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cirq

Cirq is Google Quantum AI's open-source framework for designing, simulating, and running quantum circuits on quantum computers and simulators.

55

Quality

63%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/cirq/SKILL.md

The canonical home for this skill is cirq in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

57%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is actionable with strong executable examples and a clean reference structure, but it is somewhat verbose, lacks explicit validation checkpoints in its workflows, and points to reference files that are absent from the bundle.

Suggestions

Ship the referenced files (building.md, simulation.md, transformation.md, hardware.md, noise.md, experiments.md) or remove the dangling references so navigation resolves.

Add validation checkpoints to the hardware execution and noise study templates (e.g. validate circuit against device constraints, then run), turning them into feedback loops.

Trim the duplicated 'Common topics' bullet lists that restate reference-file contents, keeping only the pointer and a one-line summary.

DimensionReasoningScore

Conciseness

The body is mostly code and structured pointers without over-explaining basics, but the repeated 'Common topics' bullet lists and long template blocks could be tightened for token efficiency.

3 / 5

Actionability

It provides concrete, mostly copy-paste-ready code for circuits, parameter sweeps, variational and hardware templates, with only minor placeholders ('Setup workspace...') in the hardware example.

4 / 5

Workflow Clarity

Templates give rough sequences for hardware execution and noise studies, but there are no explicit validation checkpoints or error-recovery feedback loops, and expensive hardware runs lack a validate-before-submit step.

3 / 5

Progressive Disclosure

The overview is well structured with clearly signaled one-level-deep references, but the referenced files (references/building.md, simulation.md, etc.) do not exist in the bundle, so navigation is broken.

3 / 5

Total

13

/

20

Passed

Description

70%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and distinct, clearly conveying what Cirq does, but it lacks any explicit 'when to use' trigger guidance, which limits completeness. Adding a 'Use when...' clause would raise the score.

Suggestions

Add an explicit trigger clause, e.g. 'Use when working with quantum circuits, qubits, or quantum algorithms, or when the user mentions Cirq or quantum computing.'

Include common synonyms and file/extension cues (qubits, gates, .json circuit exports) to broaden natural keyword coverage.

DimensionReasoningScore

Specificity

The description names the domain and three concrete actions ('designing, simulating, and running quantum circuits'), giving good specificity, but coverage is moderate rather than comprehensive.

4 / 5

Completeness

It clearly answers 'what' (a framework for designing, simulating, and running quantum circuits) but has no 'Use when...' or equivalent trigger guidance, capping completeness at 3 per the rubric.

3 / 5

Trigger Term Quality

Natural terms like 'quantum circuits', 'quantum computers', 'simulators', and 'Cirq' are present, but common synonyms such as 'qubits' or 'quantum gates' are missing.

4 / 5

Distinctiveness Conflict Risk

Quantum computing with Cirq is a clear, distinct niche with minimal overlap risk against other skills.

5 / 5

Total

16

/

20

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

referenced_paths_exist

Referenced path issues: 6 missing

Warning

Total

13

/

16

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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