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 skills/citedy/adclaw/ads-googlenpx skills add citedy/adclaw --skill ads-googlegit clone --depth 1 https://github.com/citedy/adclawWrote 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/skills/citedy/adclaw/ads-google)<a href="https://agentmods.dev/skills/citedy/adclaw/ads-google"><img src="https://agentmods.dev/badge/skills/citedy/adclaw/ads-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 | $0.00068 | $0.01722 |
| Opus 5 | $0.00034 | $0.00861 |
| Sonnet 5 | $0.00014 | $0.00344 |
| Haiku 4.5 | $0.00007 | $0.00172 |
Grade A, and why
ads-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 5d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Ads Deep Analysis
Process
- Collect Google Ads account data (export, Change History, Search Terms Report)
- Validate: confirm data covers ≥30 days and includes Search Terms Report before proceeding
- Read
ads-shared/references/google-audit.mdfor full 74-check audit - Read
ads-shared/references/benchmarks.mdfor Google-specific benchmarks - Read
ads-shared/references/scoring-system.mdfor weighted scoring - Evaluate all applicable checks as PASS, WARNING, or FAIL
- Validate: confirm all 74 checks evaluated before calculating score
- Calculate Google Ads Health Score (0-100)
- Generate findings report with action plan
What to Analyze
Conversion Tracking (25% weight)
- Google tag (gtag.js) installed and firing on all pages
- Enhanced Conversions active (hashed first-party data)
- Consent Mode v2 implemented (required for EU/EEA)
- Conversion actions mapped correctly (primary vs secondary)
- Offline conversion import configured (for lead gen)
- Server-side tagging via GTM (recommended for accuracy)
- Attribution model: data-driven preferred (last-click as fallback only)
- Conversion lag analysis (are conversions still trickling in?)
Wasted Spend (20% weight)
- Search Terms Report reviewed (last 30 days minimum)
- Negative keyword coverage adequate (shared lists + campaign-level)
- Display placement audit (exclude low-quality sites)
- Invalid click rate within norms (<10%)
- Broad Match only used with Smart Bidding (NEVER without it)
- Brand/non-brand campaigns separated
- Geographic targeting precise (no wasted international spend)
Negative Keyword Rules (critical: bad negatives kill campaigns):
- NEVER suggest Broad Match negatives unless explicitly justified; they block too broadly
- Default to Exact Match
[keyword]for specific irrelevant queries - Use Phrase Match
"keyword"for irrelevant intent patterns - Source negatives from actual Search Terms Report irrelevant queries, NOT guesses
- Group into themed lists: Informational (how-to, DIY, what is), Job-seeker (jobs, careers, salary), Competitor (only if intentionally excluded), Free-intent (free, crack, torrent)
- Recommend Shared Negative Lists at the account level, not just campaign-level
- Review existing negatives for over-blocking (are any negatives accidentally blocking converting queries?)
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.
- 5d ago First seen · 158 lines · 68 tokens per session scan A eea6c3f24814
ads-google is a skill published in the GitHub repository citedy/adclaw (35 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,722 once invoked, about $0.0003 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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