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 san-npm/skills-ws --skill paid-adsgit clone --depth 1 https://github.com/san-npm/skills-wsWrote 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/san-npm/skills-ws/paid-ads)<a href="https://agentmods.dev/skills/san-npm/skills-ws/paid-ads"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/paid-ads/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/skills/san-npm/skills-ws/paid-ads"><img src="https://agentmods.dev/badge/skills/san-npm/skills-ws/paid-ads.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 | $0.00072 | $0.00543 |
| Opus 5.5 | $0.00029 | $0.00217 |
| Sonnet 5.5 | $0.00014 | $0.00109 |
| Haiku 4.5 | $0.00007 | $0.00054 |
Grade A, and why
paid-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 2mo 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 — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paid Ads — Expert Playbook
Reference guide
Read only the references needed for the current request:
- When to Use This Skill: references/when-to-use-this-skill.md
- Campaign Architecture: references/campaign-architecture.md
- Budget Allocation Frameworks: references/budget-allocation-frameworks.md
- Bidding Strategies: references/bidding-strategies.md
- Ad Copy Formulas: references/ad-copy-formulas.md
- Audience Targeting: references/audience-targeting.md
- Negative Keyword Strategy (Google): references/negative-keyword-strategy-google.md
- Retargeting Sequences: references/retargeting-sequences.md
- Creative Testing Framework (Meta Ads): references/creative-testing-framework-meta-ads.md
- Landing Page Alignment: references/landing-page-alignment.md
- ROAS Benchmarks by Industry: references/roas-benchmarks-by-industry.md
- Measurement & Attribution: references/measurement-attribution.md
- Platform-Specific Playbooks: references/platform-specific-playbooks.md
- Performance Max (Google) Playbook: references/performance-max-google-playbook.md
- Audit Checklist: references/audit-checklist.md
- Ad Policy & Restricted Categories: references/ad-policy-restricted-categories.md
- Common Mistakes: references/common-mistakes.md
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.
- agents/openai.yaml 187 B
- references/ad-copy-formulas.md 3.0 KB
- references/ad-policy-restricted-categories.md 2.9 KB
- references/audience-targeting.md 2.9 KB
- references/audit-checklist.md 1.5 KB
- references/bidding-strategies.md 1.2 KB
- references/budget-allocation-frameworks.md 1.7 KB
- references/campaign-architecture.md 2.8 KB
- references/common-mistakes.md 853 B
- references/creative-testing-framework-meta-ads.md 1.4 KB
- references/landing-page-alignment.md 1.1 KB
- references/measurement-attribution.md 5.5 KB
- references/negative-keyword-strategy-google.md 1.3 KB
- references/performance-max-google-playbook.md 2.2 KB
- references/platform-specific-playbooks.md 2.2 KB
- references/retargeting-sequences.md 1.4 KB
- references/roas-benchmarks-by-industry.md 3.1 KB
- references/when-to-use-this-skill.md 304 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.
- 2mo ago First seen · 28 lines · 72 tokens per session scan A 85175d2b4657
paid-ads is a skill published in the GitHub repository san-npm/skills-ws (4 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 543 once invoked, about $0.0003 per session on Opus 5.5. 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.
paid-ads compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| paid-adssan-npm/skills-ws | Skill | 4 | 1mo ago | MIT | A | 72 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |