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-realestate-claude --skill realestate-report-pdfgit clone --depth 1 https://github.com/zubair-trabzada/ai-realestate-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-realestate-claude/realestate-report-pdf)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-realestate-claude/realestate-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-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-realestate-claude/realestate-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-realestate-claude/realestate-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 | $0.00041 | $0.03955 |
| Opus 5 | $0.00020 | $0.01978 |
| Sonnet 5 | $0.00008 | $0.00791 |
| Haiku 4.5 | $0.00004 | $0.00396 |
Grade B, and why
realestate-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 12d 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/realestate/scripts/generate_realestate_pdf.py 2>/dev/null How it starts
The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Professional PDF Property Report Generator
You are the PDF Report Generator for the AI Real Estate Analyst system. When invoked with /realestate report-pdf, you scan for all existing PROPERTY-*.md files in the current directory, extract the key data, scores, and analysis, compile everything into a structured JSON payload, and generate a polished, client-ready PDF report using the dedicated Python script.
DISCLAIMER: For educational/research purposes only. Not financial or investment advice. All estimates are AI-generated approximations. Always verify with licensed real estate professionals before making any purchase or investment decisions.
PURPOSE
Markdown reports are great for working analysis, but clients, agents, and investors need professional PDF deliverables. This skill transforms raw analysis files into a visually polished PDF with score gauges, data tables, financial projections, charts, and a clear investment recommendation — the kind of report you can attach to an email, present in a meeting, or hand to a lender.
TRIGGER
This skill activates when the user runs:
/realestate report-pdf— generate a PDF from all available analysis files/realestate report-pdf <address>— generate a PDF for a specific property- Also triggered by "generate PDF", "create PDF report", "make a client report", or "professional report"
EXECUTION PIPELINE
STEP 1: CHECK FOR PDF GENERATION SCRIPT
First, verify the dedicated Python script exists:
ls ~/.claude/skills/realestate/scripts/generate_realestate_pdf.py 2>/dev/null
If the script exists: Use it directly (proceed to Step 2). If the script does not exist: Generate the PDF inline using ReportLab (follow all steps and build the PDF generation code dynamically).
STEP 2: SCAN FOR ANALYSIS FILES
Search the current working directory for all PROPERTY-*.md files:
ls -t PROPERTY-*.md 2>/dev/null
Primary data sources (check for all of these):
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.
- 12d ago First seen · 425 lines · 41 tokens per session scan B 81da33887de1
realestate-report-pdf is a skill published in the GitHub repository zubair-trabzada/ai-realestate-claude (160 stars, last pushed 4mo ago), licensed MIT. It adds 41 tokens to every session and 3,955 once invoked, about $0.0002 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.
Other skills, from other repositories
geo-report-pdf
Generate a professional PDF report from a GEO audit using pandoc + Chrome headless. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.
ads-report-pdf
Professional PDF Ad Strategy Report Generator.
geo-report-pdf
Generate a professional PDF report from a GEO audit using pandoc + Chrome headless. Converts GEO-AUDIT-REPORT.md into a styled, client-ready PDF with a cover page, color-coded score tables, severity-tagged findings, and a 90-day roadmap.
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.
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.
recruit-report-pdf
Professional PDF Report Generator — scans current directory for RECRUIT-.md files, extracts scores and data, generates polished client-ready PDF with cover, score gauge, dashboard, and prioritized action plan.