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 event4u-app/agent-config --skill pdf-toolsgit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/pdf-tools)<a href="https://agentmods.dev/skills/event4u-app/agent-config/pdf-tools"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/pdf-tools/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/event4u-app/agent-config/pdf-tools"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/pdf-tools.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 | $0.00050 | $0.01098 |
| Opus 5.5 | $0.00020 | $0.00439 |
| Sonnet 5.5 | $0.00010 | $0.00220 |
| Haiku 4.5 | $0.00005 | $0.00110 |
Grade A, and why
pdf-tools 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 1mo 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pdf-tools
Wing-1 engineering skill for PDF write/transform — markitdown reads a PDF
to Markdown; this creates, merges, fills, and extracts. Ships zero runtime: the
agent drives libraries the consumer has. Pattern re-implementation only.
When to use
- "Merge / split / rotate / encrypt these PDFs."
- "Fill this PDF form (AcroForm) with these values."
- "Create a PDF from this content."
- "Extract the text / tables from this PDF" (structured extraction beyond
markitdown's Markdown). - "OCR this scanned PDF."
Do NOT use for: PDF → Markdown ingestion (markitdown); Word (docx-authoring).
Procedure
1. Library per task — do not force one tool
| Task | Library path |
|---|---|
| merge / split / rotate / encrypt | pypdf — page-level operations, no rendering |
| create from content | reportlab (canvas / platypus) |
| form-fill (AcroForm) | a form-aware library; map field name → value, then flatten if the form must not be re-editable |
| text / table extraction | a text-layer extractor; tables need a layout-aware pass, not naive text |
| OCR (scanned/image PDF) | an OCR engine over rasterized pages — ONLY when there is no text layer |
2. Decide flatten-or-keep on form fills
A filled AcroForm stays editable unless flattened. Flatten when the PDF is a final artifact (an invoice, a signed form); keep fields when the recipient must edit further. State which you chose — a silently-editable "final" form is a correctness bug.
3. Validate — assert output validity, do not trust the write
- Re-open the output with pypdf; assert
len(reader.pages)matches the expected count (merge = sum; split = 1 per part). - For a form-fill: read back one field value (pre-flatten) or extract the rendered text (post-flatten) and assert the value is present.
- For create: assert the file opens and page 1 carries expected text.
Output format
- The output PDF path(s).
- Validation: page count matches expected ✅, read-back value/text present ✅.
- For fills: flatten decision stated (flattened / kept-editable + why).
What ships with it
1 file 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.
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.
- 1mo ago First seen · 103 lines · 50 tokens per session scan A 0ef687b0da05
pdf-tools is a skill published in the GitHub repository event4u-app/agent-config (16 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 1,098 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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