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 skills add itsjwill/ad-audit-pro --skill ads-plangit 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-plan)<a href="https://agentmods.dev/skills/itsjwill/ad-audit-pro/ads-plan"><img src="https://agentmods.dev/badge/skills/itsjwill/ad-audit-pro/ads-plan.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 5.1 | $0.00062 | $0.01700 |
| Opus 5 | $0.00031 | $0.00850 |
| Sonnet 5 | $0.00012 | $0.00340 |
| Haiku 4.5 | $0.00006 | $0.00170 |
Grade A, and why
ads-plan 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 7d 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.
This is a copy
95% identical to ads-plan — 55 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategic Paid Advertising Plan
Process
1. Discovery
- Business type, products/services, target audience
- Current advertising status (active platforms, spend, performance)
- Goals: brand awareness, lead generation, e-commerce sales, app installs
- Budget range (monthly/quarterly)
- Timeline and urgency
- In-house team capacity vs agency needs
2. Competitive Analysis
- Identify top 3-5 competitors
- Analyze their ad presence across platforms (Google Ads Transparency, Meta Ad Library)
- Estimate competitor spend levels and platform mix
- Identify messaging themes and creative approaches
- Note keyword/audience gaps (opportunities competitors are missing)
3. Platform Selection
- Load industry template from
assets/directory - Match business type to recommended platform mix
- Read
ads/references/budget-allocation.mdfor platform selection matrix - Read
ads/references/conversion-tracking.mdfor tracking setup requirements - Assess platform fit based on:
- Target audience demographics per platform
- Product/service type suitability
- Budget requirements per platform (minimums)
- Sales cycle length and attribution needs
- Creative capabilities and content availability
4. Campaign Architecture
Naming Convention
[Platform]_[Objective]_[Audience]_[Geo]_[Date]
Example: META_CONV_Prospecting_US_2026Q1
Campaign Structure Template
Account
├── Brand Campaign (always-on, protect brand terms)
├── Non-Brand Prospecting
│ ├── Campaign 1: [Top Funnel - Awareness]
│ │ ├── Ad Group/Set 1: [Audience A]
│ │ └── Ad Group/Set 2: [Audience B]
│ ├── Campaign 2: [Mid Funnel - Consideration]
│ │ ├── Ad Group/Set 1: [Interest-based]
│ │ └── Ad Group/Set 2: [Lookalike/Similar]
│ └── Campaign 3: [Bottom Funnel - Conversion]
│ ├── Ad Group/Set 1: [High-intent]
│ └── Ad Group/Set 2: [Custom audience]
├── Retargeting
│ ├── Website Visitors (7-30 days)
│ ├── Engaged Users (video views, social engagement)
│ └── Cart Abandoners / Form Starters
└── Testing
└── New audiences, formats, or messaging
What ships with it
11 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.
- assets/agency.md 7.2 KB
- assets/b2b-enterprise.md 6.9 KB
- assets/ecommerce.md 6.3 KB
- assets/finance.md 8.8 KB
- assets/generic.md 7.9 KB
- assets/healthcare.md 8.1 KB
- assets/info-products.md 7.0 KB
- assets/local-service.md 6.7 KB
- assets/mobile-app.md 7.5 KB
- assets/real-estate.md 7.2 KB
- assets/saas.md 5.8 KB
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.
- 7d ago First seen · 180 lines · 62 tokens per session scan A 2ef508e655c2
ads-plan is a skill published in the GitHub repository itsjwill/ad-audit-pro (9 stars, last pushed 6mo ago), licensed MIT. It adds 62 tokens to every session and 1,700 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to ads-plan, differing in 55 lines, and is treated as a copy.
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