Borrowing it
Nothing to install: this file belongs to xi-zhao/OpenQuantum. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xi-zhao/OpenQuantum/main/.agents/skills/fieldqkit-hardware/SKILL.mdgit 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/fieldqkit-hardware)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/fieldqkit-hardware"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/fieldqkit-hardware/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/fieldqkit-hardware"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/fieldqkit-hardware.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00094 | $0.00535 |
| Opus 5 | $0.00047 | $0.00267 |
| Sonnet 5 | $0.00019 | $0.00107 |
| Haiku 4.5 | $0.00009 | $0.00053 |
Grade A, and why
fieldqkit-hardware 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
FieldQKit Hardware
工作流
- 先调用
inspect_fieldqkit_setup，确认目标 Provider 的凭证是否已在 OpenQuantum 设置中心配置。 - 凭证缺失时，明确告诉用户前往“设置中心 → 量子组件 → 安全凭据”；不要索要或回显 Token。
- 需要选择硬件时调用
discover_fieldqkit_backends，传入最小量子位数和可选芯片偏好。 - 把返回的 Provider、芯片名、量子位数、耦合拓扑和校准摘要作为事实解释，不推断未返回的可用性、成本或排队时间。
- 当前两个 MCP-exposed Tool 不会改变云端状态或提交任务；首次后端发现可能由
uv在工作区物化固定 Python 环境并访问所选云端，因此其最大副作用声明为workspace-write，不能称为端到端read-only。 - 不要通过 Bash、Python 或其他 Tool 绕过它们提交真实量子任务。
边界
- 复用 DeepSeek Harness 的 Skill Registry、Harness MCP Client、凭据库和 Session，不创建独立 Runtime。
- 本 Skill 不读取凭据值；FieldQKit MCP Server 仅能看到 Harness 注入的环境变量，并只返回“已配置/未配置”。
- 远程后端发现可能访问量子云；失败时保留 Provider 的原始错误语义，但不得泄露请求头或 Token。
- 真实 QPU 提交、取消、付费任务和数据外发尚未开放。后续必须通过 Harness 审批与可审计 Tool 才能增加。
- Qiskit 电路分析与转译优先使用
qiskit-circuit-workbench；严格二量子位基态验收使用quantum-ground-state。
Provider 与凭据对应关系见 references/providers.md。
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 · +1 lines 3fd828422cb9
- 9d ago First seen · 25 lines · 94 tokens per session scan A 0228e609398d
fieldqkit-hardware is a skill published in the GitHub repository xi-zhao/OpenQuantum (49 stars, last pushed 2d ago), licensed MIT. It adds 94 tokens to every session and 535 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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