huifer/adsense-readiness-benchmark · Archived

arb-full-audit

Unified orchestrator for the complete ARB lifecycle.

First seen Jul 16, 2026

Installation

$ npx skills add huifer/adsense-readiness-benchmark --skill arb-full-audit

Summary

  • Unified orchestrator for the complete ARB lifecycle.
  • Accepts a URL + site type and automatically routes through all 4 Gates in sequence, halting at any veto condition.
  • Produces a single consolidated report with score, grade, veto alerts, approval probability, and prioritized fix list.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 11
Default branch main
Open issues 0
Status Archived

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 12,979 B
  • docs SUMMARY.md 307 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 4 installs

SKILL.md

ARB Full Audit — Unified Orchestrator

Single entry point that runs the entire ARB evaluation pipeline end-to-end. Replaces manual skill sequencing for users who want a complete audit in one invocation.

Quick Start

Input: Website URL + site type + optional score mode Output: Consolidated Markdown report + JSON scorecard + prioritized fix list + approval probability Time: 45–90 minutes for full 105-item pass

Required Inputs

Field Required Default Notes
url Yes — Full URL including scheme (https://)
site_type Yes — blog / tool / affiliate / news / ecommerce / forum
score_mode No Core 79 + Profile Core 79 / Core 79 + Profile / Full 105
traffic_tier No unknown starter (<1K UV/mo) / growth (1K–50K) / scale (50K+)
target_networks No adsense Comma-separated: adsense, ezoic, mediavine, raptive, aps

Output Contract

Every arb-full-audit run must declare:

{
  "meta": {
    "url": "<evaluated URL>",
    "site_type": "<declared type>",
    "score_mode": "<Core 79 | Core 79 + Profile | Full 105>",
    "traffic_tier": "<starter | growth | scale | unknown>",
    "evaluated_item_count": 0,
    "selected_profile_items": [],
    "triggered_extension_items": [],
    "timestamp": "<ISO 8601>",
    "arb_version": "3.0"
  },
  "scores": {
    "CI": { "score": 0, "max": 0, "pct": 0 },
    "PC": { "score": 0, "max": 0, "pct": 0 },
    "TH": { "score": 0, "max": 0, "pct": 0 },
    "UX": { "score": 0, "max": 0, "pct": 0 },
    "TD": { "score": 0, "max": 0, "pct": 0 },
    "SI": { "score": 0, "max": 0, "pct": 0 },
    "total_weighted": 0,
    "grade": "<Ready | Minor Fixes | Significant Work | Major Overhaul | Not Ready>"
  },
  "veto": {
    "triggered": false,
    "items": [],
    "gate_stopped_at": null
  },
  "approval_probability": {
    "estimate": "<high | medium | low | very_low>",
    "pct_range": "<e.g. 60–80%>",
    "confidence": "<statistical estimate — not an official Google signal>",
    "primary_risk_factors": []
  },
  "findings": [],
  "top_fixes": [],
  "network_gaps": {},
  "next_skills": []
}

Approval probability is a statistical estimate based on score ranges and common rejection patterns. It is not an official signal from Google or any ad network.

Gate Execution Flow

Input: URL + site_type + score_mode
  │
  ▼
┌─────────────────────────────────┐
│  GATE 1 — Technical Baseline    │  ← technical-audit (TH01–TH20)
│  Skill: technical-audit         │
└────────────────┬────────────────┘
                 │
         TH01 (HTTPS) fail?
         ┌───── YES ─────────────────→ STOP: emit veto report
         │                              reason: TH01 — HTTPS disabled
         NO
         ▼
┌─────────────────────────────────┐
│  GATE 2 — Content, Policy,      │  ← ads-readiness-assessment
│           Spam & Copyright      │    content-audit (CI01–CI18)
│                                 │    policy-risk-scanner (PC01–PC13)
│                                 │    seo-spam-detection (SI01–SI16)
│                                 │    copyright-ip-check (CI/PC cross)
└────────────────┬────────────────┘
                 │
         Any PC01–PC13 fail?
         ┌───── YES ─────────────────→ STOP: emit veto report
         │                              reason: PC veto — list items
         NO
         ▼
┌─────────────────────────────────┐
│  GATE 3 — Trust, UX,            │  ← ux-compliance-audit (UX01–UX18)
│           Disclosures           │    trust-credibility-strategy (TD01–TD20)
│                                 │    affiliate-link-compliance (PC10/TD cross)
└────────────────┬────────────────┘
                 │
         TD01 (Privacy Policy) fail?
         ┌───── YES ─────────────────→ STOP: emit veto report
         │                              reason: TD01 — no privacy policy
         NO
         ▼
┌─────────────────────────────────┐
│  GATE 4 — Score & Report        │  ← Aggregate all pillar scores
│                                 │    Apply site-type weights
│                                 │    Compute grade + approval_probability
│                                 │    Generate top_fixes list
│                                 │    Invoke network gap analysis (if
│                                 │    target_networks specified)
└────────────────┬────────────────┘
                 │
                 ▼
         Full consolidated report

Step-by-Step Execution

Step 1: Collect Inputs

Confirm with the user:

  • Site URL (required)
  • Site type (required): blog / tool / affiliate / news / ecommerce / forum
  • Score mode (default: Core 79 + Profile)
  • Traffic tier (optional but improves benchmarking)
  • Target ad networks beyond AdSense (optional; triggers multi-network-readiness overlay)

If any required input is missing, pause and request it before proceeding. Do not assume defaults silently.

Step 2: Declare Scope

Before running any evaluation, emit the scope header:

## ARB Audit Scope
- URL: <url>
- Site Type: <type>
- Score Mode: <mode>
- Core Items: 79
- Profile Extension Items: <n> (<profile name>)
- Conditional Trigger Items: <n> (list triggers)
- Total Evaluated Items: <sum>
- Traffic Tier: <tier>
- Target Networks: <list>

Step 3: Run Gate 1 — Technical Baseline

Execute technical-audit across all TH01–TH20 items.

Veto check after Gate 1:

  • If TH01 = Fail → immediately halt, emit veto report, do NOT proceed to Gate 2
  • Note any TH items that are Fail/Partial for the final report

Step 4: Run Gate 2 — Content, Policy, Spam, Copyright

Execute in parallel where evidence allows:

  • content-audit → CI01–CI18
  • policy-risk-scanner → PC01–PC13
  • seo-spam-detection → SI01–SI16
  • copyright-ip-check → CI/PC cross-items

Veto check after Gate 2:

  • If any PC01–PC13 = Fail → halt, emit veto report listing all failing PC items
  • Continue only when all PC items are Pass or Partial (Partial PC items must be flagged as high-priority in the final report)

Step 5: Run Gate 3 — Trust, UX, Disclosures

Execute:

  • ux-compliance-audit → UX01–UX18
  • trust-credibility-strategy → TD01–TD20
  • affiliate-link-compliance → PC10/TD cross-items

Veto check after Gate 3:

  • If TD01 = Fail → halt, emit veto report
  • Record all TD and UX Fail/Partial items

Step 6: Aggregate Scores & Generate Report

Apply site-type weighted scoring per ARB-benchmark.md Part 3:

  1. For each pillar: pillar_score = (sum of item scores / max possible) × 100
  2. For total: total = Σ(pillarscore × pillarweight[site_type])
  3. Assign grade from threshold table
  4. Compute approval_probability estimate (see table below)
  5. Generate topfixes — top 10 items by: severity × (pillarweight × item_gap)
  6. If target_networks is set, invoke multi-network-readiness overlay

Approval Probability Table (statistical estimate, not an official signal):

Total Score Estimate Pct Range Notes
90–100 high 80–92% Remaining risk mainly geo/niche restrictions
75–89 medium 55–75% Fix all Partial veto-adjacent items before submitting
60–74 low 25–50% Systematic fixes needed across 2–3 pillars
40–59 very_low 8–22% Major overhaul required
0–39 very_low <8% Not ready; complete Phase 1 remediation first

Step 7: Route to Next Skills

Based on results, emit next_skills array with context:

Condition Recommended skill
CI score < 70 content-improvement-blueprint
TH score < 70 technical-remediation-guide
UX score < 70 ux-optimization-roadmap
PC any Fail/Partial policy-remediation-plan
TD score < 70 trust-credibility-strategy
SI score < 70 seo-spam-detection → content-improvement-blueprint
All ≥ 75 resubmission-readiness-check
Rejection history rejection-root-cause-analysis
multi-network target multi-network-readiness
AI content suspected ai-content-compliance
Traffic tier = scale geo-localization-compliance, competitive-benchmark
Agency context agency-batch-auditor

Veto Report Format

When a gate veto fires, emit this structure and stop:

# ⛔ ARB Audit Halted — Veto Condition

**Gate**: <Gate number and name>
**Veto Item(s)**: <item IDs>
**Reason**: <plain-language explanation>

## What This Means

<1–2 sentences on why this is a hard blocker>

## Required Fix

<Specific, actionable fix steps>

## Estimated Time to Resolve

<Time estimate>

## Next Step After Fix

Re-run `arb-full-audit` from Gate 1 once the veto condition is resolved.
Do not proceed to subsequent gates before fixing the veto item(s).

Consolidated Report Format

When all gates pass, emit the full report:

# ARB Full Audit Report

**Site**: <url>  
**Date**: <ISO date>  
**Site Type**: <type>  
**Score Mode**: <mode>  
**ARB Version**: 3.0  

---

## Scorecard

| Pillar | Score | Max | % | Weight | Weighted |
|--------|-------|-----|---|--------|---------|
| CI – Content Integrity | | | | | |
| PC – Policy Compliance | | | | | |
| TH – Technical Health | | | | | |
| UX – User Experience | | | | | |
| TD – Trust & Disclosure | | | | | |
| SI – Search Integrity | | | | | |
| **TOTAL** | | | | | **XX.X** |

**Grade**: <grade>  
**Approval Probability**: <estimate> (<pct_range>) — *statistical estimate, not an official signal*

---

## Veto Status

✅ No veto conditions triggered.
*or*
⛔ Veto triggered at Gate N: <items>

---

## Top 10 Priority Fixes

| Priority | Item | Pillar | Severity | Est. Effort |
|----------|------|--------|----------|-------------|
| 1 | | | | |
...

---

## Full Findings by Pillar

### Content Integrity (CI)
<findings table with status per item>

### Policy Compliance (PC)
<findings table>

### Technical Health (TH)
<findings table>

### User Experience (UX)
<findings table>

### Trust & Disclosure (TD)
<findings table>

### Search Integrity (SI)
<findings table>

---

## Network Readiness (if applicable)

<multi-network-readiness overlay when target_networks specified>

---

## Approval Probability Detail

<breakdown of risk factors>

---

## Recommended Next Skills

<next_skills with rationale>

---

## Audit Metadata

- Evaluated items: <n>
- Profile extension items: <list>
- Conditional trigger items: <list>
- Score mode: <mode>
- Traffic tier: <tier>

Scoring Mode Rules (Inherited from ARB-benchmark.md)

  • Never mix items from different score modes without documenting it
  • If the site is multi-model, escalate to Full 105 and document this
  • Core 79 mode disables profile and conditional extension items
  • Full 105 evaluates all 105 items regardless of site type

Quality Constraints (Inherited from AGENTS.md)

  1. Do not invent evidence — every finding requires an observable artifact
  2. Do not infer Pass without data — prefer Partial + manual-review note
  3. Veto precedence is absolute — a high total score cannot override a veto item
  4. Score mode must be declared and match the actual evaluated item set
  5. approval_probability must always carry its disclaimer in output

Checklist

  1. ✓ Inputs collected and scope declared
  2. ✓ Gate 1 complete — TH veto check passed
  3. ✓ Gate 2 complete — PC veto check passed
  4. ✓ Gate 3 complete — TD veto check passed
  5. ✓ Scores aggregated with site-type weights
  6. ✓ Grade assigned
  7. ✓ approval_probability computed with disclaimer
  8. ✓ top_fixes list generated (≥ 5 items)
  9. ✓ next_skills array populated with context
  10. ✓ JSON + Markdown report emitted