Conciseness

Largely efficient with purposeful code comments and domain context rather than basic-concept padding; a few explanatory comments could still be trimmed, so it sits above anchor 3 but short of the fully lean anchor 5.

Actionability

Six fully executable, copy-paste-ready workflows (data generation + fit, threshold sweep, custom/Fourier libraries, noisy differentiation, simulation validation, coefficient extraction) cover the common cases with real runnable code.

Workflow Clarity

Numbered workflows are clearly sequenced and include validation (workflow #5 simulate-and-compare; #2 complexity-vs-error sweep), but it is a set of alternative workflows rather than one pipeline with explicit feedback loops, so it does not reach anchor 5.

Progressive Disclosure

Single self-contained file with well-organized section headers and no nested references; good structure, but at ~200 lines it exceeds the under-50-line simple-skill exception that would allow a 5, and some advanced workflows could live in separate reference files.

Specificity

Names the domain and two concrete actions ('discover governing equations from time-series data', 'Builds sparse dynamical system models dx/dt = f(x)'), which matches the '1-2 concrete actions, not comprehensive' anchor rather than the 3+ actions required for a 4.

Completeness

Explicitly answers both what ('discover governing equations', 'Builds sparse dynamical system models') and when ('Use when you have trajectory data and want to find the underlying ODE') with concrete trigger phrases.

Trigger Term Quality

Good coverage of natural domain terms ('trajectory data', 'find the underlying ODE', 'governing equations', 'time-series data'), though it lacks the synonym/file-extension breadth needed for a 5.

Distinctiveness Conflict Risk

Clear niche (SINDy/equation discovery) with distinct triggers and minimal overlap with related skills; the body even distinguishes it from symbolic regression.