cirq SKILL.md skillA
cirq from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/cirq@v1.3Pins v1.3 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/cirq/SKILL.md- Versions recorded
- 5
- Latest version
- v1.3, committed Oct 1, 2026
- First version recorded
- Jun 11, 2026
- Size
- 13,874 bytes
- Repository stars
- 56,497
- License
- MIT
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Cirq - Quantum Computing with Python Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators. ## When to Use This Skill Use this skill when: - Building, simulating, or optimizing NISQ circuits in Python - Running jobs on Google Quantum AI processors (via `cirq-google`) or partner backends (IonQ, Azure Quantum, AQT, Pasqal) - Modeling noise, compiling to hardware gatesets, or designing characterization experiments - Using parameter sweeps, transformers, or the ReCirq experiment patterns For IBM hardware use **qiskit**; for quantum ML with autodiff use **pennylane**; for physics simulations use **qutip**. ## Installation Examples target **Cirq 1.7.0** on Python 3.11+. Keep Cirq vendor packages on the matching release; independently versioned integrations such as Azure Quantum need their own compatibility check. ```bash uv pip install "cirq-core==1.7.0" # Optional OpenQASM import dependency uv pip install ply ``` For hardware integration (pin matching versions for reproducibility): ```bash # Google Quantum Engine (requires approved GCP project access) uv pip install "cirq-google==1.7.0" …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/cirq@sha256:6ab4c57fd133d210The line at the top of this page pins the label v1.3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jkoqtok6klnkw23x)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 11, 2026 and Oct 1, 2026, about one every 28 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3 latest | 2026-10-01 | a92663a | 13,874 B | A | view · diff |
| v1.2 | 2026-09-30 | ce9e6e9 | 13,671 B | A | view · diff |
| v1.1 | 2026-09-02 | 1e5eeff | 13,172 B | A | view · diff |
| v1.0 | 2026-07-26 | b085e11 | 12,215 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 12,220 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13874 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jkoqtok6klnkw23x GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/cirq GET https://markdownregistry.com/api/v1/blob/6ab4c57fd133d21013ac0a8cfdbb2235dcc461d6fc82445693ea475c3d5d6bc1
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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