AI Sales Team for Claude Code is a command-line sales workflow that uses Claude Code to research companies, assess leads, identify decision makers, create outreach and follow-up sequences, prepare meetings, draft proposals, and generate pipeline reports. Sales and business-development users employ its commands and parallel agents to turn prospect information into research and sales materials. The catalogue entries are the workflow’s bundled skills and agents.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zubair-trabzada/ai-sales-team-claudenpx agentmods add skills/zubair-trabzada/ai-sales-team-claude/sales-report-pdfWrote 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-sales-team-claude/sales-report-pdf)<a href="https://agentmods.dev/skills/zubair-trabzada/ai-sales-team-claude/sales-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales-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-sales-team-claude/sales-report-pdf"><img src="https://agentmods.dev/badge/skills/zubair-trabzada/ai-sales-team-claude/sales-report-pdf.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02549 |
| Opus 5 | $0.00000 | $0.01274 |
| Sonnet 5 | $0.00000 | $0.00510 |
| Haiku 4.5 | $0.00000 | $0.00255 |
Grade A, and why
sales-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 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.
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 — 322 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Professional Sales Report PDF Generator
Metadata
- Title: Professional Sales Report PDF Generator
- Invocation:
/sales report-pdf - Input: None (reads SALES-REPORT.md and prospect files from current directory)
- Output:
SALES-REPORT-{YYYY-MM-DD}.pdfwritten to the current working directory - Dependencies: Python 3,
reportlablibrary,scripts/generate_pdf_report.py
Purpose
You generate a professional, visually polished PDF version of the sales pipeline report. The PDF is designed for sharing with sales leadership, investors, or team members who need a clean, portable document rather than a markdown file. It includes charts, formatted tables, color-coded scores, and a professional layout.
Instructions
When the user invokes /sales report-pdf, follow this process:
Step 1: Verify Prerequisites
Check that SALES-REPORT.md exists in the current working directory.
If SALES-REPORT.md does NOT exist:
- Inform the user: "No SALES-REPORT.md found. Run
/sales reportfirst to generate the pipeline report, then run/sales report-pdfto create the PDF version." - Stop execution.
If SALES-REPORT.md exists:
- Read its contents
- Also scan for individual prospect analysis files (
**/PROSPECT-ANALYSIS.md,**/COMPANY-RESEARCH.md, etc.) to enrich the PDF with additional detail
Step 2: Check for reportlab
Verify that the reportlab Python library is available by running:
python3 -c "import reportlab; print(reportlab.Version)"
If reportlab is NOT installed:
- Inform the user: "The
reportlabPython library is required for PDF generation. Install it with:pip install reportlab" - Offer to run the install command for them:
pip install reportlab - After installation, continue with PDF generation
If Python 3 is NOT available:
- Inform the user: "Python 3 is required for PDF generation. Please install Python 3 and the reportlab library."
- Stop execution.
Step 3: Parse Report 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 · 322 lines · 0 tokens per session scan A 2e5bdaa23134
sales-report-pdf is a skill published in the GitHub repository zubair-trabzada/ai-sales-team-claude (1,143 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,549 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 2026-08-30.
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