explain-model
explain-model is a Research reports & synthesis skill for AI agents, published by gregmiller00 in the LVTShift repository on GitHub. Skillspace rates explain-model D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Produces a plain-language but rigorous methodology explainer for an existing LVTShift city model — what data was used, which levies were and were NOT modeled, how much revenue was modeled, how full and partial exemptions were applied (and how they interact), how property categories were built, the land/improvement split method, and the model's limitations. Use when the user says "explain the model for [city]", "explain-model [city]", "how was [city] modeled", "what choices were made for [city]", "document the methodology for [city]", or "what are the limitations of the [city] model". Independently verifies the notebook against the export and (when present) re-probes the cached parcel data to surface artifacts the notebook does not state.
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 29
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
- 92 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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