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 lightworks-photonicsgit 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/lightworks-photonics)<a href="https://agentmods.dev/skills/xi-zhao/openquantum/lightworks-photonics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/lightworks-photonics/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/lightworks-photonics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/lightworks-photonics.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 | $0.00042 | $0.00660 |
| Opus 5.5 | $0.00017 | $0.00264 |
| Sonnet 5.5 | $0.00008 | $0.00132 |
| Haiku 4.5 | $0.00004 | $0.00066 |
Grade A, and why
lightworks-photonics 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
Lightworks 光子干涉
原生 SDK 路径
本能力同时支持 Lightworks 的原生公开 API。用户需要 PhotonicCircuit、自定义输入、计算任务、后端与误差模型 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 lightworks-photonics 定位环境,按完整 SDK 工作流执行。模块导航:lightworks;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。
Agent 经 Harness 调用 lightworks_local 的 simulate_lightworks_photonics。Skill 负责选择与解释,Tool 负责真实 SDK 执行。
inputOccupation[i] 为模式 i 的非负整数光子数,允许真空。operations 按时间排序,BS 使用两个不同模式与功率反射率 reflectivity,PS 使用单模式与 phaseRad。
BS 明确采用 Lightworks Rx 约定:矩阵 [[√r, i√(1−r)], [i√(1−r), √r]];平衡分束器 r=0.5。PS 乘以 exp(i*phaseRad)。不要将这里的反射率与 Perceval 的 Hadamard 角度直接互换。
输出每个固定总光子数 Fock 态的复振幅和概率;unitary[row][column] 为输入列到输出行的 [real,imag]。先检查 totalProbability,用双光子 HOM 抑制符合项确认干涉约定,再解释一般网络。
只模拟完全不可区分光子、无损无源网络;无源纯度、探测器噪声、损耗、后选择、云或硬件接口。完整 Fock 输出空间随规模组合增长。
固定依赖需显式执行 node scripts/setup-paper-tools.mjs lightworks-photonics;调用时不安装依赖,数值库可能写入本地缓存。规模参数不按开发机算例设人工上限;通过独立的 execution 选择部署资源。
当前为 L1,scientificValidation=not_evaluated。成功执行与工程回归不代表科学 Acceptance。
What ships with it
7 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 5f9766afd92a
- 18d ago First seen · 23 lines · 42 tokens per session scan A 223fa8d02a37
lightworks-photonics is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 660 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 2026-09-29.
Other skills, from other repositories
academic-research
Search academic papers, scholarly articles, and research publications through SandBase. Use when asked for literature review, academic citations, scholarly research, paper discovery, or scientific evidence gathering.
rhylthyme
Schedule multi-step procedures that a person carries out against a clock, with parallel tracks, shared equipment and steps that end when the person says so. Use when turning a lab protocol, recipe, event run sheet or workout into a timed plan; when several procedures must share one instrument (one centrifuge, one…
memory-search-mcp
Long-term memory and context retrieval for AI agents. Semantic search across conversation history with care-weighted relevance.
gc-minimal-zine-poster-v0-3
Generate or analyze poetic paper-texture minimal zine posters with large negative space, a small editorial collage or focal element, experimental typography, and one clear color accent. Use when the user gives a theme, sentence, article, mood, object, photo, content brief, reference images, or an image folder and…
ask-sonner
Guide to Sonner, the React toast library — install and wire up the Toaster, pick the right toast() call, promise and loading toasts, updating, dismissing and persisting toasts, styling, theming and icons, positioning and multiple toasters. Use when working with Sonner or troubleshooting it — toasts that don't appear…
kill-ai-slop
Find and remove AI slop — the generic, machine-default visual and copy tics of vibe-coded products — from a web project. Use when the user asks to "kill AI slop", "de-slop", "remove the AI look", "make this not look AI-generated", or clean up a landing page / UI / docs that feels templated. Detects and fixes the…