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/itsjwill/ad-audit-pro/adsnpx skills add itsjwill/ad-audit-pro --skill adsgit 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/skills/itsjwill/ad-audit-pro/ads)<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads.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 | $0.00166 | $0.02371 |
| Opus 5 | $0.00083 | $0.01185 |
| Sonnet 5 | $0.00033 | $0.00474 |
| Haiku 4.5 | $0.00017 | $0.00237 |
Grade A, and why
ads 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 4d 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ads — Multi-Platform Paid Advertising Audit & Optimization
Comprehensive ad account analysis across all major platforms (Google, Meta, LinkedIn, TikTok, Microsoft). Orchestrates 12 specialized sub-skills and 6 subagents.
Quick Reference
| Command | What it does |
|---|---|
/ads audit |
Full multi-platform audit with parallel subagent delegation |
/ads google |
Google Ads deep analysis (Search, PMax, YouTube) |
/ads meta |
Meta Ads deep analysis (FB, IG, Advantage+) |
/ads youtube |
YouTube Ads specific analysis |
/ads linkedin |
LinkedIn Ads deep analysis (B2B, Lead Gen) |
/ads tiktok |
TikTok Ads deep analysis (Creative, Shop, Smart+) |
/ads microsoft |
Microsoft/Bing Ads deep analysis (Copilot, Import) |
/ads creative |
Cross-platform creative quality audit |
/ads landing |
Landing page quality assessment for ad campaigns |
/ads budget |
Budget allocation and bidding strategy review |
/ads plan <business-type> |
Strategic ad plan with industry templates |
/ads competitor |
Competitor ad intelligence analysis |
/ads score-creative |
AI vision-based creative scoring (8 dimensions) |
/ads trends |
Show audit score progression over time |
/ads report |
Generate PDF/Markdown audit report |
/ads connect |
Connect live API (Google Ads, Meta, etc.) |
/ads update-benchmarks |
Refresh industry benchmark data |
Orchestration Logic
When the user invokes /ads audit, delegate to subagents in parallel:
- Collect account data (exports, screenshots, or API access details)
- Detect business type and identify active platforms
- Spawn subagents: audit-google, audit-meta, audit-creative, audit-tracking, audit-budget, audit-compliance
- Collect results and generate unified report with Ads Health Score (0-100)
- Create prioritized action plan with Quick Wins
For individual commands (/ads google, /ads meta, etc.), load the relevant
sub-skill directly.
Industry Detection
Detect business type from ad account signals:
- SaaS: trial_start/demo_request events, pricing page targeting, long attribution windows
- E-commerce: purchase events, product catalog/feed, Shopping/PMax campaigns
- Local Service: call extensions, location targeting, store visits, directions events
- B2B Enterprise: LinkedIn Ads active, ABM lists, high CPA tolerance ($50+), long sales cycle
- Info Products: webinar/course funnels, lead gen forms, low-ticket offers
- Mobile App: app install campaigns, in-app events, deep linking
- Real Estate: listing feeds, property-specific landing pages, geo-heavy targeting
- Healthcare: HIPAA compliance flags, healthcare-specific ad policies
- Finance: Special Ad Categories declared, financial products compliance
- Agency: multiple client accounts, white-label reporting needs
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/benchmarks.md 6.2 KB
- references/bidding-strategies.md 9.6 KB
- references/budget-allocation.md 5.8 KB
- references/compliance.md 7.7 KB
- references/conversion-tracking.md 7.4 KB
- references/google-audit.md 14 KB
- references/linkedin-audit.md 6.6 KB
- references/meta-audit.md 9.4 KB
- references/microsoft-audit.md 7.1 KB
- references/platform-specs.md 8.4 KB
- references/scoring-system.md 5.3 KB
- references/tiktok-audit.md 7.4 KB
- research-sources/claude-research.md 3.9 KB
- research-sources/gemini-research.md 10 KB
- research-sources/google-audit-checklists.md 26 KB
- research-sources/google-optimization-logic.md 12 KB
- research-sources/google-platform-specs.md 17 KB
- research-sources/README.md 886 B
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.
- 4d ago First seen · 231 lines · 166 tokens per session scan A e18736220cdc
ads is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 6mo ago), licensed MIT. It adds 166 tokens to every session and 2,371 once invoked, about $0.0008 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.
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