metadata

metadata is an Information, media & social sources skill for AI agents, published by machina-sports in the sports-skills repository on GitHub. Skillspace rates metadata D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Sports metadata via TheSportsDB free API (key=3). Team logos and badges, player photos, stadium info, league info, and biographical data across 100+ leagues. No API key required, zero config. Use when: user asks for a team logo, crest, badge, banner, jersey, kit, player photo or headshot, stadium info, club description, or wants to search for teams or players by name across sports. Good for enriching responses from other skills with images and visual identifiers. Don't use when: user asks for scores, standings, fixtures, stats, or odds — use the sport-specific skill instead: football-data (soccer), nfl-data (NFL), nba-data (NBA), wnba-data (WNBA), nhl-data (NHL), mlb-data (MLB), tennis-data (tennis), golf-data (golf), cricket-data (cricket), cfb-data (college football), cbb-data (college basketball), fastf1 (F1), volleyball-data (Dutch volleyball), xctf-data (NCAA XC/TF). Don't use for prediction markets — use polymarket or kalshi.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
186

Unproven: rated by static analysis only, not yet compared head-to-head.

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
Basic: a single SKILL.md
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Category is a classifier prediction; no model has read this skill 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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