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 AntonioBlago/claude-code-seo-starter --skill visibly-seo-pdf-buildgit clone --depth 1 https://github.com/AntonioBlago/claude-code-seo-starterWrote 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/antonioblago/claude-code-seo-starter/visibly-seo-pdf-build)<a href="https://agentmods.dev/skills/antonioblago/claude-code-seo-starter/visibly-seo-pdf-build"><img src="https://agentmods.dev/badge/skills/antonioblago/claude-code-seo-starter/visibly-seo-pdf-build/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/antonioblago/claude-code-seo-starter/visibly-seo-pdf-build"><img src="https://agentmods.dev/badge/skills/antonioblago/claude-code-seo-starter/visibly-seo-pdf-build.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 | $0.00060 | $0.00878 |
| Opus 5 | $0.00030 | $0.00439 |
| Sonnet 5 | $0.00012 | $0.00176 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
visibly-seo-pdf-build 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 11d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CI-Compliant PDF Build
Render a brand-compliant, client-ready PDF with fpdf2 (or a PDF MCP if one is connected — prefer it when available).
Step 1 — Start from the Python template
Import the reusable CIPDF class from
claude_tools/ci_pdf.py — it already implements cover,
header/footer, section bars, body, bullets, wrapping tables and KPI/ROI boxes, and pulls
all brand colours/fonts from templates/ci/brand.py
(one source of truth). Don't reinvent the layout or re-declare the CI.
from claude_tools.ci_pdf import CIPDF
pdf = CIPDF()
pdf.cover("SEO Strategy & Offer", "Example GmbH", "2026-06-13")
pdf.add_page(); pdf.section("1. Executive Summary"); pdf.body("…")
pdf.kpi_box("ROI (realistic)", "233 %", "good")
pdf.output("clients/<domain>/<date>_Offer/offer.pdf")
Run via the venv: .\claude_tools_venv\Scripts\python.exe your_build_script.py
(setup once with .\claude_tools\setup.ps1). templates/pdf_example.py remains a
standalone, zero-config reference if you want a copy to hack on without the package.
Step 2 — Register fonts correctly
CIPDF registers the brand fonts for you (always with uni=True, so ä ö ü ß é ñ
render) if templates/ci/brand.py points FONTS at real .ttf files that exist —
otherwise it falls back to Helvetica so the build never crashes. So the one-time job is:
drop the brand TTFs in fonts/ and set their paths in brand.py. Headings and body
should use distinct brand fonts.
If you build a PDF outside CIPDF, register fonts the same way — always uni=True:
pdf.add_font("Heading", "", f"{FONT_DIR}/Heading-Regular.ttf", uni=True)
pdf.add_font("Heading", "B", f"{FONT_DIR}/Heading-Bold.ttf", uni=True)
pdf.add_font("Body", "", f"{FONT_DIR}/Body-Regular.ttf", uni=True)
Step 3 — Apply the CI
- Cover: dark background, accent bar, white title, brand + client + date + contact.
- Header/footer: dark bar + accent line; brand left, contact centred.
- Section titles: accent bar + bold heading font.
- Tables: accent header row (white text), alternating white / light-gray body rows.
- KPI / ROI boxes: colour-coded (good / warning / critical) — avoid pure red-green only; add a second cue so it survives grayscale and colour-blind readers.
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.
- 11d ago First seen · 78 lines · 60 tokens per session scan A 52d995e6ee1d
visibly-seo-pdf-build is a skill published in the GitHub repository AntonioBlago/claude-code-seo-starter (3 stars, last pushed 6d ago), licensed MIT. It adds 60 tokens to every session and 878 once invoked, about $0.0003 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 2026-08-31.
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