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moderation

Moderation workflows, thresholds, and appeals. Use when handling UGC at scale.

作者: admin | 来源: ClawHub
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V 1.0.0
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moderation

# Moderation Structured guidance for **content moderation** (UGC policy, thresholds, appeals): confirm triggers, propose the stages below, and adapt if the user wants a lighter pass. ## When to Offer This Workflow **Trigger conditions:** - User mentions **content moderation** or closely related work - They want a structured workflow rather than ad-hoc tips - They are preparing a review, rollout, or stakeholder communication **Initial offer:** Explain the four stages briefly and ask whether to follow this workflow or work freeform. If they decline, continue in their preferred style. ## Workflow Stages ### Stage 1: Clarify context & goals Anchor on **categories and severity**. Ask what success looks like, constraints, and what must not break. Capture unknowns early. ### Stage 2: Design or plan the approach Translate goals into a concrete plan around **human review workflows**. Compare alternatives and explicit trade-offs; avoid implicit assumptions. ### Stage 3: Implement, validate, and harden Execute with verification loops tied to **threshold tuning**. Prefer small steps, measurable checks, and rollback points where risk is high. ### Stage 4: Operate, communicate, and iterate Close the loop with **appeals and transparency**: monitoring, documentation, stakeholder updates, and lessons learned for the next cycle. ## Checklist Before Completion - Goals and constraints are explicit for **moderation** - Risks and trade-offs are stated, not hand-waved - Verification steps match the change’s impact (tests, canary, peer review) - Operational follow-through is covered (monitoring, docs, owners) ## Tips for Effective Guidance - Be procedural: stage-by-stage, with clear exit criteria - Ask for missing context (environment, scale, deadlines) before prescribing - Prefer checklists and concrete examples over generic platitudes - If the user declines the workflow, switch to freeform help without lecturing ## Handling Deviations - If the user wants to skip a stage: confirm and continue with what they need. - If context is missing: ask targeted questions before strong recommendations. - Prefer concrete examples, trade-offs, and verification steps over generic advice. ## Quality Bar - Each recommendation should be **actionable** (what to do next). - Call out **failure modes** relevant to moderation (security, scale, UX, or ops). - Keep tone direct and respectful of the user’s time.

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skill ai

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⬇ 下载 moderation v1.0.0

文件大小: 1.85 KB | 发布时间: 2026-4-13 11:05

v1.0.0 最新 2026-4-13 11:05
- Initial release of the "moderation" skill, providing structured workflows for content moderation at scale.
- Outlines a four-stage process: clarify context & goals, design approach, implement & validate, and operate & iterate.
- Includes specific checklists, guidance on handling deviations, and concrete tips for quality moderation recommendations.
- Designed for situations needing procedural guidance, such as UGC policy, thresholds, and appeals processes.

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