tjm-dynamics

tjm-dynamics is a skill for Claude Code, Codex from xi-zhao/OpenQuantum. It costs 29 tokens per session (867 once invoked), scanned A, original, MIT.

A simulation of an open quantum spin chain using random quantum-jump trajectories, compared with a density-matrix evolution. An open system is one that can exchange information or energy with its surroundings.

In plain words
What is it for?
Use it to simulate a 2–6-qubit chain from the all-zero state and examine its time-dependent dynamics and sampling errors.
Why use it?
It lets you compare a trajectory-based approximation with a direct reference evolution for a small system. The reported errors cover trajectory sampling, not time-step or tensor-truncation error.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to simulate a 2–6-qubit chain from the all-zero state and examine its time-dependent dynamics and sampling errors.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xi-zhao/openquantum/tjm-dynamics
Install

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.

Any agent
npx skills add xi-zhao/OpenQuantum --skill tjm-dynamics
Clone the repo
git clone --depth 1 https://github.com/xi-zhao/OpenQuantum

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for tjm-dynamics

README.md
[![agentmods](https://agentmods.dev/badge/skills/xi-zhao/openquantum/tjm-dynamics/github.svg)](https://agentmods.dev/skills/xi-zhao/openquantum/tjm-dynamics)
Your own site
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/tjm-dynamics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/tjm-dynamics/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.

agentmods 80×15 button for tjm-dynamics

Your own site · 80×15
<a href="https://agentmods.dev/skills/xi-zhao/openquantum/tjm-dynamics"><img src="https://agentmods.dev/badge/skills/xi-zhao/openquantum/tjm-dynamics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 867 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00029 $0.00867
Opus 5.5 $0.00012 $0.00347
Sonnet 5.5 $0.00006 $0.00173
Haiku 4.5 $0.00003 $0.00087

Measured 4d ago against content hash b319aa06e8d3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tjm-dynamics 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.

The scan reads SKILL.md. This mod also ships 3 executable files (mcp/bridge.py, mcp/contracts.mjs, mcp/server.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/tjm-dynamics/SKILL.md · 48 lines

What it actually says

TJM 开放系统动力学

原生 SDK 路径

本能力同时支持 MQT YAQS 的原生公开 API。用户需要 自定义 MPS/MPO、电路、噪声模型、时间演化与张量跳跃 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 tjm-dynamics 定位环境,按完整 SDK 工作流执行。模块导航:mqt.yaqs;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 tjm_local 提供的 simulate_tjm_dynamics。本 Skill 负责选择和解释,不启动计算进程。

至少 2 个量子位、初态全零、开放链。H = -J ΣZZ - g ΣX,跳跃算符 sqrt(gamma)|0><1|,hbar=1。时间与速率用一致单位。量子位数、时间网格、轨迹数与 bond dimension 由输入决定;standardErrors 仅含有限轨迹抽样误差,不含步长与张量截断偏差。无随机跳跃时标准误为零;含噪声但只有一条轨迹时,返回 standardErrors=null 和 standardErrorStatus=insufficient_trajectories。

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。

输入示例:

{
  "numQubits": 3,
  "steps": 10,
  "trajectories": 32
}

调用前确认用户问题落在上述范围内;参数含糊且会改变物理结果时先澄清。接口不接受代码、路径、凭据或真实硬件任务。 计算 worker 默认不设置时间或输出大小上限;部署可配置资源预算,取消会终止本次计算进程组。连接层超时与硬件环境配置见资源配置。 计算前显式准备固定依赖;运行仍可能写 SDK 缓存,因此保留 workspace-write。工具未注册或连接已禁用时,检查设置中心;不要用通用执行工具绕过禁用。 依赖尚未准备时按仓库文档运行 npm run capability:paper-tools:setup;不要自行改版本或扩大输入边界来绕过失败。

所有结果保留完整输入、输入摘要、上游版本和依赖锁摘要。报告实际数值、物理假设、误差与限制; scientificValidation=not_evaluated,比较数据不构成中央科学验收。失败时说明真实原因,不补造数据。

来源与接入范围见 论文能力说明。

依赖准备

运行前执行 node scripts/setup-paper-tools.mjs tjm-dynamics。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。

Files

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.

Changes

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.

  1. 4d ago Changed · +11 lines b319aa06e8d3
  2. 22d ago Changed · +4 lines b4d7af141e1d
  3. 1mo ago Changed · +2 lines d1edeb6c1268
  4. 1mo ago First seen · 31 lines · 29 tokens per session scan A c0ef7fba8325

Subscribe to this mod's changes

tjm-dynamics is a skill published in the GitHub repository xi-zhao/OpenQuantum (75 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 867 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 2026-09-13.

Related

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.

sandbaseai/sandbase-skills · 39 tokens

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…

rhylthyme/rhylthyme-mcp · 167 tokens

memory-search-mcp

Long-term memory and context retrieval for AI agents. Semantic search across conversation history with care-weighted relevance.

CSOAI-ORG/memory-search-mcp · 0 tokens

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…

stvlynn/dsh.fish · 100 tokens

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…

stvlynn/dsh.fish · 97 tokens

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…

stvlynn/dsh.fish · 249 tokens