القائمة
Policy Compliance (PC) risk detection. Scan for prohibited content, deceptive practices, malware, data protection issues, and regulated content handling. Maps to ARB PC criteria: PC01-PC13.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Convert SCB scoring output into a prioritized remediation and re-evaluation plan with veto-first sequencing, pillar-weight impact sizing, and explicit recheck checkpoints.
Classify page/content type for SCB, resolve profile-specific weights and extension items, and output a normalized scoring manifest for downstream SCB skills and reports.
Setup automated monitoring for ongoing AdSense compliance. Configure rules, alert thresholds, and monitoring workflows to detect and prevent violations post-approval.
Entry point for all users. Comprehensive site diagnostic that identifies all compliance gaps across Content, Technical, UX, Policy, and Trust pillars. Generates prioritized action plan.
Verify all affiliate link disclosures for FTC, ASA, and international compliance. Finds undisclosed affiliate links and ensures proper format.
Run ARB-style audits across multiple sites, normalize results, rank client opportunities, and produce white-label delivery outputs for agencies and consultants.
| name | policy-risk-scanner |
| description | Policy Compliance (PC) risk detection. Scan for prohibited content, deceptive practices, malware, data protection issues, and regulated content handling. Maps to ARB PC criteria: PC01-PC13. |
Comprehensive policy compliance risk assessment. Identifies content violations, prohibited material, deceptive practices, and policy risks that would block Google AdSense approval.
| Field | Value |
|---|---|
| Default mode | Core 79 (PC01–PC11 always evaluated; PC12–PC13 only when triggered) |
| Core 79 items | PC01–PC11 (11 items) |
| Extension items | PC12 (gambling/regulated content), PC13 (tobacco/alcohol content) |
| Extension trigger | Include PC12–PC13 when site has gambling, tobacco, or alcohol content |
| Veto items | PC10 (affiliate disclosure) — any fail = instant veto regardless of mode |
| Any PC fail | Treated as pillar-level veto; escalate to ads-readiness-assessment immediately |
Output fields required (for aggregation by ads-readiness-assessment):
score_mode: one of Core 79, Core 79 + Profile, Full 105pillar: PCitems_evaluated: list of item IDs actually checkedveto_triggered: true / false + which item(s)extension_findings: any PC12–PC13 issues found even when in Core 79 mode (flag for operator)Rule: Items not in scope for the chosen mode must be labeled not_in_scope — never omitted silently.
Detect policy compliance (PC) risks that would trigger rejections:
Input: Website content or URL Output: Risk classification (Critical/High/Medium/Low) + remediation paths Optional Scripts: Keyword matching, content scanning Time: 10-20 minutes
Determine site's primary content categories and associated risks:
Scan for explicitly prohibited material:
Evaluate specific policy areas:
Score findings by severity:
Produces detailed risk report with:
digraph policy_scan {
"Content Category" [shape=box];
"Illegal Check" [shape=box];
"Hateful Check" [shape=box];
"Adult Check" [shape=box];
"Deceptive Check" [shape=box];
"Misinformation Check" [shape=box];
"Malware Check" [shape=box];
"Privacy Check" [shape=box];
"Affiliate Check" [shape=box];
"Regulated Check" [shape=box];
"Classify Risks" [shape=box];
"Generate Report" [shape=box];
"Route to Fix" [shape=doublecircle];
"Content Category" -> "Illegal Check";
"Illegal Check" -> "Hateful Check";
"Hateful Check" -> "Adult Check";
"Adult Check" -> "Deceptive Check";
"Deceptive Check" -> "Misinformation Check";
"Misinformation Check" -> "Malware Check";
"Malware Check" -> "Privacy Check";
"Privacy Check" -> "Affiliate Check";
"Affiliate Check" -> "Regulated Check";
"Regulated Check" -> "Classify Risks";
"Classify Risks" -> "Generate Report";
"Generate Report" -> "Route to Fix";
}
Criteria:
Detection:
Risk: CRITICAL - Automatic rejection
Criteria:
Detection:
Risk: CRITICAL - Automatic rejection
Criteria:
Exceptions:
Detection:
Risk: HIGH - Likely rejection without agreement
Criteria:
Detection:
Examples:
Risk: HIGH - Likely rejection
Criteria:
Detection:
Risk: CRITICAL - Automatic rejection
Criteria:
Detection:
Risk: HIGH - Likely rejection
Criteria:
Detection:
Risk: CRITICAL - Automatic rejection
Criteria:
Detection:
Risk: CRITICAL - Automatic rejection
Criteria:
Detection:
Common Failures:
Remediation:
Risk: HIGH - Common rejection reason
For Gambling Content:
For Tobacco Content:
For Alcohol Content:
Risk: MEDIUM-HIGH depending on content type
Criteria:
Detection:
Risk: MEDIUM - May cause approval delay
PC12: Ad Quantity (Active Phase)
PC13: Ad Code Placement
<head> or before </body> closingRisk: MEDIUM-HIGH - Post-approval focus
# Policy Compliance Risk Report
## Overall Compliance Score: 45/100
### CRITICAL RISKS — Must Fix Before Submission
- [PC05] Health Misinformation: Anti-vaccine content found
Pages: /health/vaccines, /blog/alternatives-to-vaccines
Recommendation: Remove or substantially revise
- [PC07] Malware Risk: Suspicious download detected
Page: /tools/free-downloader
Details: EXE file without clear consent messaging
### HIGH RISKS — Should Fix Before Submission
- [PC10] Missing Affiliate Disclosure (20 instances)
Pages: 15 blog posts with Amazon affiliate links
Recommendation: Add FTC disclosure statement
- [PC04] Deceptive Health Claims: "Cures arthritis" claim
Page: /supplements/arthritis-miracle
Recommendation: Soften to "may help" or add studies
### MEDIUM RISKS — Address Post-Approval
- [PC11] Incomplete Privacy Policy
Missing: Data retention period, user deletion process
### LOW RISKS — Monitor
- [PC01] Regulated Content Setup
Gambling content present; monitor for policy changes
{
"scan_date": "2026-05-03",
"site_url": "https://example.com",
"score_mode": "Core 79 + Profile",
"items_evaluated": ["PC01", "PC02", "PC03", "PC04", "PC05", "PC06", "PC07", "PC08", "PC09", "PC10", "PC11"],
"overall_score": 45,
"veto_triggered": false,
"risks": [
{
"criterion": "PC05",
"severity": "CRITICAL",
"type": "Health Misinformation",
"count": 2,
"pages": ["/health/vaccines"],
"details": "Anti-vaccine claims without scientific support",
"remediation": "Remove or provide scientific references"
},
...
],
"critical_count": 2,
"high_count": 5,
"medium_count": 3,
"low_count": 1
}
Optional scripts for policy compliance scanning:
# Scan site for policy violations
npm run policy-scan https://example.com
# Generate risk report
npm run risk-report
# Find affiliate link violations
npm run affiliate-check
# Screen for prohibited keywords
npm run prohibited-keyword-scan
Outputs:
policy-violations.json - Violations by criterionrisk-report.md - Human-readable reportcritical-issues.csv - Issues needing immediate actionremediation-guide.md - How to fix each issue[policy-risk-scanner] provides input to:
└─→ [policy-remediation-plan]
├─→ Content removal/revision strategies
├─→ Affiliate disclosure templates
├─→ Privacy policy generators
├─→ Data protection implementation
└─→ Regulated content handling guides
[ads-readiness-assessment] calls this skill
[resubmission-readiness-check] verifies fixes
Issue: "Our supplement cures cancer" Fix: Rewrite to "May support immune health" with studies Time: 1-2 hours per page Priority: CRITICAL
Issue: Amazon links without FTC disclosure Fix: Add "As an Amazon Associate, we earn from..." Time: 5-10 min per post Priority: HIGH
Issue: "Guaranteed to lose 50 pounds" Fix: Add disclaimers, use cautious language Time: 30-60 min per page Priority: HIGH
Issue: No data deletion/export process described Fix: Update privacy policy + add request form Time: 2-4 hours Priority: MEDIUM
Issue: Recommending treatment without evidence Fix: Add disclaimers, cite studies, recommend doctors Time: 1-2 hours per page Priority: CRITICAL
Related Skills:
policy-remediation-planads-readiness-assessmentresubmission-readiness-check