What is pdf-analysis?

A process for extracting and examining information from PDF files, including research papers and tables. PDF is a document format commonly used for fixed-layout reports and papers.

Use it to extract PDF pages or tables, analyze documents, read papers, and convert PDF content to Markdown.

It helps when useful information is trapped in a PDF and needs to be read, extracted, or converted into editable text.

How 1cFE/fusion-tea configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to 1cFE/fusion-tea. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/1cFE/fusion-tea/main/.agents/skills/pdf-analysis/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/1cFE/fusion-tea

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/1cfe/fusion-tea/pdf-analysis/github.svg)](https://agentmods.dev/skills/1cfe/fusion-tea/pdf-analysis)

Your own site

<a href="https://agentmods.dev/skills/1cfe/fusion-tea/pdf-analysis"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/pdf-analysis/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/1cfe/fusion-tea/pdf-analysis"><img src="https://agentmods.dev/badge/skills/1cfe/fusion-tea/pdf-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,106 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00098	$0.01106
Opus 5.5	$0.00039	$0.00442
Sonnet 5.5	$0.00020	$0.00221
Haiku 4.5	$0.00010	$0.00111

Measured 24d ago against content hash 6abd92c84b85, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pdf-analysis 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 24d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/extract_page.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.agents/skills/pdf-analysis/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Before executing this skill, read .agentic-mbse/claude.md in Claude Code or .agentic-mbse/codex.md in Codex. Resolve supporting paths from this skill’s installed directory; keep generated outputs in the project or a temporary directory. Read referenced skills from .agents/skills/<name>/SKILL.md when their guidance is needed.

PDF Analysis

Extract and analyze content from PDF documents using a 3-tier fallback pipeline optimized for accuracy and memory safety.

Page numbering is 0-indexed (first page = 0).

The extraction script is at .agents/skills/pdf-analysis/scripts/extract_page.py relative to the project root.

Extraction Pipeline

Try each tier in order. Advance to the next only when the current tier produces inadequate results.

Tier 1: pymupdf4llm (Fast, Default)

Extract page content as markdown using pymupdf4llm. This is the fastest method and works well for text-heavy pages.

uv run python .agents/skills/pdf-analysis/scripts/extract_page.py <pdf_path> <page> --mode markdown

Evaluate the output. If text reads coherently, tables are recognizable, and key data is present — stop here. Escalate to Tier 2 only if:

Tables are garbled or structure is lost
Column text is interleaved
Layout-dependent content is unreadable

Tier 2: Docling MCP (High-Fidelity Tables)

For pages with complex tables or layouts, use the Docling MCP server. Critical memory constraint: never send a multi-page PDF to Docling.

Step 1 — Extract the target page as a single-page PDF:

uv run python .agents/skills/pdf-analysis/scripts/extract_page.py <pdf_path> <page> --mode pdf --output /tmp/page_<N>.pdf

Step 2 — Convert via Docling MCP: Use mcp__docling__convert_document_into_docling_document with source /tmp/page_<N>.pdf. This returns a document_key.

Step 3 — Export to markdown: Use mcp__docling__export_docling_document_to_markdown with the document key.

Timeout/failure — If Docling is slow (>30s) or unresponsive, fall back to Tier 3. Do not retry.

Read the full file on GitHub · 113 lines

Files

What ships with it

2 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.

Changes

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.

24d ago Changed · +4 lines 6abd92c84b85
1mo ago First seen · 109 lines · 98 tokens per session scan A 31690a8686d5

Subscribe to this mod's changes

pdf-analysis is a skill published in the GitHub repository 1cFE/fusion-tea (5 stars, last pushed 24d ago), licensed MIT. It adds 98 tokens to every session and 1,106 once invoked, about $0.0004 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 2026-09-29.

Documents PDF Research

pdf-analysis next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
pdf-analysis1cFE/fusion-tea	Skill	5	24d ago	MIT	A	98	Claude Code
apify-youtube-transcript-scrapersickn33/agentic-awesome-skills	Skill	49k	yesterday	MIT	A	48	Claude Code
foundry-hosted-agent-validationmicrosoft/agent-framework	Skill	15k	yesterday	MIT	A	82	Claude Code, Codex
skill-doc-deliverynyldn/claude-octopus	Skill	4.4k	yesterday	MIT	A	29	Claude Code
meta-web-to-pdf-briefingopensquilla/opensquilla	Skill	7.1k	6d ago	Apache-2.0	A	45	Claude Code, Codex
paper-readerhuangkiki/dailypaper-skills	Skill	1.3k	4d ago	Apache-2.0	A	135	Claude Code, Codex
chat-complex-documentsvellum-ai/vellum-assistant	Skill	1.5k	2d ago	MIT	A	90	Claude Code, Codex

fusion-tea: Skill for Claude Code