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Auditing a paid ad account for incremental contribution

Ad account auditor

by aaron-he-zhu · Apache-2.0 license · ★ 2,839 on GitHub · v20.1.0

Ad account auditor cover

Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data.…

---
name: ad-account-auditor
slug: aaron-ad-account-auditor
displayName: "Ad Account Auditor · 付费广告账户审计"
summary: "付费广告账户审计/ROAS评分"
description: 'Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分'
version: "20.1.0"
license: Apache-2.0
compatibility: "Claude Code and compatible agent-skill hosts"
homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
when_to_use: "Use when checking whether a paid account or portfolio is safe to launch or scale. Requires normalized own-data outcomes, attribution windows, currency, conversion lag, and business constraints."
argument-hint: "<campaign + outcome exports> <currency/window/lag> [profile]"
allowed-tools: WebFetch
class: auditor
metadata: {"author": "aaron-he-zhu", "version": "20.1.0", "discipline": "ad", "phase": "activate", "geo-relevance": "medium", "hermes": {"tags": ["marketing", "ad", "activate"], "category": "ad"}, "openclaw": {"emoji": "🎯", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
---

# Ad Account Auditor

Overview

Audit one paid-media account or portfolio for incremental contribution and operating quality under declared constraints. Platform-reported ROAS is one input, never the objective or truth set by itself.

Manual install (npx, ZIP)
Claude Codenpx skills add aaron-he-zhu/aaron-marketing-skills --skill ad-account-auditor -g -a claude-code
Claude Code (degit)npx degit aaron-he-zhu/aaron-marketing-skills/ad/activate/ad-account-auditor#main ~/.claude/skills/ad-account-auditor
Claude.ai / desktopZip the folder and upload it under Settings → Capabilities → Skills.
Codex, Cursor, other agentsPoint them at SKILL.md. The other files are plain text.

Connects with Agent Alley MCP · agentalley.io/mcp

Files included

  • SKILL.md8.6 KB
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aaron-he-zhu/main1 file shown
SKILL.md
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Ad Account Auditor

Audit one paid-media account or portfolio for incremental contribution and operating quality under declared constraints. Platform-reported ROAS is one input, never the objective or truth set by itself.

When This Must Trigger

  • Before launching, materially increasing spend, or changing a risky bid/targeting strategy.
  • When tracking, attribution inflation, unsafe placements, claims, or wasted spend are in doubt.
  • When the user requests a ROAS/RQS account audit from their exports.

Quick Start

Audit this USD account for direct response using 7-day click, 3-day lag, and $120 CAC ceiling.
Run the incremental-profit profile against the holdout and order-ID exports.

Skill Contract

Reads: one normalized account/portfolio evidence set. Writes: only a permissioned v3 artifact. Done when: required context and all 20 states are explicit, vetoes use verified evidence, and scorer output is reported without executing spend changes.

This skill judges. conversion-signal-qa, attribution-reconciler, campaign-architect, ad-creative-builder, and budget-pacing-monitor build/fix the inputs. Never enable campaigns, change bids, upload audiences, or scale budgets without separate explicit approval.

For a pre-launch account-audit request, use the narrow route conversion-signal-qa immediately before this gate. Do not automatically insert placement-exclusion-manager or conversion-value-mapper between signal QA and the audit; missing placement or value evidence remains Unknown in this run, and those sibling builders become separate remediation only when the user requests them or the completed gate identifies the corresponding finding.

Data Sources

Need Preferred evidence
Delivery/spend Campaign, query, placement, audience, and change-history exports
Outcome truth Deduplicated order/lead IDs from ecommerce, analytics, or CRM
Economics Currency, margin/contribution, CAC/payback constraint
Attribution Platform + own-data timestamps/IDs, normalized windows and lag
Safety/claims Placement report, rendered ad/landing, approved claim/disclosure state from offer-claims-registry (the paid claims SSOT)
Incrementality Holdout/geo split/causal test, otherwise explicitly labeled proxy

Instructions

Runtime Reads
  • ../../../references/auditor-runbook.md
  • ../../../references/scoring-semantics.md
  • ../../../references/roas-benchmark.md
  • ../../../references/runtime-invocation.md
  • references/auditor-runtime.md
Runtime and Setup

Read ../../../references/auditor-runbook.md, scoring-semantics.md, roas-benchmark.md, and the ROAS catalog entry. Standalone installs use bundled immutable references/auditor-runtime.md; never fetch mutable main. Before deterministic calls, follow runtime-invocation.md, resolve AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}", and require the scorer, validator, and typed catalogs. If unavailable, return score_state: NOT_SCORED / score_confidence: not_scored with no gate verdict or persistent artifact.

Declare profile (direct-response|prospecting|incremental-profit), target, currency, attribution window, conversion lag, business constraint, goal, and observation date. If any required context is missing, return NEEDS_INPUT/UNDECIDED.

Evidence and Scoring
  1. Normalize currency, windows, IDs, lag, and portfolio scope before comparing metrics.
  2. Score all 20 R1..S5 criteria from the benchmark with source/date/type/confidence.
  3. Use Unknown for missing own-data truth, placement exports, or reconciliation. No data is not a veto and cannot be N/A merely because access is inconvenient.
  4. Verify vetoes:
    • ROAS-R1: instrumentation demonstrably fails the named own-data truth set.
    • ROAS-R2: material double-counting/inflation is demonstrated.
    • ROAS-O1: material claim/disclosure failure against the offer-claims-registry approved state.
    • ROAS-O2: applicable platform/restricted-category violation.
    • ROAS-A1: placement evidence demonstrates a material safety breach.
  5. Run the typed scorer. Report estimated/proxy incrementality as such; do not call platform attribution causal.

§2 ROAS Worked Examples

  • Complete direct-response profile, raw 78, no veto/fail: DONE/SHIP, final 78.
  • Complete profile, raw 78, one verified R1 failure: DONE_WITH_CONCERNS/FIX, final 59.
  • Complete profile, verified R1 and R2 failures: DONE/BLOCK, raw retained, no final score.
  • Missing placement report: A1 Unknown, NEEDS_INPUT/UNDECIDED, no overall score.

§3 ROAS Guardrails

  • High reported ROAS can reflect under-spend, branded-demand capture, or attribution inflation.
  • Learning-phase disruption is an S2 finding, not an automatic veto.
  • ATT/modeled data may reduce confidence; it does not automatically fail R1.
  • Frequency, creative fatigue, and audience saturation require separate evidence.
  • Never compare cross-platform returns before normalizing currency/window/lag and deduplicating outcomes.

§5 ROAS Translation

Lead with business impact and evidence. On trace request, qualify ROAS-R1/R2/O1/O2/A1; do not expose bare IDs that collide with RAMP/ECHO/TALE.

Report and Verdict

Begin with the auditor-runbook's exact typed conversation header. Never replace status, verdict, or score_state with prose; list each explicitly missing qualified item as ``ID: `unknown``` before findings.

Show verdict, profile/context, score or coverage/interval, confidence, R/O/A/S detail, reconciliation table, verified critical controls, Unknown evidence, and prioritized fix/owner/rerun condition. The scorer owns status/verdict and the 59 ceiling.

Validation Checkpoints

  • Scope/currency/window/lag/constraint/goal are explicit.
  • Own-data outcome truth is separated from platform self-report.
  • All 20 items have valid states and provenance; Unknown is not renormalized.
  • Veto failures are positively verified.
  • No spend/account mutation occurred without separate approval.

Persistence

Persist only after explicit authorization to memory/audits/ad/YYYY-MM-DD-<topic>.md. Assemble and validate the complete v3 draft with validate-audit-artifact.py against that intended --relative-path, persist only through one full-content Write, then revalidate the target as required by the auditor runbook. Edit/shell/MCP mutations of the reserved sink are unsupported. Do not autonomously write hot cache, claims, candidates, or account state.

Reference Materials

Next Best Skill

1---
2name: ad-account-auditor
3slug: aaron-ad-account-auditor
4displayName: "Ad Account Auditor · 付费广告账户审计"
5summary: "付费广告账户审计/ROAS评分"
6description: 'Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分'
7version: "20.1.0"
8license: Apache-2.0
9compatibility: "Claude Code and compatible agent-skill hosts"
10homepage: "https://github.com/aaron-he-zhu/aaron-marketing-skills"
11when_to_use: "Use when checking whether a paid account or portfolio is safe to launch or scale. Requires normalized own-data outcomes, attribution windows, currency, conversion lag, and business constraints."
12argument-hint: "<campaign + outcome exports> <currency/window/lag> [profile]"
13allowed-tools: WebFetch
14class: auditor
15metadata: {"author": "aaron-he-zhu", "version": "20.1.0", "discipline": "ad", "phase": "activate", "geo-relevance": "medium", "hermes": {"tags": ["marketing", "ad", "activate"], "category": "ad"}, "openclaw": {"emoji": "🎯", "homepage": "https://github.com/aaron-he-zhu/aaron-marketing-skills"}}
16---
17 
18# Ad Account Auditor
19 
20Audit one paid-media account or portfolio for incremental contribution and operating quality under declared constraints. Platform-reported ROAS is one input, never the objective or truth set by itself.
21 
22## When This Must Trigger
23 
24- Before launching, materially increasing spend, or changing a risky bid/targeting strategy.
25- When tracking, attribution inflation, unsafe placements, claims, or wasted spend are in doubt.
26- When the user requests a ROAS/RQS account audit from their exports.
27 
28## Quick Start
29 
30```text
31Audit this USD account for direct response using 7-day click, 3-day lag, and $120 CAC ceiling.
32Run the incremental-profit profile against the holdout and order-ID exports.
33```
34 
35## Skill Contract
36 
37**Reads:** one normalized account/portfolio evidence set. **Writes:** only a permissioned v3 artifact. **Done when:** required context and all 20 states are explicit, vetoes use verified evidence, and scorer output is reported without executing spend changes.
38 
39This skill judges. `conversion-signal-qa`, `attribution-reconciler`, `campaign-architect`, `ad-creative-builder`, and `budget-pacing-monitor` build/fix the inputs. Never enable campaigns, change bids, upload audiences, or scale budgets without separate explicit approval.
40 
41For a pre-launch account-audit request, use the narrow route `conversion-signal-qa` immediately before this gate. Do not automatically insert `placement-exclusion-manager` or `conversion-value-mapper` between signal QA and the audit; missing placement or value evidence remains Unknown in this run, and those sibling builders become separate remediation only when the user requests them or the completed gate identifies the corresponding finding.
42 
43## Data Sources
44 
45| Need | Preferred evidence |
46|---|---|
47| Delivery/spend | Campaign, query, placement, audience, and change-history exports |
48| Outcome truth | Deduplicated order/lead IDs from ecommerce, analytics, or CRM |
49| Economics | Currency, margin/contribution, CAC/payback constraint |
50| Attribution | Platform + own-data timestamps/IDs, normalized windows and lag |
51| Safety/claims | Placement report, rendered ad/landing, approved claim/disclosure state from [offer-claims-registry](../../../protocol/offer-claims-registry/SKILL.md) (the paid claims SSOT) |
52| Incrementality | Holdout/geo split/causal test, otherwise explicitly labeled proxy |
53 
54## Instructions
55 
56### Runtime Reads
57 
58- `../../../references/auditor-runbook.md`
59- `../../../references/scoring-semantics.md`
60- `../../../references/roas-benchmark.md`
61- `../../../references/runtime-invocation.md`
62- `references/auditor-runtime.md`
63 
64### Runtime and Setup
65 
66Read `../../../references/auditor-runbook.md`, `scoring-semantics.md`, `roas-benchmark.md`, and the ROAS catalog entry. Standalone installs use bundled immutable `references/auditor-runtime.md`; never fetch mutable `main`. Before deterministic calls, follow [`runtime-invocation.md`](../../../references/runtime-invocation.md), resolve `AARON_SKILLS_ROOT="${CLAUDE_PLUGIN_ROOT:-$(git rev-parse --show-toplevel 2>/dev/null || true)}"`, and require the scorer, validator, and typed catalogs. If unavailable, return `score_state: NOT_SCORED` / `score_confidence: not_scored` with no gate verdict or persistent artifact.
67 
68Declare profile (`direct-response|prospecting|incremental-profit`), target, currency, attribution window, conversion lag, business constraint, goal, and observation date. If any required context is missing, return `NEEDS_INPUT/UNDECIDED`.
69 
70### Evidence and Scoring
71 
721. Normalize currency, windows, IDs, lag, and portfolio scope before comparing metrics.
732. Score all 20 `R1..S5` criteria from the benchmark with source/date/type/confidence.
743. Use Unknown for missing own-data truth, placement exports, or reconciliation. No data is not a veto and cannot be N/A merely because access is inconvenient.
754. Verify vetoes:
76 - `ROAS-R1`: instrumentation demonstrably fails the named own-data truth set.
77 - `ROAS-R2`: material double-counting/inflation is demonstrated.
78 - `ROAS-O1`: material claim/disclosure failure against the `offer-claims-registry` approved state.
79 - `ROAS-O2`: applicable platform/restricted-category violation.
80 - `ROAS-A1`: placement evidence demonstrates a material safety breach.
815. Run the typed scorer. Report estimated/proxy incrementality as such; do not call platform attribution causal.
82 
83## §2 ROAS Worked Examples
84 
85- Complete direct-response profile, raw 78, no veto/fail: `DONE/SHIP`, final 78.
86- Complete profile, raw 78, one verified R1 failure: `DONE_WITH_CONCERNS/FIX`, final 59.
87- Complete profile, verified R1 and R2 failures: `DONE/BLOCK`, raw retained, no final score.
88- Missing placement report: A1 Unknown, `NEEDS_INPUT/UNDECIDED`, no overall score.
89 
90## §3 ROAS Guardrails
91 
92- High reported ROAS can reflect under-spend, branded-demand capture, or attribution inflation.
93- Learning-phase disruption is an S2 finding, not an automatic veto.
94- ATT/modeled data may reduce confidence; it does not automatically fail R1.
95- Frequency, creative fatigue, and audience saturation require separate evidence.
96- Never compare cross-platform returns before normalizing currency/window/lag and deduplicating outcomes.
97 
98## §5 ROAS Translation
99 
100Lead with business impact and evidence. On trace request, qualify `ROAS-R1/R2/O1/O2/A1`; do not expose bare IDs that collide with RAMP/ECHO/TALE.
101 
102## Report and Verdict
103 
104Begin with the auditor-runbook's exact typed conversation header. Never replace `status`, `verdict`, or `score_state` with prose; list each explicitly missing qualified item as ``ID: `unknown``` before findings.
105 
106Show verdict, profile/context, score or coverage/interval, confidence, R/O/A/S detail, reconciliation table, verified critical controls, Unknown evidence, and prioritized fix/owner/rerun condition. The scorer owns status/verdict and the 59 ceiling.
107 
108## Validation Checkpoints
109 
110- Scope/currency/window/lag/constraint/goal are explicit.
111- Own-data outcome truth is separated from platform self-report.
112- All 20 items have valid states and provenance; Unknown is not renormalized.
113- Veto failures are positively verified.
114- No spend/account mutation occurred without separate approval.
115 
116## Persistence
117 
118Persist only after explicit authorization to `memory/audits/ad/YYYY-MM-DD-<topic>.md`. Assemble and validate the complete v3 draft with `validate-audit-artifact.py` against that intended `--relative-path`, persist only through one full-content Write, then revalidate the target as required by the auditor runbook. Edit/shell/MCP mutations of the reserved sink are unsupported. Do not autonomously write hot cache, claims, candidates, or account state.
119 
120## Reference Materials
121 
122- [ROAS benchmark](../../../references/roas-benchmark.md)
123- [Measurement protocol](../../../references/measurement-protocol.md)
124- [Auditor runbook](../../../references/auditor-runbook.md)
125- [Scoring semantics](../../../references/scoring-semantics.md)
126 
127## Next Best Skill
128 
129- **Tracking:** [conversion-signal-qa](../conversion-signal-qa/SKILL.md)
130- **Claims/disclosures:** [offer-claims-registry](../../../protocol/offer-claims-registry/SKILL.md) — the approved claim/disclosure state behind `ROAS-O1`
131- **Attribution:** [attribution-reconciler](../../scale/attribution-reconciler/SKILL.md)
132- **Structure/audience:** [campaign-architect](../../research/campaign-architect/SKILL.md)
133- **Pacing:** [budget-pacing-monitor](../../scale/budget-pacing-monitor/SKILL.md)
134 
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Details

Version
20.1.0
License
Apache-2.0
Stars on the repo
★ 2,839
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Source
aaron-he-zhu/aaron-marketing-skills ↗
Creator
aaron-he-zhu · 99 listings
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