TOPIC / RESOURCE
Community playbook: evaluate OpenClaw plays
Types of community plays (project-based, showcase, training, entertainment), evaluation criteria, how to find plays on ClawHub, and safety considerations.
Best for
- 已经把基础部署和技能链路跑稳
- 想系统看看社区里有哪些值得复现的玩法
- 希望先分清展示型玩法、训练型玩法和真正有生产价值的案例
What this page does
People often either stay at “it can chat” or try to install every community play they see. The playbook helps you choose which plays are worth trying and which to skip.
Four types of community plays
1. Work visualization
Shows what the agent is doing. Examples: Pixel Office, Star Office UI.
2. Self-awareness and interaction
Adds personality and engagement. Examples: PULSE, MBTI-style assessments, soul workshop, literary salon.
3. Gamified training
Tests decision quality, debriefing, and stability. Examples: stock arena, Neverfield farm, AfterGateway tavern.
4. Production-oriented cases
Directly useful in real workflows. Examples: pet health agent, smart home control, academic radar, Daily News Run.
If time is limited, focus on category 4.
Evaluation criteria
| Criterion | What to check |
|---|---|
| Source | Who maintains it? Where does it live? Is it actively updated? |
| Permissions | What file access, network, and API access does it need? |
| Dependencies | How many other skills and external APIs are required? |
| Data flow | What real data does it touch? Is it logged or exposed? |
| Rollback | Can you disable or uninstall it without leaving residue? |
Finding plays on ClawHub
- Browse ClawHub with filters for verified or well-maintained skills
- Search with
openclaw skills search <keyword> - Install with
openclaw skills install @clawhub/<skill-name>
Check the skill README for prerequisites, env vars, and known issues.
Community forums and channels
- OpenClaw Discord, GitHub Discussions, or equivalent channels often share play setups and configs
- Cross-reference with official docs before adopting third-party workflows
- Be cautious of plays that require broad permissions or hardcoded credentials
Safety considerations
- Start narrow – New plays should not get full file access or broad network rights by default
- Audit regularly – Run
openclaw security audit --deepas part of your review process - Limit production data – Test with synthetic or non-sensitive data first
- Update and maintain – Unmaintained skills can become security risks over time
Where to go next
- New to skills → Starter skills
- Feishu setup → Feishu channel
- Security review → Security checklist
- Use case overview → Case library
External links
- OpenClaw docs
- OpenClaw GitHub
- ClawHub – 5,700+ skills
FAQ
Topic FAQ
No. They work better once you have deployment, channel setup, core skills, and basic safety boundaries in place.
Often not the play itself, but adding more external sites, third-party skills, or real data without tightening permissions and privacy controls.