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MOCHILAB / AI SKILL
Media Companion File Audit
Read-only scan an explicit local directory and audit same-folder filename-stem companion groups using user-supplied extension roles and trigger rules.
What it helps with
Read-only scan an explicit local directory and audit same-folder filename-stem companion groups using user-supplied extension roles and trigger rules.
Say it like this
Audit this explicit directory for missing RAW/JPEG companions using my extension rules.
Find ambiguous same-stem photo/video groups without changing the source files.
What you receive
Ask for the exact directory and the user's real naming/extension rules. Do not assume every JPEG needs a RAW or every still image is a Live Photo. Choose trigger roles accordingly. Run the real local scan, distinguish missing companions from multiple candidates, and explain that names alone do not authenticate media pairing. Never organize or edit the source tree.
Give the assistant your existing records, explicit directory or measured dimensions. It asks for facts that materially affect the result; fictional examples never fill missing real records. Results stay in your assistant workspace for review and download, preserving source material.
The Skill is free with no extra paid API key. Optional AI interpretation uses your configured model and ordinary separate charges. The local tool requires Python3.10+.
Primary references