pennylane
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
SkillSpector found no issues but could not fully inspect the package, usually because SKILL.md refers to a file that is not present, so it fails closed to CAUTION instead of SAFE. Read it as "not fully checked", not as a finding. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
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.
- Package
- 8 files, 53 KB
- SKILL.md
- 762 words, 9 sections
- Code
- None. Instructions only.
- Allowed tools
ReadBashPython- License
- Apache-2.0 license
- Compatibility
- Requires Python 3.11+ and PennyLane 0.45.1 with NumPy 2+. Optional PyTorch, JAX or provider plugins need separate compatible environments. Local simulation needs no credentials; hardware requires provider credentials and network access.
SKILL.md covers: PennyLane · When to use · Installation · Workflow · Quick start: value, gradient and optimization · Load the relevant reference · Failure checks · Upstream references and verification · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 7.0 KB |
references/advanced_features.md | doc | 7.7 KB |
references/devices_backends.md | doc | 8.9 KB |
references/getting_started.md | doc | 4.0 KB |
references/optimization.md | doc | 6.7 KB |
references/quantum_chemistry.md | doc | 7.5 KB |
references/quantum_circuits.md | doc | 4.9 KB |
references/quantum_ml.md | doc | 6.5 KB |
External hosts referenced
docs.pennylane.ai github.com arxiv.org pypi.org amazon-braket-pennylane-plugin-python.readthedocs.io docs.ionq.com doi.org export.arxiv.org quantum.cloud.ibm.com
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Environment variables referenced
IONQ_API_KEY PENNYLANE_IONQ_API_KEY
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-pennylane-scan.json
- Badge for your README:
- Request a re-scan