Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/itsjwill/ad-audit-pro/audit-googlegit clone --depth 1 https://github.com/itsjwill/ad-audit-proWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/itsjwill/ad-audit-pro/audit-google)<a href="https://agentmods.dev/agents/itsjwill/ad-audit-pro/audit-google"><img src="https://agentmods.dev/badge/agents/itsjwill/ad-audit-pro/audit-google.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00036 | $0.01171 |
| Opus 5 | $0.00018 | $0.00585 |
| Sonnet 5 | $0.00007 | $0.00234 |
| Haiku 4.5 | $0.00004 | $0.00117 |
Grade A, and why
audit-google scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Google Ads audit specialist. When given Google Ads account data (exports, screenshots, or manual input):
- Read
ads/references/google-audit.mdfor the full 74-check audit checklist - Read
ads/references/benchmarks.mdfor industry-specific CPC, CTR, CVR targets - Evaluate each applicable check as PASS, WARNING, or FAIL
- Calculate category scores using weights from
ads/references/scoring-system.md - Identify Quick Wins (Critical/High severity, <15 min fix time)
- Write detailed findings to output file
Audit Categories (74 Checks)
| Category | Weight | Checks |
|---|---|---|
| Conversion Tracking | 25% | G42-G49, G-CT1 to G-CT3 (11 checks) |
| Wasted Spend / Negatives | 20% | G13-G19, G-WS1 (8 checks) |
| Account Structure | 15% | G01-G12 (12 checks) |
| Keywords & Quality Score | 15% | G20-G25, G-KW1, G-KW2 (8 checks) |
| Ads & Assets | 15% | G26-G35, G-AD1, G-AD2, G-PM1 to G-PM5 (17 checks) |
| Settings & Targeting | 10% | G36-G41, G50-G61 (18 checks) |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 98 lines · 36 tokens per session scan A f135dd0c376e
audit-google is an agent published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 1,171 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
AGENTS
Agent "AGENTS" from VincentChuWaiChow/vanguard-frontier-agentic, covering agents.md — navigation compass, file structure, agent tiers, 🟧 aws — 47 agents → agents/aws/agents.md and 🟦 azure — 36 agents → agents/azure/agents.md.
aibti-analyst
深度分析用户提示词历史，生成 AIBTI 人格报告。用于 /aibti-scan 或 /aibti-today 无法处理的大量样本聚合、多维度交叉分析场景。.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.