precedent-study

precedent-study is a Research reports & synthesis skill for AI agents, published by Abhinavbwj in the Urban-Design-Skills-Claude repository on GitHub. Skillspace rates precedent-study D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Research and analyze urban design precedents systematically. Generates structured case study reports with quantitative metrics, design principles, lessons learned, and transferability assessment. Use when the user asks for precedents, case studies, reference projects, comparable developments, benchmarks from other cities, examples of similar projects, or best practice examples. Also use when the user names a specific urban project and wants it analyzed as a precedent.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
115

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
84 / 100
Maturity
Structured: ships references or scripts
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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