qutip

qutip is a skill for Claude Code, Codex from K-Dense-AI/scientific-agent-skills. It costs 55 tokens per session (3,761 once invoked), scanned A, original, MIT.

A Python toolkit for simulating finite quantum systems, such as quantum optics models, over time or at steady state. It can also check whether the model's assumptions, dimensions, and numerical results are sound.

In plain words
What is it for?
Use it to model quantum dynamics, open systems with environmental effects, quantum trajectories, spectra, and phase-space behaviour on a local computer.
Why use it?
Quantum simulations can give misleading results when the physical setup or numerical settings are wrong. This helps make those choices explicit and check whether calculations have converged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to model quantum dynamics, open systems with environmental effects, quantum trajectories, spectra, and phase-space behaviour on a local computer.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agent-skills/qutip
About the project

Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.

K-Dense-AI/scientific-agent-skills · 44,220 stars · on GitHub · arxiv.org

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 K-Dense-AI/scientific-agent-skills --skill qutip
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

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 qutip

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/qutip/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/qutip)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/qutip"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/qutip/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 qutip

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/qutip"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/qutip.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,761 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. Third-party audits
  • Socket pass 9 Apr 2026
  • Snyk pass 9 Apr 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.03761
Opus 5 $0.00028 $0.01880
Sonnet 5 $0.00011 $0.00752
Haiku 4.5 $0.00006 $0.00376

Measured 8d ago against content hash df46feb9e92c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

qutip 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 8d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/_common.py, scripts/convergence_sweep.py, scripts/qobj_model_validator.py, …), 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.

skills/qutip/SKILL.md · 335 lines

How it starts

The opening of the file, as written. The whole thing — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.

QuTiP 5

Scope

Use QuTiP for finite-dimensional quantum mechanics, quantum optics, Lindblad dynamics, trajectories, weak-coupling Bloch-Redfield models, and specialized Floquet, HEOM, and permutational-invariance methods. It is not a hardware execution SDK. Circuit and control functionality moved to separate QuTiP family packages.

This skill targets QuTiP 5.3.0, released 2026-05-22. QuTiP 5.3 requires Python 3.11 or newer. Its required distributions are NumPy (>=1.23.2), SciPy (>=1.9.2, excluding 1.16.0 and 1.17.0), and packaging.

Reproducible uv snapshot

Create a dedicated environment and pin every direct distribution:

uv venv --python 3.11
uv pip install "qutip==5.3.0"

For plots:

uv pip install "qutip[graphics]==5.3.0"

Optional QuTiP family packages are independently versioned:

uv pip install "qutip-qip==0.4.2"
uv pip install "qutip-qtrl==0.2.0"
uv pip install "qutip-jax==0.1.1"
  • qutip-qip 0.4.2 (2026-06-23) is the production/stable circuit, gate, and noisy-device simulation package. Import from qutip_qip, not qutip.qip.
  • qutip-qtrl 0.2.0 (2026-06-23) provides GRAPE and CRAB quantum optimal control. It is not a trajectory viewer. Import from qutip_qtrl, not qutip.control; PyPI still classifies it pre-alpha.
  • qutip-jax 0.1.1 (2025-05-29) is the official JAX data backend for GPU and automatic-differentiation experiments. It is explicitly pre-alpha.
  • qutip-cupy is an official QuTiP-organization repository, but it has no PyPI release and its own README says it is not officially released. Do not put an unreleased Git install into a reproducible workflow.

Use a project lockfile or a hash-generating uv pip compile workflow when transitive dependency identity must also be frozen.

Non-negotiable model contract

Before solving, record:

  1. Units and convention. QuTiP equations normally set (\hbar=1). Hamiltonian entries are angular frequencies and rates have reciprocal-time units. Convert cyclic frequency with (2\pi f); never mix Hz and rad/s.
  2. Subsystem order. tensor(A, B, C) fixes subsystem indices 0, 1, 2. Preserve that order in every state, operator, collapse channel, and partial trace. obj.ptrace([0, 2]) keeps those subsystems; it does not trace them.
  3. State validity. Check ket norm or density-matrix Hermiticity, unit trace, and eigenvalues above a stated negative tolerance. Tiny negative values may be numerical; material negativity invalidates a claimed state.
  4. Generator meaning. A Lindblad channel with rate gamma is represented by sqrt(gamma) * A, not gamma * A. Define what each rate measures. For example, sqrt(gamma_phi / 2) * sigmaz() gives coherence decay exp(-gamma_phi * t).
  5. Approximations. State rotating-wave, Born-Markov, secular, weak-coupling, bath-equilibrium, truncation, symmetry, and initial-factorization assumptions wherever used.
  6. Numerics. Justify Hilbert truncation, output grid, integration method, tolerances, trajectory count, and random seeds. Report result.stats.
  7. Convergence. Sweep every artificial cutoff: Fock dimension, time/frequency window and spacing, ODE tolerances, trajectories, Floquet harmonics, HEOM depth and bath exponents, or PIQS representation as applicable.

Read the full file on GitHub · 335 lines

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. 8d ago First seen · 335 lines · 55 tokens per session scan A df46feb9e92c

Subscribe to this mod's changes

qutip is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,220 stars, last pushed 4d ago), licensed MIT. It adds 55 tokens to every session and 3,761 once invoked, about $0.0003 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 2026-09-03.

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