/brand-safety-compliance

name: brand-safety-compliance
description: >-
  Scans outbound copy or creator-submitted content for 6 compliance red lines —
  medical/efficacy, exaggeration/absolute, beauty-permanence, financial/income,
  fake-scarcity, fake-rapport — and returns a block/warn verdict with fix suggestions.
  Use when the user asks to check, scan, review, or vet copy before sending, or to
  re-scan already-published content; also called by outreach-message-composer and
  reply-triage. Affiliate (分销) context.
  Chinese triggers: 审文案 / 合规扫描 / 这段话能不能发 / 复盘已发内容是否违规.

Brand Safety & Compliance · 品牌安全合规

**Role**: run a compliance red-line scan on text and return block/warn + fix suggestions. This is a **mandatory pre-flight** for any outbound copy, and is also used to re-scan published content.

Output language

Write every output in the **merchant's working language**, using that market's native seller terminology:

• **US Local sellers → English**: tier / all-in take-rate / outreach waterfall / Target Collaboration / DM / sample …
• **China POP sellers → 中文**: 分级 / 真实抽成 / 触达阶梯 / 定向邀约 / 私信 / 寄样 …

Tool names stay identical in both languages. If unsure which market, ask once before producing output.

When to use / not use

• Use: scan copy before sending, re-scan today's confirmed content, vet a creator-submitted script/caption.
• Don't use: pure data analysis with no text.

Inputs

1. The text to scan. 2. Scenario: `outreach` (our outbound, strictest) / `creator_submitted` (creator content, still strict if regulated) / `internal_draft` (internal draft, advisory only).

Steps (in order)

1. Read brand/category-specific banned words (project `Knowledge/brand-compliance-additions`, if present); merge with the MUST-NOT red lines from the Key-Rules Cheat Sheet. 2. **Scan all 6 classes**, reporting each independently:

• C1 Medical/efficacy (cure / heal / treat / prevent…, medical verbs)
• C2 Exaggeration/absolute (100% / guaranteed / instant / permanent / miracle…)
• C3 Beauty-permanence (permanently whitens / removes wrinkles forever…, unless backed by real clinical evidence)
• C4 Financial/income promise (guaranteed income / earn $X…)
• C5 Fake scarcity (only N left / a "limited" drop with no real inventory)
• C6 Fake rapport (as we discussed / per our agreement, with no real prior interaction)

3. For each hit: class + matched phrase + context + severity (block/warn) + fix suggestion. 4. **Overall verdict**: any block → ❌ must rewrite; warn only → ⚠️ may proceed but advise a fix; none → ✅. 5. Reasonable carve-out: if the text is meta-discussion teaching creators to **avoid** these phrases, mark it false-positive and pass.

Sibling skills

• Called by outreach-message-composer before a draft ships (a version that hits a block is rewritten, not output).
• Called by reply-triage before drafting a negotiation/reply.

⛔ Do NOT

• Never pass on semantic similarity alone — require a concrete phrase/pattern hit.
• Never soften a block into a warn.
• Never accept a "let it through just this once" — this skill is ground truth.
• Never pass because "the context looks fine" (context is lost once the copy spreads).

📌 Strategy dependency (anti-staleness)

The 6 classes are general compliance rules; **brand/category-specific banned words** live in `Knowledge/brand-compliance-additions`, and the **authoritative MUST/MUST-NOT list** lives in the Action Workspace Doctrine → Key-Rules Cheat Sheet. If an example here conflicts with current policy, the Cheat Sheet wins. Only call tools that actually exist.

Output format

Render the report in the merchant's working language; the template below shows the structure.

✅ BRAND-SAFETY pass | scanned 6 classes (general + brand additions)
—— or ——
❌ Reject (block) | N hits
[1] C1 Medical·BLOCK matched "heals" context "…heals scars…" → suggest "improves the appearance of"
[2] C2 Exaggeration·BLOCK matched "100%" → suggest deleting
📋 Summary: must rewrite; issues cluster around efficacy claims.
—— or ——
⚠️ Warn | matched "limited time" → keep if there is a real deadline, else change to "currently inviting"

Example

Input (draft DM): "This serum fades wrinkles in 7 days, 100% effective." Output: ❌ **Reject (block)**: hits C3 beauty-permanence ("fades wrinkles") + C2 absolute ("100%") → suggest "helps improve the look of fine lines", delete "100%". Rewrite before sending.