ode-solver

Solve ordinary differential equations (initial and boundary value problems). Supports stiff/non-stiff systems, event detection, Hamiltonian/symplectic integration, parameter sweeps, and phase space analysis. Use for any ODE system in physics, engineering, or applied math.

Quality

83%

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Passed

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Quality

Content

78%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.

Highly actionable, executable content with clear workflows and validation/troubleshooting feedback loops. The chief weakness is progressive disclosure: everything lives inline in a long SKILL.md with no bundle references to split detail into.

Suggestions

Move the longer worked examples (e.g. Hamiltonian/symplectic and BVP) into reference files under ./references/ and link to them from a concise overview, keeping only the quick-start IVP inline.

Inline the Validation Checklist into each destructive/batch workflow (e.g. the parameter sweep) so checkpoints appear at the point of use rather than in a separate section.

Trim redundant docstrings/comments in code blocks to lift conciseness toward lean.

Dimension	Reasoning	Score
Conciseness	Lean and assumes competence — no padding about what ODEs are or how scipy works — but the six full inline code examples make the document long enough that a few examples could be trimmed or externalized.	4 / 5
Actionability	Six copy-paste-ready executable examples (IVP, stiff, events, symplectic, BVP, parameter sweep) plus a method-selection table cover the common cases concretely.	5 / 5
Workflow Clarity	Workflows are clearly numbered and labeled, with a Validation Checklist and a Troubleshooting symptom/cause/fix table providing error-recovery feedback loops; the checklist is separated from the workflows rather than inline, leaving minor checkpoint gaps.	4 / 5
Progressive Disclosure	Well-organized sections, but at ~230 lines the entire detailed content (all six worked examples, method guide) is inlined in SKILL.md with no one-level-deep references to separate files, so it functions as a monolith rather than an overview pointing to deeper materials.	3 / 5
	Total	16 / 20 Passed

Description

88%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, specific description that clearly conveys both capability and usage triggers, with comprehensive concrete actions. The main weakness is a slightly broad 'when' clause that could sharpen distinctiveness from neighboring physics skills.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions — 'initial and boundary value problems', 'stiff/non-stiff systems', 'event detection', 'Hamiltonian/symplectic integration', 'parameter sweeps', 'phase space analysis' — giving comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly states both what ('Solve ordinary differential equations...Supports...') and when ('Use for any ODE system in physics, engineering, or applied math.') with concrete trigger phrases.	5 / 5
Trigger Term Quality	Strong natural keyword coverage ('ordinary differential equations', 'ODE system', 'initial and boundary value problems', 'physics, engineering, or applied math'), but a few natural synonyms (e.g. 'ODEs', 'numerical integration') are absent.	4 / 5
Distinctiveness Conflict Risk	The ODE-solving niche is clearly distinct from related domains (PDEs, fitting), though the broad 'any ODE system in physics, engineering, or applied math' trigger invites minor overlap with adjacent physics skills.	4 / 5
	Total	18 / 20 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: synthetic-sciences/openscience
Path: backend/cli/skills/physics/ode-solver/SKILL.md
Commit: a820c2f

Reviewed: ~17 hours ago

Table of Contents

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