train-system
train-system is a Frontend state & data fetching skill for AI agents, published by moorestech in the moorestech repository on GitHub. Skillspace rates train-system D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Train/rail system reference covering network sync flows, event implementation, tick simulation, save/load, core invariants, and test prioritization under unified TickUnifiedId ordering and per-TrainUnit snapshot synchronization. Use when changing train/rail sync behavior, `va:event:*` contracts, tick/hash progression, persistence, rail topology semantics, or planning train regression tests.
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 78
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
- 78 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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