Pdf Reader
CheckedExtracts text, tables, and images from PDF documents with high accuracy using advanced OCR and layout analysis.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add childbamboo/claude-code-marketplace-sample --skill pdf-reader -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
childbamboo
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned childbamboo/claude-code-marketplace-sample at 53dc1bcf6a.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 53dc1bcf6a
- Scanned
- 3 files, 493 lines
About this skill
What it does
This skill allows AI agents to read and extract information from PDF documents. It can process text, tables, and other elements within a PDF file, enabling the agent to answer questions based on its content or summarize key findings. The tool is designed for straightforward PDF parsing and data retrieval.
When to use it
- Research: Quickly gather insights from academic papers or industry reports.
- Contract Analysis: Extract important clauses and dates from legal documents.
- Data Extraction: Pull specific information, like product details or pricing, from PDF catalogs.
- Summarization: Generate concise summaries of lengthy PDF reports.
Key capabilities
- PDF text extraction
- Table recognition (limited)
- Document parsing
Example prompts
- "Read the attached PDF and tell me what year the company was founded."
- "Can you summarize the key findings from this PDF report?"
- "Extract all product names and prices from the attached catalog PDF."
Tips & gotchas
The skill's table recognition is limited; complex tables may not be parsed accurately. Ensure the PDF isn’t a scanned image, as it requires text-based PDFs for optimal performance.