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 bhuvangupta/vapt-claude --skill vapt-report-pdfgit clone --depth 1 https://github.com/bhuvangupta/vapt-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/bhuvangupta/vapt-claude/vapt-report-pdf)<a href="https://agentmods.dev/skills/bhuvangupta/vapt-claude/vapt-report-pdf"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-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/bhuvangupta/vapt-claude/vapt-report-pdf"><img src="https://agentmods.dev/badge/skills/bhuvangupta/vapt-claude/vapt-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 | $0.00000 | $0.00942 |
| Opus 5 | $0.00000 | $0.00471 |
| Sonnet 5 | $0.00000 | $0.00188 |
| Haiku 4.5 | $0.00000 | $0.00094 |
Grade A, and why
vapt-report-pdf 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 10d 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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Report Generation
When Invoked
The user runs /vapt report-pdf <url>.
Prerequisites
- Python 3.8+
reportlabpackage installed (pip install reportlab)- VAPT output files in the current directory (ideally run
/vapt reportfirst)
Behavior
Generate a professional PDF report from VAPT findings using the scripts/vapt_report_pdf.py script.
Phase 1: Data Collection
Same as vapt-report -- scan for all VAPT output files, parse findings, calculate scores.
Phase 2: PDF Generation
2.1 Compile Report Data
Assemble a JSON structure with all report data:
{
"target": "example.com",
"date": "2026-03-19",
"tester": "...",
"authorization": "Pentest engagement",
"overall_score": 42,
"overall_rating": "Poor",
"categories": [
{"name": "Injection", "weight": 20, "score": 15, "findings_count": {"critical": 2, "high": 1}},
...
],
"findings": [
{
"id": "FINDING-001",
"title": "SQL Injection in /api/users",
"severity": "Critical",
"cvss_score": 9.8,
"cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
"cwe": "CWE-89",
"owasp": "A03:2021",
"url": "/api/users?id=1",
"parameter": "id",
"description": "...",
"steps": ["..."],
"impact": "...",
"remediation": "..."
},
...
],
"scope": {"in_scope": [...], "out_of_scope": [...]},
"tools_used": [...]
}
2.2 Run PDF Script
python3 <skills_dir>/scripts/vapt_report_pdf.py --input report_data.json --output VAPT-REPORT.pdf
2.3 PDF Structure
The PDF report includes:
Cover Page:
- "Vulnerability Assessment & Penetration Test Report"
- Target URL
- Date
- Authorization reference
- Confidentiality notice
Table of Contents:
- Auto-generated with page numbers
Executive Summary (Page 1-2):
- Security Posture Score gauge (visual, color-coded)
- Finding count by severity (bar chart)
- Category score breakdown (radar chart or table)
- Top 3 risks highlighted
- Key recommendations
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.
- 10d ago First seen · 157 lines · 0 tokens per session scan A 268909e03518
vapt-report-pdf is a skill published in the GitHub repository bhuvangupta/vapt-claude (1 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 942 tokens. 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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