office-geocoding
office-geocoding is a Geospatial & mapping skill for AI agents, published by leopu00 in the job-hunter-team repository on GitHub. Skillspace rates office-geocoding D (67/100) and it passed the safety scan; the rating is based on static analysis only.
Geocode the precise office building (lat/lon/address) for a position AFTER location-enrichment has populated loc_city/loc_country. Use web search aggressively (3+ attempts) to find the company HQ/office address, then resolve coordinates via Nominatim/Photon. Skip ONLY after exhaustive search fails or when multiple ambiguous offices exist. Sets office_lat, office_lon, office_address, office_geocoded, office_verified.
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 37
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
- 93 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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