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 silverstein/claude-scientific-skills-desktop --skill reportlabgit clone --depth 1 https://github.com/silverstein/claude-scientific-skills-desktopWrote 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/silverstein/claude-scientific-skills-desktop/reportlab)<a href="https://agentmods.dev/skills/silverstein/claude-scientific-skills-desktop/reportlab"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/reportlab/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/silverstein/claude-scientific-skills-desktop/reportlab"><img src="https://agentmods.dev/badge/skills/silverstein/claude-scientific-skills-desktop/reportlab.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 | $0.00038 | $0.04267 |
| Opus 5 | $0.00019 | $0.02133 |
| Sonnet 5 | $0.00008 | $0.00853 |
| Haiku 4.5 | $0.00004 | $0.00427 |
Grade A, and why
reportlab 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 9d 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 — 622 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ReportLab PDF Generation
Overview
ReportLab is a powerful Python library for programmatic PDF generation. Create anything from simple documents to complex reports with tables, charts, images, and interactive forms.
Two main approaches:
- Canvas API (low-level): Direct drawing with coordinate-based positioning - use for precise layouts
- Platypus (high-level): Flowing document layout with automatic page breaks - use for multi-page documents
Core capabilities:
- Text with rich formatting and custom fonts
- Tables with complex styling and cell spanning
- Charts (bar, line, pie, area, scatter)
- Barcodes and QR codes (Code128, EAN, QR, etc.)
- Images with transparency
- PDF features (links, bookmarks, forms, encryption)
Choosing the Right Approach
Use Canvas API when:
- Creating labels, business cards, certificates
- Precise positioning is critical (x, y coordinates)
- Single-page documents or simple layouts
- Drawing graphics, shapes, and custom designs
- Adding barcodes or QR codes at specific locations
Use Platypus when:
- Creating multi-page documents (reports, articles, books)
- Content should flow automatically across pages
- Need headers/footers that repeat on each page
- Working with paragraphs that can split across pages
- Building complex documents with table of contents
Use Both when:
- Complex reports need both flowing content AND precise positioning
- Adding headers/footers to Platypus documents (use
onPagecallback with Canvas) - Embedding custom graphics (Canvas) within flowing documents (Platypus)
Quick Start Examples
Simple Canvas Document
from reportlab.pdfgen import canvas
from reportlab.lib.pagesizes import letter
from reportlab.lib.units import inch
c = canvas.Canvas("output.pdf", pagesize=letter)
width, height = letter
# Draw text
c.setFont("Helvetica-Bold", 24)
c.drawString(inch, height - inch, "Hello ReportLab!")
# Draw a rectangle
c.setFillColorRGB(0.2, 0.4, 0.8)
c.rect(inch, 5*inch, 4*inch, 2*inch, fill=1)
# Save
c.showPage()
c.save()
What ships with it
10 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.
- assets/invoice_template.py 8.2 KB runs code
- assets/report_template.py 11 KB runs code
- references/barcodes_reference.md 11 KB
- references/canvas_api.md 5.7 KB
- references/charts_reference.md 13 KB
- references/pdf_features.md 12 KB
- references/platypus_guide.md 8.3 KB
- references/tables_reference.md 11 KB
- references/text_and_fonts.md 9.2 KB
- scripts/quick_document.py 7.4 KB runs code
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.
- 9d ago First seen · 622 lines · 38 tokens per session scan A 7f3b70aa779b
reportlab is a skill published in the GitHub repository silverstein/claude-scientific-skills-desktop (22 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 4,267 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
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foundry-hosted-agent-validation
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skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
pdf-text-extraction-fallback-85d5ca
Fallback workflow for extracting text from PDFs when readfile returns binary data.
pdf-verification-cli
Verify PDF page count and content using command-line tools when Python libraries unavailable.