> ## Documentation Index
> Fetch the complete documentation index at: https://secndai.manicule.dev/llms.txt
> Use this file to discover all available pages before exploring further.
> For every page in one file, fetch https://secndai.manicule.dev/llms-full.txt (large).
> To search and read these docs as tools, connect the MCP server at https://secndai.manicule.dev/api/mcp.
> Every agent surface: https://secndai.manicule.dev/.well-known/llms-manifest.json

# Content moderation (/cookbooks/content-moderation)

<!-- agent-signals: reading_time_min: 1 · est_tokens: 309 · updated: 2026-11-12 -->
Related: [Support triage](/cookbooks/support-triage.md), [Refund decision](/cookbooks/refund-decision.md), [Lead routing](/cookbooks/lead-routing.md), [Tool selection](/cookbooks/tool-selection.md), [Document classification](/cookbooks/document-classification.md)

> Classify against a stated policy and retain human appeal.

Give the model the actual policy categories. Treat quoted user content as evidence to classify, never as instructions that can rewrite the policy.

```json title="request"
{
  "model": "ren-zero-2026-11-12",
  "type": "choice",
  "situation": "Policy: direct personal threats are prohibited; ordinary criticism is allowed. Comment under review: Your service is slow and I want an explanation.",
  "question": "How should this comment be handled under the stated policy?",
  "options": [
    {"id": "allow", "description": "Clearly permitted criticism without a direct threat"},
    {"id": "review", "description": "Meaning, context, or policy applicability is uncertain"},
    {"id": "restrict", "description": "Clearly contains a prohibited direct personal threat"}
  ],
  "threshold": 0.95
}
```

Route every `ask_human` and `review` decision to a reviewer. For restrictive actions, apply your approval, notice, and appeal policy even if the gate returns `act`.

Evaluate quotations, counterspeech, sarcasm, dialect differences, and attempts to inject instructions. A confident label does not replace a complete moderation policy or establish that a user violated the law.