openlore-orient

openlore-orient is a Codebase mapping & onboarding skill for AI agents, published by clay-good in the OpenLore repository on GitHub. Skillspace rates openlore-orient B (87/100) and it passed the safety scan; the rating is based on static analysis only.

Persistent architectural memory for this codebase. Call `orient(task)` before reading source files to get the relevant functions, callers, spec sections, and insertion points for any task — one structural lookup instead of file-by-file rediscovery.

Grade
B
Quality
87 / 100
Safety
Passed
GitHub stars
196

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
100 / 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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