play-game
play-game is an Entertainment & games skill for AI agents, published by AI-FanGe in the Openclaw_Gaming_SF6 repository on GitHub. Skillspace rates play-game D (67/100) and it passed the safety scan; the rating is based on static analysis only.
分析街霸 Cammy 自动对战项目中的对手近期招式模式、用户手柄输入和 YOLO 识别状态。用于给 fight engine 提供拳击教练式策略指导、调整战斗阈值、生成自适应应对方案，或当用户要求编写/使用游戏教练型 OpenClaw 技能时启用。始终输出中文策略总结，并在下方附带一个可转发到本地策略桥的 JSON 策略块。
- Grade
- D
- Quality
- 67 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 86 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- 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
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