PDF Toolkit Free for Openclaw

1. Ensure a compatible Python environment is available.

python3 --version

2. Install the required PDF libraries.

pip install pypdf pdfplumber reportlab requests

3. Confirm your AI agent environment supports SKILL.md-based execution with read, write, and exec permissions.

4. Provide the task input in the expected format:

5. Use the skill with a concise command-style instruction, such as merge, convert, encrypt, or OCR.

6. For local validation, test with a simple PDF operation:

from pypdf import PdfReader, PdfWriter

reader = PdfReader("input.pdf")
writer = PdfWriter()
for page in reader.pages:
    writer.add_page(page)

writer.encrypt("password123")
with open("encrypted.pdf", "wb") as f:
    writer.write(f)

7. Verify output format and logs from the structured response payload.

PDF Toolkit Free uses a simple parameter-driven schema with structured response metadata.

Input schema

Output schema

{
  "success": true,
  "data": {
    "result": "PDF processing result",
    "execution_time": "0.5s",
    "metadata": {
      "version": "1.0",
      "processor": "pdfkit"
    }
  },
  "execution_log": ["parse input", "execute core processing", "format output"],
  "error": null
}

Metadata taxonomy

• version: skill or processor version
• processor: underlying PDF engine identifier
• execution_time: runtime duration
• execution_log: ordered trace of processing steps
• error: null on success, otherwise structured failure details

Operational conventions

• Supports create, query, modify, and delete-style document actions.
• Uses input_params and output_format-style configuration patterns internally.
• Designed for single-file, single-task execution in the free edition of Openclaw Skills.