ad-literature-review

ad-literature-review is a Literature review & citations skill for AI agents, published by RoboSafe-Lab in the ad-safety-research-skills repository on GitHub. Skillspace rates ad-literature-review D (68/100) and it passed the safety scan; the rating is based on static analysis only.

Specialized literature review for autonomous driving safety research. Searches across AD-specific venues (IV, ITSC, T-ITS, T-IV, CVPR WAD, NeurIPS ML4AD), standards bodies (ISO, SAE, UNECE), and crash databases. Use when searching for AD safety papers, building related work sections, or surveying the state of the art in autonomous driving.

Grade
D
Quality
68 / 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
100 / 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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