Content
92%Weight 40%Scale 1-5Reviews 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.
| Dimension | Reasoning | Score |
|---|---|---|
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 / 20 Passed |