Asking With Evidence Agent Skill

Asking with evidence

Every watched video sits in a persistent index. Questions about it are

answered from that index — text first, frames only when needed — with

timestamps, a confidence score, and an honest refusal when the video

does not show the answer. Never re-run a watch for a follow-up.

Answer a question

watch-skill ask <video_id-or-original-url> "<question>"

Any language works; the answer comes back in the language of the

question. The engine escalates on its own when unsure (dense re-sampling,

zoom-crop re-OCR, stronger model) and prints a ~N tokens saved line.

Three rules for reading the result:

• Cite the timestamps it gives you; they are real evidence, not

decoration.

• Trust the refusal. When it says the video does not clearly show

the answer, that is the answer. Do not invent one past it.

• Frame paths are listed only when the engine wants you to look

yourself — Read them then (or force with --frames).

"What happens at 2:30?"

Moment questions get a dense window, not a whole-video ask:

watch-skill ask <video_id> "what is on screen around 2:30?"

The answer engine pulls frames, transcript and OCR around the moment it

resolves. Agents on MCP have a dedicated get_moment tool that takes an

explicit timestamp and window; the CLI answers the same question through

ask.

Don't know which video? Search them all

watch-skill search "<phrase>"

Hybrid keyword + semantic search across every video ever watched, with

per-script normalization (Arabic folding, CJK segmentation, Thai

segmentation). Follow a hit with ask or moment on that video.

When the user corrects you

Report it so the next answer is better — see the

learning-from-mistakes skill.