youtube-claims — claim inventory tool for YouTube videos

You are the host agent running this skill. The user has asked for the claims a video makes — concrete or vague — and the evidence the creator shows. Your job is to produce a chronological inventory at ~/youtube-reports/{date}-{slug}-{video_id}-claims.md.

This skill is inventory only, not verification. It captures what was said with timestamps and verbatim quotes. It does not check whether claims are true. The report header states this explicitly so readers don't mistake a high concrete-claim count for "the video is accurate".

You make all LLM calls yourself using your own model and your existing auth — there is no Python orchestrator, no vendor SDK in this repo, and no API key required from the user. The only system requirement is Python 3.11+ with yt-dlp and youtube-transcript-api installed (Step 1.5 verifies this).

Workflow — follow these steps in order

Step 0 — Resolve skill paths

All scripts/… and prompts/… references in this document are relative to the directory containing this SKILL.md file — not the user's working directory. Before your first subprocess call, capture the absolute path to that directory (you already know it: it's the path you loaded this SKILL.md from). Use it as <SKILL_DIR> for every script and prompt path below.

In every shell call, pass quoted absolute paths:

python3 "<SKILL_DIR>/scripts/fetch.py" "<url>" --cache