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cantera

Runs Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement. Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific ignition-delay comparisons.

75

Quality

94%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

92%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.

Excellent operational content: an exact, executable tested example, a rigorous refinement contract with explicit validation and feedback loops, and appropriate offloading of interpretation guidance to a real one-level reference. The only weakness is minor verbosity around duplicated version pins and hash-artifact detail.

DimensionReasoningScore

Conciseness

The body is dense, skill-specific, and free of generic-concept padding — no explanation of what Cantera or combustion is. Minor trimmable instances remain: the "Tested on Python 3.12, Cantera 3.2.0, and NumPy 2.5.3" sentence duplicates version pins already in the frontmatter and the executable command, and some snapshot-hashing detail (newline conversion, generated-header date) is denser than strictly needed. These are version/time-sensitive details placed inline rather than in a dedicated section, keeping it below the lean 5 anchor.

4 / 5

Actionability

Fully executable guidance: a copy-paste-ready `uv run` command with pinned versions and exact paths, a concrete config asset to copy (assets/hydrogen-ignition.json), explicit unit conventions (K, Pa, seconds, mole amounts), and expected numeric results (about 0.313 ms, 2920.67 K) covering the common case.

5 / 5

Workflow Clarity

The six-step workflow is clearly sequenced with an explicit validation feedback loop: step 5 directs re-refinement "if the delay changes materially, if the maximum approaches a time boundary, or if conservation fails", backed by the four-run refinement contract, null-delay guard conditions, and conservation tolerances with failure explanations.

5 / 5

Progressive Disclosure

Well-structured overview with a clearly signaled, one-level-deep reference (references/interpretation.md, which exists and is self-contained) covering model selection and interpretation, while the operational contract, outputs, and checks stay in SKILL.md. Referenced bundle files (scripts/ignition_delay.py, assets/hydrogen-ignition.json) all exist, and navigation via section headers is easy.

5 / 5

Total

19

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20

Passed

Description

92%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.

A strong description: concrete third-person capability statement paired with an explicit "Use for" trigger clause covering the domain's natural terms. Only minor synonym coverage is missing.

DimensionReasoningScore

Specificity

The description lists multiple concrete actions — "Runs Cantera homogeneous chemical reactors", "evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement" — with comprehensive, non-generic coverage of what the skill does.

5 / 5

Completeness

It explicitly answers both: what ("Runs Cantera homogeneous chemical reactors and evaluates ignition delay with mechanism provenance, conservation checks, and numerical refinement") and when ("Use for combustion kinetics, closed adiabatic ideal-gas constant-volume or constant-pressure ignition, temperature histories, or mechanism-specific ignition-delay comparisons") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Good natural keyword coverage: "combustion kinetics", "constant-volume or constant-pressure ignition", "temperature histories", "ignition-delay comparisons", plus the tool name "Cantera". A few common user phrasings (e.g., "ignition delay time", "chemical kinetics", "shock tube") are absent, so it falls just short of the comprehensive-synonyms anchor.

4 / 5

Distinctiveness Conflict Risk

A clear niche (Cantera homogeneous ignition-delay calculation) with distinct, domain-specific triggers; virtually no overlap risk with unrelated skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
K-Dense-AI/scientific-agent-skills
Reviewed

Table of Contents

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