run-modelica
run-modelica is a Physics, mathematics & simulation skill for AI agents, published by LunCoSim in the lunco-sim repository on GitHub. Skillspace rates run-modelica D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Recipe for running Modelica models and building experiments/graphs in lunica (LunCoSim), driven from the HTTP API with curl. Trigger whenever you need to: launch the workbench, open/compile a Modelica model, run it live (interactive realtime) or as a fast batch, sweep parameters across many runs, read simulation results/trajectories, poke runtime inputs, or plot and compare runs — without asking the user to click. Covers the `--api` launch, the `POST /api/commands` envelope, the command + query catalog, run bounds/solver semantics, and reading experiment results. Prefer curl over the MCP `mcp__lunco__*` tools — the MCP bridge is often unavailable; every MCP tool has a curl equivalent shown here.
- Grade
- D
- Quality
- 57 / 100
- Safety
- Passed
- GitHub stars
- 99
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked 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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