sundials-guide
sundials-guide is a Physics, mathematics & simulation skill for AI agents, published by llnl in the sundials repository on GitHub. Skillspace rates sundials-guide C (72/100) and it passed the safety scan; the rating is based on static analysis only.
Guide SUNDIALS users to the right package, time-stepping module, nonlinear/linear solver strategy, and initial tuning choices. Use when a request asks which SUNDIALS package to use (CVODE, CVODES, IDA, IDAS, ARKODE, KINSOL), whether to choose explicit vs implicit vs IMEX or multirate methods, how to pick dense/band/sparse/Krylov solvers and preconditioners, or what tolerances, step limits, initial-condition handling, and other starting settings to try.
- Grade
- C
- Quality
- 72 / 100
- Safety
- Passed
- GitHub stars
- 687
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 96 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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