asking-with-evidence

The user asks a question about a video.

What this skill does for you

The user asks a question about a video that was already watched or indexed : "what did they say about X", "what error code appears", "what happens at 2:30", "does the video show Y". Use this to answer from the persistent index with timestamped evidence and a confidence score instead of re-watching or guessing.

Quoted from the skill description in the pinned source

Who made it

Publisheroxbshw

Repositorywatch-skill

Installs314as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the asking-with-evidence skill from oxbshw/watch-skill.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f1317c8fe64744a606c31867b05fbbe3144268c6. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/oxbshw/watch-skill
Pinned skill file: View source at revision
Revision: f1317c8fe64744a606c31867b05fbbe3144268c6
Package hash: sha256:3f313d4d24bac688b2af28244136feaf29231029dd7cfb7f61112ac405f8429f
Licence: MIT