Borrowing it
Nothing to install: this file belongs to Alexander-M-Dickerson/ai-asset-pricing. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Alexander-M-Dickerson/ai-asset-pricing/main/.claude/skills/split-pdf/SKILL.mdgit clone --depth 1 https://github.com/Alexander-M-Dickerson/ai-asset-pricingWrote 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/alexander-m-dickerson/ai-asset-pricing/split-pdf)<a href="https://agentmods.dev/skills/alexander-m-dickerson/ai-asset-pricing/split-pdf"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/split-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/alexander-m-dickerson/ai-asset-pricing/split-pdf"><img src="https://agentmods.dev/badge/skills/alexander-m-dickerson/ai-asset-pricing/split-pdf.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 | $0.00046 | $0.02236 |
| Opus 5 | $0.00023 | $0.01118 |
| Sonnet 5 | $0.00009 | $0.00447 |
| Haiku 4.5 | $0.00005 | $0.00224 |
Grade A, and why
split-pdf scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
2. Use Bash (curl/wget) to download the PDF How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Split-PDF: Download, Split, and Deep-Read Academic Papers
CRITICAL RULE: Never read a full PDF in one pass. Only read the split files, and only one batch at a time. Reading a full PDF will either crash the session with an unrecoverable "prompt too long" error -- destroying all context -- or produce shallow, hallucinated output where Claude skims the abstract, gets fuzzy on methodology, and fabricates details from results sections.
When This Skill Is Invoked
The user wants to read, review, or summarize an academic paper. The input is either:
- A file path to a local PDF (e.g.,
./articles/smith_2024.pdf) - A search query or paper title (e.g.,
"Bai Bali Wen 2019 corporate bond factors")
You must know what paper to read. If the user invokes this skill without specifying a paper, ask them. Do not guess.
Step 1: Acquire the PDF
If a local file path is provided:
- Verify the file exists
- If not already in
./articles/, copy it there (preserve original) - Proceed to Step 2
If a search query is provided:
- Use Perplexity MCP tools to find the paper (prefer
perplexity_search) - Use Bash (curl/wget) to download the PDF
- Save to
./articles/(create directory if needed) - Proceed to Step 2
CRITICAL: Always preserve the original PDF. The original in articles/ must NEVER be deleted, moved, or overwritten. Split files are derivatives.
Step 2: Determine Chunk Size (Adaptive)
Before splitting, determine total page count and select the optimal chunking strategy:
from PyPDF2 import PdfReader
import os
reader = PdfReader(input_path)
total_pages = len(reader.pages)
Chunking strategy by paper length:
| Paper Length | Action | Chunk Size | Batch Size | Pages/Batch |
|---|---|---|---|---|
| < 12 pages | Read directly (no splitting) | -- | -- | -- |
| 12-25 pages | Light splitting | 8 pages | 2 chunks | ~16 pages |
| 25-45 pages | Standard splitting | 6 pages | 3 chunks | ~18 pages |
| 45-80 pages | Dense splitting | 5 pages | 3 chunks | ~15 pages |
| > 80 pages | Heavy splitting | 4 pages | 3 chunks | ~12 pages |
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.
- 10d ago First seen · 216 lines · 46 tokens per session scan A c1a886ea212f
split-pdf is a skill published in the GitHub repository Alexander-M-Dickerson/ai-asset-pricing (59 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 2,236 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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