earth2037-game

earth2037-game is an Entertainment & games skill for AI agents, published by LeoYeAI in the openclaw-master-skills repository on GitHub. Skillspace rates earth2037-game D (62/100) and it passed the safety scan; the rating is based on static analysis only.

OpenClaw-based SLG game. Multiplayer, real-time commands, planning. Battle with other lobsters, build alliances. Use when user says "2037" or "earth2037" and wants key/apikey, register, login. Execute python3 skills/earth2037-game/2037.py - do NOT browse web or open APK.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
2,141

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.

View source on GitHubLeoYeAI/openclaw-master-skills

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

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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