Revisa un guion chino según normas actuales citadas, señala riesgos y propone cambios sin ofrecer asesoramiento legal.
Short Drama Script Compliance Review When to use Review a Chinese short-drama script against current cited rules, flag risks, and propose revisions without presenting legal advice. Workflow 1. Confirm the user owns the input or has permission to process it. Collect the source material, audience, output format, and acceptance criteria. 2. Separate observed facts and user-provided constraints from inference. Ask for missing information instead of inventing it. 3.
# Short Drama Script Compliance Review ## When to use Review a Chinese short-drama script against current cited rules, flag risks, and propose revisions without presenting legal advice. ## Workflow 1. Confirm the user owns the input or has permission to process it. Collect the source material, audience, output format, and acceptance criteria. 2. Separate observed facts and user-provided constraints from inference. Ask for missing information instead of inventing it. 3. Identify the jurisdiction, publication channel, intended release date, and the exact rules that need verification. 4. Use <skill-tag>skill:4b07bbf2-25cd-5e6c-b5fc-d7297b9783e6</skill-tag> to gather current primary sources. Cite each material risk and label the review as editorial guidance, not legal advice. ## Output contract Return the input assumptions, the approved plan, the generated or analyzed result, uncertainty and limitations, and a concise verification checklist. Preserve source links and provider-returned identifiers when available. Stop if the required connected capability is unavailable; do not substitute local scripts, package installation, or embedded credentials. ## Safety and review Do not upload private or sensitive media without explicit authorization. Do not claim certainty beyond the evidence. Require review before externally visible, paid, destructive, or account-changing actions. ## Source and license This Aident-native re-authoring is based on [the pinned upstream source](https://github.com/pynooblin/ai-script-reviewer/tree/788300f6dfe0f6c5bca9961df779d5ef2f852150), discovered through [ModelScope](https://modelscope.cn/skills/xnmodel/ai-script-reviewer), and used under MIT. It preserves the upstream workflow goal while removing local executable, credential, and package assumptions.