Summary

The PowerPoint extraction skill under .github/skills/experimental/powerpoint/scripts/ has ~4,700 lines across 14 modules, but its test suite relies entirely on unit tests with mocked file I/O. Integration tests using a real .pptx fixture would validate the end-to-end extraction pipeline — slide parsing, image discovery, theme color resolution, metadata extraction, and cross-module data flow.

Root Cause

The initial test strategy (#1012 epic) focused on Hypothesis property-based testing (#1013, PR #1046 in-flight) and security fuzzing (Atheris). These are valuable for input-space exploration and crash discovery, but they operate on individual functions with synthetic inputs. No tests exercise the full extraction pipeline against an actual PowerPoint file, leaving a gap where:

• Serialization/deserialization mismatches between modules go undetected
• File I/O edge cases (ZIP extraction, media blob handling, XML namespace resolution) are never tested against real data
• Cross-module data contracts (e.g., extract_content.py → discover_images.py → analyze_media.py) are only verified in isolation

What Needs to Be Addressed

1. Test fixture — A real .pptx file that exercises the skill's key code paths: multiple slides, embedded images, theme colors, speaker notes, and metadata fields
2. Integration test suite — Tests that invoke the top-level extraction entry point and validate outputs against known-good expectations from the fixture
3. CI integration — Tests must run as part of the existing npm run test:py / pytest pipeline without special setup

How to Address

1. Create a minimal test fixture (.pptx file) containing:

   • At least 2 slides with different layouts
   • At least 1 embedded image (PNG or JPEG)
   • Theme colors applied to text elements
   • Speaker notes on at least 1 slide
   • Standard metadata (title, author, creation date)
   • Place under tests/fixtures/ or the skill's test directory

2. Write integration tests that:

   • Call the extraction entry point with the fixture path (no mocks)
   • Assert slide count, text content, image discovery results, and metadata fields
   • Validate theme color extraction produces expected RGB values
   • Confirm no exceptions on the full extraction pipeline
   • Test error handling with a corrupted/truncated .pptx if feasible

3. Wire into CI — Ensure conftest.py or pytest configuration picks up the new test module and fixture path

Related Issues

• epic: Python Security Testing & Fuzzing Initiative for PowerPoint Skill #1012 (open, v3.2.0) — Python Security Testing & Fuzzing Initiative (parent epic)
• feat(powerpoint): add Hypothesis property tests for priority modules #1013 (open, v3.2.0) — Hypothesis property-based tests (PR test(skills): add Hypothesis property tests for PowerPoint modules #1046 in-flight — complementary but distinct)

Acceptance Criteria

• At least one real .pptx test fixture committed to the repository
• Integration tests validate end-to-end extraction: slides, images, metadata, theme colors
• Tests run as part of npm run test:py or the skill's pytest suite
• No mocked file I/O — tests exercise the actual extraction pipeline
• All existing tests continue to pass (npm run test:py)