cirq
cirq is a Physics, mathematics & simulation skill for AI agents, published by K-Dense-AI in the scientific-agent-skills repository on GitHub. Skillspace rates cirq C (77/100) and it passed the safety scan; a judge model has also reviewed it.
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.
- Grade
- C
- Quality
- 77 / 100
- Safety
- Passed
- GitHub stars
- 44,723
Placed #3 of 6 in the judged category final for Physics, mathematics & simulation.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Judge review
Placed #3 of 6 in the judged category final for Physics, mathematics & simulation.
- Trigger
91 91 - Instructions
88 88 - Specificity
90 90 - Safety
95 95 - Disclosure
90 90 - Maintenance
82 82
Equally polished hardware/noise-focused quantum reference with dated release info and parameter-sweep examples, narrower in scope than its ML-focused sibling.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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