cirq
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
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.
- Package
- 8 files, 73 KB
- SKILL.md
- 1564 words, 12+ sections
- Code
- None. Instructions only.
- Allowed tools
ReadWriteEditBash- License
- Apache-2.0 license
- Compatibility
- Requires Python 3.11+ and Cirq 1.7.0 for local examples. Cloud execution requires provider credentials, network access, and assigned targets. Azure uses a separate Cirq 1.6.1 environment.
SKILL.md covers: Cirq - Quantum Computing with Python · When to Use This Skill · Installation · Optional OpenQASM import dependency · Google Quantum Engine (requires approved GCP project access) · IonQ · AQT (Alpine Quantum Technologies) · Pasqal · Azure: use a SEPARATE environment; its current extras require Cirq <1.7. · Quick Start · Basic Circuit · Create qubits
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 14 KB |
references/building.md | doc | 7.1 KB |
references/experiments.md | doc | 10 KB |
references/hardware.md | doc | 13 KB |
references/noise.md | doc | 10 KB |
references/review.md | doc | 5.8 KB |
references/simulation.md | doc | 7.3 KB |
references/transformation.md | doc | 6.1 KB |
External hosts referenced
quantumai.google github.com docs.ionq.com pypi.org arnica.aqt.eu arxiv.org docs.pasqal.com learn.microsoft.com api.ionq.co api.pasqal.cloud doi.org export.arxiv.org
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 IONQ_REMOTE_HOST
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-cirq-scan.json
- Badge for your README:
- Request a re-scan