Mostly efficient code-centric content, but padded with marketing language ('delivering performance comparable to Fortran/C++ while maintaining Python's ease of use') and redundancy — the Quick Reference section repeats commands already shown and Common Use Cases re-covers the workflow. Matches the level-2 anchor 'mostly efficient but could be tightened'; not level 3 because of the redundant Quick Reference/use-case sections and promotional framing.

Provides abundant concrete Python examples, but several are not copy-paste executable: the install commands read 'uv uv pip install' (duplicated token) and snippets use sin/cos/exp/pi without importing them (e.g. 'vx[:] = sin(X) * cos(Y)', 'b[:] = exp(...)'). Matches level-2 'concrete guidance but incomplete... missing key details'; not level 3 because the missing imports and typo break copy-paste readiness.

The five-step workflow (import → create params → instantiate → execute → analyze) is clearly sequenced, but validation/verification checkpoints are absent, and the batch parametric-study workflow runs multiple simulations with no verification step. Per the rubric, missing validation in batch operations caps this at 2; not level 3 because there are no explicit validate-then-proceed checkpoints.

SKILL.md is a clear overview that signals one-level-deep references (all six 'See references/xxx.md' paths resolve to real files) with a Resources section summarizing each. Matches the level-3 anchor 'clear overview with well-signaled one-level-deep references... easy navigation'; not level 2 because references are clearly signaled and resolve to existing files rather than being vague or nested.

Names multiple concrete actions — 'running fluid dynamics simulations including Navier-Stokes equations (2D/3D), shallow water equations, stratified flows' and 'analyzing turbulence, vortex dynamics, or geophysical flows' — plus concrete capabilities (pseudospectral methods with FFT, HPC support). This matches the anchor listing several specific concrete actions; it is above level 2 because actions go beyond naming a domain.

Explicitly answers what ('Framework for computational fluid dynamics simulations using Python... Provides pseudospectral methods with FFT, HPC support, and comprehensive output analysis') and when via an explicit 'Use when running... or when analyzing...' clause. Matches the level-3 anchor answering both what and when with explicit triggers; not capped at 2 because the trigger guidance is present and explicit.

Covers natural terms a CFD user would actually say — 'Navier-Stokes equations', 'shallow water equations', 'stratified flows', 'turbulence', 'vortex dynamics', 'geophysical flows'. Good keyword coverage matching the level-3 anchor; not level 2 because it includes the common variations rather than just one generic term.

Occupies a clear niche (CFD / fluid dynamics simulations) with distinct, domain-specific triggers unlikely to fire for unrelated skills. Matches the level-3 anchor; not level 2 because the scope is narrowly scoped to fluid dynamics rather than overlapping with broad physics or data skills.