What problem does it solve? CTF steganography challenges hide payloads inside media containers, and guessing channels blindly wastes time. This Skill provides an evidence-driven workflow to inspect containers, rank candidate hidden channels, and reconstruct the extraction chain until the payload is actually recovered. ## Core Features & Use Cases - Container Truth Establishment: Verify magic bytes, chunk layouts, metadata, thumbnails, and appended trailers before attempting signal-domain extraction. - Channel Ranking and Inspection: Systematically check alpha channels, palette order, LSBs, spectrogram features, frame deltas, and document object streams based on evidence rather than brute force. - Reproducible Extraction Chains: Preserve each intermediate extraction stage with exact offsets, commands, and transforms so the path from container to payload stays auditable. - Use Case: Given a suspicious PNG in a CTF, inspect its chunks and appended data, detect an LSB payload in the alpha channel, extract and decompress it, and recover the hidden flag with a fully documented chain. ## Quick Start After the ctf-sandbox-orchestrator has routed here, ask the agent to inspect the challenge media file's metadata and trailers, rank the likely hidden channels, and extract the concealed payload step by step.
