qiskit

qiskit is a skill for Claude Code, Codex from agentlas-ai/agentlas-desktop. It costs 75 tokens per session (2,869 once invoked), scanned A, a copy of qiskit, Apache-2.0.

A Python toolkit for creating and running quantum circuits. It can simulate circuits locally and submit compatible circuits to IBM Quantum hardware through IBM’s cloud service.

In plain words
What is it for?
It is for building circuits and operators, sampling or estimating results, simulating ideal or noisy systems, preparing circuits for IBM processors, and running them through IBM Quantum Runtime.
Why use it?
Quantum programs must be adapted to the instructions and limits of a chosen simulator or quantum processor. This toolkit provides circuit construction, hardware-aware translation, execution, and error-mitigation workflows.

Skill for Claude CodeCodex

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

Good fit It is for building circuits and operators, sampling or estimating results, simulating ideal or noisy systems, preparing circuits for IBM processors, and running them through IBM Quantum Runtime.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agentlas-ai/agentlas-desktop/qiskit
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 agentlas-ai/agentlas-desktop --skill qiskit
Clone the repo
git clone --depth 1 https://github.com/agentlas-ai/agentlas-desktop

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 qiskit

README.md
[![agentmods](https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/qiskit/github.svg)](https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/qiskit)
Your own site
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/qiskit"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/qiskit/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 qiskit

Your own site · 80×15
<a href="https://agentmods.dev/skills/agentlas-ai/agentlas-desktop/qiskit"><img src="https://agentmods.dev/badge/skills/agentlas-ai/agentlas-desktop/qiskit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,869 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 100% copy Near-identical to another mod 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 $0.00075 $0.02869
Opus 5.5 $0.00030 $0.01148
Sonnet 5.5 $0.00015 $0.00574
Haiku 4.5 $0.00007 $0.00287

Measured 1mo ago against content hash ecce52d2f699, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

qiskit 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 1mo ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/check_environment.py, scripts/inspect_runtime.py, scripts/run_local_primitives.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.

Origin

This is a copy

100% identical to qiskit — 35 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/agentlas-science-skills/skills/qiskit/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Qiskit

Use current Qiskit 2.x APIs to build circuits, prepare hardware-compatible instruction set architecture (ISA) circuits, and execute them through V2 primitives.

This skill was verified on 2026-07-23 against the PyPI releases qiskit==2.5.0, qiskit-ibm-runtime==0.48.0, and qiskit-aer==0.17.2. Check references/sources.md before changing pins or documenting newly released behavior.

Choose the Right Path

Goal Recommended interface
Exact local sampling qiskit.primitives.StatevectorSampler
Exact local expectation values qiskit.primitives.StatevectorEstimator
High-performance or noisy simulation Qiskit Aer
IBM QPU sampling qiskit_ibm_runtime.SamplerV2
IBM QPU expectation values and mitigation qiskit_ibm_runtime.EstimatorV2
Backend without native primitives BackendSamplerV2 or BackendEstimatorV2
Open-system or master-equation dynamics Prefer QuTiP
Differentiable quantum machine learning Prefer PennyLane unless Qiskit integration is required

Installation

Create an isolated environment and install only the components needed:

uv venv --python 3.13
source .venv/bin/activate

# Core SDK plus plotting support
uv pip install "qiskit[visualization]==2.5.0"

# Add only when needed
uv pip install "qiskit-ibm-runtime==0.48.0"
uv pip install "qiskit-aer==0.17.2"

Do not install qiskit-terra; it was superseded by the qiskit distribution. Qiskit Runtime, Aer, Nature, Machine Learning, Optimization, and Algorithms are separate distributions.

For IBM account setup, CI-safe credential handling, optional packages, and environment repair, read references/setup.md.

Core Workflow

Follow this sequence for every hardware-oriented workload:

  1. Map the problem to a circuit and, for Estimator, one or more observables.
  2. Optimize the parameterized circuit once for the selected backend.
  3. Apply the layout to every observable.
  4. Execute ISA circuits through a V2 primitive using Primitive Unified Blocs (PUBs).
  5. Analyze register-aware results, metadata, uncertainty, and resource usage.

Read the full file on GitHub · 277 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. 1mo ago First seen · 277 lines · 75 tokens per session scan A ecce52d2f699

Subscribe to this mod's changes

qiskit is a skill published in the GitHub repository agentlas-ai/agentlas-desktop (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 75 tokens to every session and 2,869 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to qiskit, differing in 35 lines, and is treated as a copy.

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