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 zubair-trabzada/ai-ads-claude --skill ads-report-pdfgit clone --depth 1 https://github.com/zubair-trabzada/ai-ads-claudeWrote 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/zubair-trabzada/ai-ads-claude/ads-report-pdf)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-ads-claude/ads-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-report-pdf/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/zubair-trabzada/ai-ads-claude/ads-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-ads-claude/ads-report-pdf.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 | $0.00011 | $0.02954 |
| Opus 5 | $0.00005 | $0.01477 |
| Sonnet 5 | $0.00002 | $0.00591 |
| Haiku 4.5 | $0.00001 | $0.00295 |
Grade B, and why
ads-report-pdf scanned grade B with 1 finding 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 13d 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.
Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
ls ~/.claude/skills/ads/scripts/generate_ads_pdf.py 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Ad Strategy Report Generator
Skill Purpose
Generate a polished, client-ready PDF advertising strategy report using the ReportLab Python library. This skill scans the current working directory for all ads output files, extracts scores, audience personas, campaign structure, budget allocation, and competitive intelligence, compiles them into structured JSON, and produces a professional PDF with a cover page featuring an Ad Readiness Score gauge, audience persona cards, campaign funnel diagram, budget allocation chart, competitive positioning map, creative direction summary, and a prioritized 90-day action plan.
When to Use
- User wants a PDF version of the ad strategy report (not just Markdown)
- User is preparing a deliverable for a client or stakeholder presentation
- User asks for a "polished report", "client-ready report", or "PDF report"
- User wants a visual report with charts, scores, and professional formatting
- Triggered by
/ads report-pdfor/ads report-pdf <business name>
When to Use PDF vs Markdown
| Format | Best For | Pros | Cons |
|---|---|---|---|
| Client presentations, email attachments, proposals, sales collateral | Professional appearance, charts and gauges, printable, consistent formatting | Requires Python script, harder to edit | |
| Markdown | Internal use, quick reference, iterative editing, version control | Easy to edit, fast to generate, git-friendly | Less visually polished, no charts |
Rule of thumb: If the report goes to a client, prospect, or executive, use PDF. If it is for internal use or further editing, use Markdown.
How to Execute
Step 1: Check for PDF Generation Script
First, check if the dedicated PDF generation script exists:
ls ~/.claude/skills/ads/scripts/generate_ads_pdf.py 2>/dev/null
If the script exists: Use it directly (skip to Step 4). If the script does not exist: Generate the PDF inline using ReportLab (follow all steps).
Step 2: Collect All Available Data
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.
- 13d ago First seen · 325 lines · 11 tokens per session scan B 63532e16fcb7
ads-report-pdf is a skill published in the GitHub repository zubair-trabzada/ai-ads-claude (246 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 2,954 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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recruit-report-pdf
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restaurant-report-pdf
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geo-report-pdf
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geo-report-pdf
Generate a professional PDF report from GEO audit data using ReportLab. Creates a polished, client-ready PDF with score gauges, bar charts, platform readiness visualizations, color-coded tables, and prioritized action plans.