ad-dataset-analysis

ad-dataset-analysis is a Statistical modelling skill for AI agents, published by RoboSafe-Lab in the ad-safety-research-skills repository on GitHub. Skillspace rates ad-dataset-analysis D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Analyze crash data, naturalistic driving data, and compute safety metrics for autonomous driving research. Covers FARS, CRSS, GIDAS, SHRP2, and fleet telemetry analysis. Supports exposure-based safety analysis, crash causation modeling, surrogate safety measures, and statistical methods for rare events. Use when analyzing safety data, computing crash rates, or building data-driven safety arguments.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
26

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.

View source on GitHubRoboSafe-Lab/ad-safety-research-skills

Our review

Architecture
96 / 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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