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YouTube Monetization Guard

YouTube Monetization Guard

Compliance auditor for YouTube 2025/2026 policies. Automatically audits any YouTube script, niche research, or video-idea brainstorm across 7 risk dimensions — Inauthentic Content, AI Disclosure, Misleading Content, Child Safety, Advertiser-Friendliness, Originality, and AI Slop signals — then appends a 0-10 demonetization risk score with a per-segment heatmap, an explicit voice-clone-without-consent verdict, a live policy-change check, and a ready-to-paste rewrite of the critical segment.
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평점
더 많은 평가가 필요합니다
판매
0
사용 방법
Capafy에서 실행
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퍼블리셔 제공
Claude Sonnet 4.6

YouTube Monetization Guard

Automatic compliance auditor for YouTube's 2025/2026 monetization policies. Appends a 0–10 demonetization risk score after any YouTube script, niche research, or video-idea brainstorm — without being asked.

In January 2026, YouTube terminated 16 channels with a combined 4.7 billion views under the renewed Inauthentic Content Policy. Faceless, automated, or AI-assisted channels face heightened scrutiny. This skill flags the risk signals before upload, not after the strike.

v2 adds four things a single global score can't do: it locates risk per segment instead of averaging it away, it states an explicit verdict on cloned voices of real people, it verifies the policy grid against live sources before applying it, and it hands back ready-to-paste rewritten text for the segment that's dragging the score down.

What it does

Every time you generate, write, or review:

  • a YouTube long-form or Shorts script,
  • niche/sub-niche research or recommendations,
  • a video idea/title/concept brainstorm,

the skill evaluates it against 7 risk dimensions and appends a structured audit report after your deliverable — never instead of it.

The 7 risk dimensions

# Dimension What it checks
1 Authenticity / Inauthentic Content Repeatable template vs. genuine editorial judgment
2 AI Disclosure Synthetic narration/visuals, the "Altered Content" toggle, and an explicit voice-clone verdict whenever synthetic narration exists
3 Misleading Content False or unverifiable claims about real people, events, places
4 Child Safety Any risk involving real or fictional minors
5 Advertiser-Friendliness Violence, sexual content, controversy, hate speech
6 Originality Real differentiation vs. clone of an existing formula
7 AI Slop signals Static slideshow, identical structure/music/shots across videos

Each dimension is rated ✅ Safe / ⚠️ Caution / 🔴 Critical, then scored: base 10, minus per-signal weights, plus a capped mitigation bonus, with hard caps (e.g., any Child Safety 🔴 caps the score at 1; a 🔴 voice clone with no stated consent caps at 2; 3+ 🔴 anywhere caps at 4).

What's new in v2

  • Segment heatmap. A 12-minute script isn't one texture. The audit splits the artifact into segments (narrative beats, list items, sub-niches) and shows exactly which 40 seconds of an otherwise-clean script carry the risk — instead of flattening everything into one number.
  • Voice-clone verdict. Whenever synthetic narration is present, the report states plainly whether it imitates an identifiable real person, and whether consent is documented. Consent is never inferred from fame, death, or a disclaimer — an undisclosed clone of a real person caps the score at 2, no matter how clean everything else is.
  • Live policy check. Before applying the grid, the skill runs a bounded live search for policy changes since the bundled reference date and reports one of three honest states in the header: no changes found, changes applied (with source), or static references only. It never blocks the deliverable.
  • Critical-segment rewrite. When one segment is the bottleneck, the audit hands back the fixed text — same language, same voice, ±20% length — ready to paste. When the problem lives in the premise itself (not the wording), it says so instead of dressing up a violation.

Example input → output

Input prompt:

"Write a 12-minute script about how the 1986 Chernobyl exclusion zone became one of Europe's densest wildlife reserves. I'll cite the 2015 Deryabina Current Biology census and the 2019 UNEP report, narrate it in my own voice, and use licensed documentary footage plus two AI-generated maps. I'll enable the Altered Content toggle."

Output: the full 12-minute script, followed automatically by:

🛡️ YouTube Monetization Audit

Artifact type: Long-form script (12 min)
Niche/channel: Science/ecology documentary, EN
Pipeline: Human (own narration, licensed footage) + two AI-generated maps, disclosed
Policy check: live check 2026-09-24 — no changes since the bundled references

Analysis by dimension

# Dimension Status Observation
1 Authenticity ✅ Named primary sources, specific thesis
2 AI Disclosure ✅ Toggle planned, AI limited to 2 labeled maps
3 Misleading Content ⚠️ Recovery claims must stay inside cited data
4 Child Safety ✅ No relevant elements
5 Advertiser-Friendliness ⚠️ Nuclear-disaster framing can draw review
6 Originality ✅ Ecology angle vs. usual disaster retelling
7 AI Slop signals ✅ Own voice, licensed footage

Risk heatmap by segment

Segment Worst dimension Status Why
S1 opening D5 Advertiser ⚠️ Opens on the disaster before the ecology thesis
S2-S5 census, wildlife — ✅ Every claim tied to a named study
S6 outro — ✅ Closes on the ecological question

🎯 Demonetization risk score: 9/10

Minimal risk. Publish with the attribution and thumbnail adjustments noted above.

A riskier prompt — say, a faceless Shorts channel about a living celebrity's "hidden private life," with a cloned anchor voice and undisclosed AI footage of the person — scores 0/10. The report names the voice-clone verdict explicitly (imitates [person], consent not stated), points to exactly which segments carry the fabricated claims, and explains why no rewrite can fix it: the premise itself is the violation.

Score reading table

Score Meaning Action
0-2 Very high risk — demonetization/termination likely Do not publish
3-4 High risk — yellow icon or strike likely Rework before publishing
5-6 Moderate risk — passes but vulnerable Apply mitigations
7-8 Low risk Publish with minor adjustments
9-10 Minimal risk Publish with confidence

Why it's useful

  • Specific, not generic. Points to the concrete signal ("structure identical to the 16 channels terminated in January 2026"), not vague warnings.
  • Locates the risk, doesn't smear it. If one segment out of twelve is the problem, the report says which one — not a uniform "moderate risk" across an otherwise-clean script.
  • Never blocks the deliverable. You always get the script/research/brainstorm you asked for — the audit is appended, not a gate.
  • No fabricated rules. Grounded in documented 2025/2026 YouTube policies, verified against live sources before each audit. If something isn't covered, it says so — and if live verification wasn't possible, the header says that too.
  • Honest on both ends. Genuinely safe content gets a 9-10 with no invented problems; clear AI slop gets a 1-2 with no softening.
  • Hands back a fix, not just a diagnosis. When a segment is salvageable, you get the rewritten text — not a mitigation bullet you have to translate into prose yourself.

FAQ

Does it work in any language or niche?
Yes — paleontology, mythology, true crime, horror, dark history, any language. The score reflects the content's risk pattern, not the topic itself.

Does using AI automatically lower the score?
No. The policy doesn't ban AI, it bans undisclosed or low-effort mass production. A disclosed, sourced, editorially distinct AI-assisted video can score 9-10; an undisclosed daily-template AI channel scores near 0.

What happens if my script uses a cloned voice?
The report states the verdict explicitly. A generic AI voice or your own cloned voice is fine. A voice built to imitate an identifiable real person without documented consent caps the score at 2, regardless of everything else — and no rewrite can clear it, since the cloned voice itself is the exposure.

Can I turn the audit off?
No — it's designed to run automatically on every qualifying request, by design, so risk is never missed because someone forgot to ask.

What if my request is borderline (e.g., "improve this paragraph of my script")?
The skill applies itself when in doubt. The cost of an extra audit is low; the cost of missing one is a demonetized channel.