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PDF Fixture

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pdf-fixture

PDF Fixture is an Agent Skill for documents published in the majiayu000/claude-skill-registry repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Generate test PDF fixtures with known, extractable content. Creates PDFs with sections, tables, figures, requirements, equations, and annotations. Use when user needs "create test PDF", "generate PDF fixture", "make sample PDF for testing".

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How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/majiayu000/claude-skill-registry/blob/HEAD/skills/generation/pdf-fixture-grahama1970-agent-skills/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/pdf-fixture, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

PDF Fixture Generator

Generate deterministic test PDFs with known, extractable content for testing extraction pipelines.

Self-contained skill - auto-installs via uv run from git (no pre-installation needed).

Simplest Usage

# Via wrapper (recommended - auto-installs)
.agents/skills/pdf-fixture/run.sh --example --name test_fixture

Common Patterns

Create from JSON spec file

./run.sh --spec content_spec.json --name my_fixture

Create from inline JSON

./run.sh \
  --inline '{"sections": [{"title": "Introduction", "content": [{"type": "text", "text": "Hello world"}]}]}' \
  --name inline_test

JSON Spec Format

{
  "style": "standard",
  "sections": [
    {
      "title": "1. Requirements",
      "level": 1,
      "content": [
        {"type": "text", "text": "This document describes requirements."},
        {"type": "requirement", "id": "REQ-001", "text": "System shall process in 1s"},
        {"type": "table", "columns": ["ID", "Name"], "rows": [["1", "Alice"], ["2", "Bob"]]},
        {"type": "equation", "latex": "E = mc^2", "label": "energy"},
        {"type": "figure", "description": "Architecture diagram"}
      ]
    }
  ]
}

Content Types

TypeRequired FieldsOptional
texttext-
requirementid, texttype (Functional/NonFunctional)
tablecolumnsrows (list or count)
equationlatex or equationlabel
figuredescriptionwidth, height
annotationannot_type (highlight/note/box)content

Output

Creates in fixtures/{name}/:

  • source.pdf - Generated PDF with known content
  • SPEC.md - Auto-generated with expected extraction values

Notes

The wrapper script (run.sh) automatically:

  • Installs extractor from git via uv run
  • Handles all dependencies (PyMuPDF, etc.)
  • No manual venv activation needed