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.
git clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/naveedharri/benai-skills/audit-google)<a href="https://agentmods.dev/agents/naveedharri/benai-skills/audit-google"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/audit-google/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/naveedharri/benai-skills/audit-google"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/audit-google.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00036 | $0.01650 |
| Opus 5 | $0.00018 | $0.00825 |
| Sonnet 5 | $0.00007 | $0.00330 |
| Haiku 4.5 | $0.00004 | $0.00165 |
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 9d 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 — 129 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, FAIL, or N/A
- 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
Pre-Audit Data Validation
Before scoring, validate data quality:
- Minimum data window: ≥30 days of account data required for reliable scoring
- Activity check: Account must have active campaigns with spend in the data window
- Volume check: Google Ads needs ≥15 conversions in last 30 days for bidding checks to be meaningful
- If data is insufficient, display a ⚠️ Data Quality Warning at the top of the report:
"⚠️ Limited data: This audit covers [X] days with [Y] conversions. Scores marked with * may not reflect steady-state performance. Re-audit after 30+ days of consistent activity."
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.
- 9d ago First seen · 129 lines · 36 tokens per session scan A 887c41df4073
audit-google is an agent published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed 5d ago), licensed MIT. It adds 36 tokens to every session and 1,650 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 2026-08-30.
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