find-nearby-0cfbe8 — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited find-nearby-0cfbe8 (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:
# By coordinates (from Telegram location pin or user-provided)
python3 SKILL_DIR/scripts/find_nearby.py --lat <LAT> --lon <LON> --type restaurant --radius 1500
# By address, city, or landmark (auto-geocoded)
python3 SKILL_DIR/scripts/find_nearby.py --near "Times Square, New York" --type cafe
# Multiple place types
python3 SKILL_DIR/scripts/find_nearby.py --near "downtown austin" --type restaurant --type bar --limit 10
# JSON output
python3 SKILL_DIR/scripts/find_nearby.py --near "90210" --type pharmacy --json| Flag | Description | Default |
|---|---|---|
--lat, --lon | Exact coordinates | — |
--near | Address, city, zip, or landmark (geocoded) | — |
--type | Place type (repeatable for multiple) | restaurant |
--radius | Search radius in meters | 1500 |
--limit | Max results | 15 |
--json | Machine-readable JSON output | off |
restaurant, cafe, bar, pub, fast_food, pharmacy, hospital, bank, atm, fuel, parking, supermarket, convenience, hotel
latitude: ... / longitude: ...) from a Telegram pin, or ask the user for an address/city/zip.--json if you need to process results programmatically.hours field in results — if missing or unclear, verify with web_search.directions_url from results, or construct: https://www.google.com/maps/dir/?api=1&origin=<LAT>,<LON>&destination=<LAT>,<LON>hours field in results, cross-reference with web_search for accuracy since OSM hours aren't always complete~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.