OpenClaw Livestream Comment Management

Background

Livestream moderation often faces:

• High comment volume during peaks
• Mix of questions, spam, complaints, and sensitive topics
• Slow or inconsistent reply quality
• No clear handoff rules for controversial content

This use case builds classify → suggest → handoff.

Key steps

1. Classify comments: question, praise, complaint, spam, sensitive, other.
2. Apply routing rules: questions → suggest reply; sensitive → handoff.
3. Suggest replies for FAQ and low-risk categories.
4. Human override: moderator approves, edits, or blocks before send.
5. Log: classification and handoff for audit and tuning.

Workflow sketch

Comment in → Classify → If safe: suggest reply; else handoff → Human approves → Send or block

Skill recommendations

openclaw skills install @clawhub/summarize

Use Content Security Policy or similar skills for filtering dangerous or policy-violating content.

Expected results

• Comments classified with clear routing
• Reply suggestions for safe categories
• Sensitive comments in moderator queue
• Audit log for compliance and tuning

Common pitfalls

• Auto-sending on sensitive or ambiguous comments
• Missing spam or policy violations due to loose rules
• No human override path for edge cases

Related pages

• Livestream reply rules

• Content security policy

• E-commerce / support solutions

• Official docs → docs.openclaw.ai

• Issues → GitHub Issues