olm-architecture
olm-architecture is a Codebase mapping & onboarding skill for AI agents, published by OpenLitterMap in the openlittermap-web repository on GitHub. Skillspace rates olm-architecture D (55/100) and it passed the safety scan; the rating is based on static analysis only.
OpenLitterMap v5 architecture reference. Use this skill whenever working on OLM backend code, Laravel controllers, services, events, tests, Redis, metrics, tags, photos, teams, admin, leaderboards, or any part of the OpenLitterMap codebase. Also trigger when the user mentions MetricsService, VerificationStatus, PhotoTags, AddTagsToPhotoAction, TagsVerifiedByAdmin, rewardXpToAdmin, school pipeline, teacher approval, clustering, or any OLM-specific concept. This skill should be used BEFORE writing any OLM code to avoid architectural mistakes. When in doubt about OLM patterns, read this skill.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 132
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
- 77 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- GPL-3.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.