pennylane

K-Dense-AI/scientific-agent-skills AI & ML engineering Science & research

pennylane is a skill in K-Dense-AI/scientific-agent-skills, last changed 1 Oct 2026. It can run shell commands, reach the network, name web addresses and pre-approve tools — read the findings before installing.

From the author

Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for open-system dynamics use qutip.

How much a skill can do, not whether it is risky.

Pattern check

1 item to review

Broad tools pre-approved in allowed-tools

R34 · High · SKILL.md:6

Commit a25cf9e · 3 Nov 2026

How the check works

Pattern check:1 item to reviewSee it

Install

Each tab says whether it installs commit a25cf9e, the one we checked, or the latest version.

OpenCode also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Goose also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Windsurf (Devin Desktop) also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Zed also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Roo Code also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Factory Droid also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Junie also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

Amp also looks in .agents/skills/ and ~/.agents/skills/, so use the Any agent steps.

No install command here reaches Kiro. Copy the skill's folder into .kiro/skills/ in your project, or ~/.kiro/skills/ for all your projects. K-Dense-AI/scientific-agent-skills/skills/pennylane (opens in a new tab)

Antigravity also looks in .agents/skills/, so the Any agent steps reach it with This project. For All projects, see where Antigravity looks.

Cline also looks in .claude/skills/, so the Claude Code steps reach it with This project. For All projects, see where Cline looks.

No tab for your agent? Use Any agent for OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie and Amp. With This project, Any agent also reaches Antigravity and Claude Code reaches Cline. Kiro needs the folder copied by hand.

Read this before installing: Broad tools pre-approved in allowed-tools — SKILL.md:6

Pinned to commit a25cf9e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .claude/skills &&mkdir .claude/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .claude/skills/pennylane/ &&rm -rf "$tmp"

If Claude Code was already running and this created the skills folder, run /reload-skills.

Claude Code docs

Pinned to commit a25cf9e, the one we checked.

Skills in the Claude apps belong to your account rather than to a project.

Make pennylane.zip, with the skill folder at the top level:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&out="$(mktemp -d)" &&cp -R "$tmp"/skills/pennylane "$out"/pennylane &&(cd "$out" && zip -qr - pennylane) > pennylane.zip &&rm -rf "$tmp" "$out"

In Claude, open Customize > Skills, select +, then + Create skill > Upload a skill, and choose pennylane.zip.

On Free, Pro and Max plans, turn on Code execution and file creation (Create and edit files in newer settings) under Settings > Capabilities.

Claude apps docs

Pinned to commit a25cf9e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .agents/skills &&mkdir .agents/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .agents/skills/pennylane/ &&rm -rf "$tmp"

Codex picks up new skills on its own; restart it if this one does not appear.

Codex docs

Pinned to commit a25cf9e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .cursor/skills &&mkdir .cursor/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .cursor/skills/pennylane/ &&rm -rf "$tmp"

Cursor docs

Pinned to commit a25cf9e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .github/skills &&mkdir .github/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .github/skills/pennylane/ &&rm -rf "$tmp"

In a running Copilot CLI session, run /skills reload.

Or install it with gh skill, which also installs the commit we checked. Needs GitHub CLI 2.90 or later.

gh skill install K-Dense-AI/scientific-agent-skills skills/pennylane/SKILL.md@a25cf9ec00e2745d03f8704acf6f6919694ccd9a --agent github-copilot --scope project

Copilot & VS Code docs

Pinned to commit a25cf9e, the one we checked.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .gemini/skills &&mkdir .gemini/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .gemini/skills/pennylane/ &&rm -rf "$tmp"

In a running session, run /skills reload.

Or use Gemini CLI’s own installer. Installs the latest version, not the one we checked.

gemini skills install https://github.com/K-Dense-AI/scientific-agent-skills.git --path skills/pennylane --scope workspace

Gemini CLI docs

Pinned to commit a25cf9e, the one we checked.

OpenCode, Goose, Windsurf (Devin Desktop), Zed, Roo Code, Factory Droid, Junie, Amp and Antigravity read .agents/skills in a project.

From your project's root folder:

tmp="$(mktemp -d)" &&git clone -q --depth 1 --filter=blob:none --no-checkout https://github.com/K-Dense-AI/scientific-agent-skills.git "$tmp" &&git -C "$tmp" fetch -q --depth 1 origin a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&git -C "$tmp" sparse-checkout set -- skills/pennylane &&git -C "$tmp" checkout -q a25cf9ec00e2745d03f8704acf6f6919694ccd9a &&mkdir -p .agents/skills &&mkdir .agents/skills/pennylane &&cp -R "$tmp"/skills/pennylane/. .agents/skills/pennylane/ &&rm -rf "$tmp"

Or use the skills CLI from skills.sh. Installs the latest version, not the one we checked. The skills CLI reports installs to skills.sh unless you set DISABLE_TELEMETRY=1.

npx skills@1.7.4 add K-Dense-AI/scientific-agent-skills --skill pennylane

Agent Skills docs

Read SKILL.md first

Apache 2.0

Licence

55.9k

Repo stars

Folder last changed

Publisher

Files

Checked

3 Nov 2026

What it can touch

From the files and frontmatter at commit a25cf9e. This is how much a skill can do, not whether it is risky.

Runs shell commands
Its instructions or files give the agent commands to run on your computer.
Reaches the network
It sends or fetches data over the internet, for example with curl, an HTTP library or a package install.
Names web addresses
It mentions outside web addresses the agent may visit. We list them but don't follow them.
Outside links we did not follow
Pre-approves tools
Its allowed-tools field lists tools the agent may use without asking you first, in agents that honour it.
SKILL.md:6 (opens in a new tab)

Pattern check

Pattern check: 1 item to review · commit a25cf9e · 3 Nov 2026

R34 · HighBroad tools pre-approved in allowed-tools
SKILL.md:6 (opens in a new tab)
```
allowed-tools: Read Bash Python
```

We checked every text file in this skill, at commit a25cf9e on 3 Nov 2026, against 45 published patterns such as download-and-run commands, hidden text and credential access. We don't run the skill, we don't read the web pages it points to, and we can't judge everything its instructions might lead an agent to do. In published tests, pattern checks like this one missed most malicious skills. Read the skill before you install it — especially anything it asks you to download or run.

How the check works Report an incorrect finding

Outside links we did not follow

https://docs.pennylane.ai/en/stable/
https://github.com/PennyLaneAI/pennylane/tree/v0.45.1
https://docs.pennylane.ai/en/stable/development/deprecations.html
https://doi.org/10.48550/arXiv.2609.00065
https://arxiv.org/abs/2609.00065
http://export.arxiv.org/api/query?id_list=2609.00065
https://docs.pennylane.ai/en/stable/code/qml_templates.html
https://github.com/PennyLaneAI/pennylane/blob/v0.45.1/pennylane/pulse/hardware_hamiltonian.py
https://docs.pennylane.ai/en/stable/code/api/pennylane.pulse.ParametrizedEvolution.html
https://docs.pennylane.ai/en/stable/code/qml_noise.html

Show 38 more

https://docs.pennylane.ai/projects/catalyst/en/stable/code/api/catalyst.grad.html
https://github.com/PennyLaneAI/catalyst/blob/v0.15.0/frontend/catalyst/api_extensions/control_flow.py
https://docs.pennylane.ai/en/stable/code/api/pennylane.devices.Device.html
https://docs.pennylane.ai/projects/lightning/en/stable/
https://docs.pennylane.ai/projects/qiskit/en/stable/devices/remote.html
https://quantum.cloud.ibm.com/docs/en/api/qiskit-ibm-runtime/qiskit-runtime-service
https://github.com/PennyLaneAI/pennylane-qiskit/blob/v0.45.0/pennylane_qiskit/qiskit_device.py
https://amazon-braket-pennylane-plugin-python.readthedocs.io/en/latest/
https://github.com/PennyLaneAI/pennylane-cirq/blob/v0.44.0/setup.py
https://pypi.org/project/PennyLane-Rigetti/0.40.0/
https://docs.pennylane.ai/projects/strawberryfields/en/latest/
https://pypi.org/project/PennyLane-IonQ/0.45.0/
https://docs.ionq.com/api-reference/v0.4/jobs/create-job
https://docs.pennylane.ai/en/stable/code/api/pennylane.QNode.html
https://docs.pennylane.ai/en/stable/introduction/measurements.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.set_shots.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.devices.default_qubit.DefaultQubit.html
https://docs.pennylane.ai/en/stable/introduction/interfaces.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.SPSAOptimizer.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.QNGOptimizer.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.RotosolveOptimizer.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.qaoa.cost.maxcut.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.qchem.Molecule.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.qchem.molecular_hamiltonian.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.UCCSD.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.qchem.dipole_moment.html
https://docs.pennylane.ai/en/stable/code/qml_qchem.html
https://docs.pennylane.ai/en/stable/code/qml.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.MultiControlledX.html
https://docs.pennylane.ai/en/stable/introduction/dynamic_quantum_circuits.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.QFT.html
https://docs.pennylane.ai/en/stable/code/qml_transforms.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.specs.html
https://docs.pennylane.ai/en/stable/code/api/pennylane.qnn.TorchLayer.html
https://docs.pennylane.ai/en/stable/introduction/interfaces/torch.html
https://docs.pennylane.ai/en/stable/introduction/interfaces/jax.html
https://github.com/PennyLaneAI/pennylane/blob/v0.45.1/pyproject.toml
https://docs.pennylane.ai/en/stable/introduction/templates.html

Format check

Each agent reads SKILL.md a little differently. We check the file against each one's published rules; we don't run the skill in any agent.

Agent Skills specPasses
The open format from agentskills.io, held to the strictest version of each rule among the agents we check.
- Note
  Reference files over 100 lines with no table of contents at the top: references/advanced_features.md (188 lines), references/devices_backends.md (173 lines), references/getting_started.md (113 lines), references/optimization.md (166 lines), references/quantum_chemistry.md (155 lines) and 2 more. B5
  Fix: Add a short list of the sections at the top of each.
Claude CodePasses
Claude Code reads its own extra fields, ignores unknown ones, and still loads a skill whose frontmatter is broken, without its fields.
- Note
  Reference files over 100 lines with no table of contents at the top: references/advanced_features.md (188 lines), references/devices_backends.md (173 lines), references/getting_started.md (113 lines), references/optimization.md (166 lines), references/quantum_chemistry.md (155 lines) and 2 more. B5
  Fix: Add a short list of the sections at the top of each.
Claude apps & API uploadPasses
Uploading to claude.ai or the Claude API, or packaging with Anthropic's script, accepts only the six spec fields and stops on anything else.
- Note
  The description is 346 characters. The claude.ai Help Center says 200 at most, though Anthropic's API docs and validator allow 1,024. D4
  Fix: If the claude.ai upload refuses it, trim the description to 200 characters.
- Note
  Reference files over 100 lines with no table of contents at the top: references/advanced_features.md (188 lines), references/devices_backends.md (173 lines), references/getting_started.md (113 lines), references/optimization.md (166 lines), references/quantum_chemistry.md (155 lines) and 2 more. B5
  Fix: Add a short list of the sections at the top of each.
OpenAI (Codex & API)Passes
VS Code & CopilotPasses

SKILL.md

Read SKILL.md on GitHub

Files

8 files

Path	Size
SKILL.md (opens in a new tab)	7 KB
references/advanced_features.md (opens in a new tab)	7.7 KB
references/devices_backends.md (opens in a new tab)	8.9 KB
references/getting_started.md (opens in a new tab)	4 KB
references/optimization.md (opens in a new tab)	6.7 KB
references/quantum_chemistry.md (opens in a new tab)	7.5 KB
references/quantum_circuits.md (opens in a new tab)	4.9 KB
references/quantum_ml.md (opens in a new tab)	6.5 KB

More from K-Dense-AI/scientific-agent-skills

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alphagenomeLooks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), scores variants or scans windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and builds Atlas website deep links. Use when the user mentions AlphaGenome, AlphaGenome Atlas, AVI or AlphaGenome Variant Impact, DeepMind variant effect prediction, or wants to prioritise or mechanistically interpret non-coding, regulatory, splicing, enhancer, promoter, or chromatin-accessibility effects of SNVs from a VCF, credible set, or region. Research use only; not a clinical tool. Runs shell commands +4 more Pattern check: 1 item to reviewMITUpdated 1 Oct 2026	Runs shell commands Reaches the network +3 more	Pattern check: 1 item to review	MIT	1 Oct 2026
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anndataHandles annotated matrices in single-cell analysis, .h5ad and Zarr files, and integration with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census. Runs shell commands +3 more Pattern check: 1 item to reviewBSD 3-ClauseUpdated 1 Oct 2026	Runs shell commands Reaches the network +2 more	Pattern check: 1 item to review	BSD 3-Clause	1 Oct 2026

All skills in K-Dense-AI/scientific-agent-skills

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Same category, most repo stars first.

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At a glance

What it can touch

Pattern check

Install

Claude Code

Claude apps

Codex

Cursor

Copilot & VS Code

Gemini CLI

Any agent

What it can touch

Pattern check

Outside links we did not follow

Format check

SKILL.md

Files

More from K-Dense-AI/scientific-agent-skills

Other AI & ML engineering skills