sonnet 5.5 | $0.00025 | $0.00106 |
| Haiku 4.5 | $0.00013 | $0.00053 |
Grade A, and why
quantum-sdk-workbench 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
原生 SDK 工作台
用户提出计算或程序实现任务时，Agent 负责完成代码、执行、调试和工件交付。不能只让用户自行转到 Python 或 Notebook。
- 从
node scripts/sdk-access.mjs list选择项目；inspect <sdk-id>返回绝对解释器路径、锁摘要、准备命令、模块导航与已知条件。inventory包括现有 Tool、依赖组与每个固定版本。命令只读，不安装、不导入 SDK、不执行用户程序。 - 按原生 SDK 工作流完成任务。先核实所需 API 在已安装版本中的公开文档与签名，再在用户工作区构造模型和算法；便捷 Tool 的示例不是功能白名单。
- 在宿主已有的文件和代码执行 Tool 中使用返回的解释器，工作目录设为用户项目。资源预算、长任务、取消和恢复由宿主管理；不要新建执行服务或隐藏后台进程。
- 保存源代码、输入、完整输出、日志、依赖锁摘要和可复现命令。执行状态与科学结论分开；没有 central Acceptance Builder 证据时，
scientificValidation=not_evaluated。
prepared 只说明解释器与环境标记匹配锁，不代表所有模块已验证。可选组件、外部服务、GPU、设备驱动和许可需要逐项核实。不得因为 Tool 未启用、审批被拒绝或凭据缺失而借代码路径绕过用户选择。
默认使用已准备环境。任务需要而环境缺失时，按已有授权运行显式 setup；不要在计算时自动安装依赖。原生代码的副作用由代码实际行为决定，不能继承只读 Tool 的声明。
What ships with it
2 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 First seen · 18 lines · 125 tokens per session scan A 9b64f8e4b434
quantum-sdk-workbench is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 125 tokens to every session and 531 once invoked, about $0.0005 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 2026-10-13.
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