Home / jzkk720 / cubecloud-skills-bundle-kit · upstream/watch-skill/SKILL.md · GitHub

watch-skill skillA

watch-skill is agent-read markdown (skill) from jzkk720/cubecloud-skills-bundle-kit: Video intelligence skill — watch, remember, and verify video content. Use when analyzing video files, extracting frames, searching video moments, transcribing audio, detecting objects or scenes, or building video-aware agent workflows. MCP server via `watch-skill serve`..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Watch Skill

Video intelligence for AI agents — watch video content, extract meaningful
moments, remember what was seen, and verify claims against visual evidence.

## When to use

- Analyzing video files for content, objects, or scenes
- Extracting key frames or moments from video
- Transcribing speech from video audio
- Searching for specific moments across video libraries
- Building video-aware agent workflows (monitoring, review, verification)
- Verifying claims against video evidence

## Core capabilities

### Watch (ingest)
- Load video from local files, URLs, or streams
- Extract frames at specified intervals or on scene changes
- Capture metadata (duration, resolution, codec, fps)

### Remember (index)
- Build searchable indexes of video moments
- Store frame embeddings for semantic search
- Track timestamps and scene boundaries

### Verify (query)
- Search for specific objects, people, or scenes
- Compare frames across videos
- Validate claims against visual evidence
- Generate timestamped evidence clips

## MCP integration

Start the MCP server:
```bash
watch-skill serve          # stdio transport (default)
watch-skill serve --http   # Streamable HTTP on port 8747
```
…

Read the whole file at its exact version.

How to install

Latest version
mdr add jzkk720/cubecloud-skills-bundle-kit/watch-skill@git:20260922.839adde
Exact content
mdr add jzkk720/cubecloud-skills-bundle-kit/watch-skill@sha256:1fe02eee75f890fd

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_l3ifbcqjbdhoyxtg.svg)](https://markdownregistry.com/a/art_l3ifbcqjbdhoyxtg)

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Versions

versioncommittedcommitsizeaudit
git:20260922.839adde latest2026-09-22 839adde 1,957 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1957 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

jzkk720/cubecloud-skills-bundle-kit · 3 stars · license NOASSERTION · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_l3ifbcqjbdhoyxtg
GET https://markdownregistry.com/api/v1/resolve?ref=jzkk720/cubecloud-skills-bundle-kit/watch-skill
GET https://markdownregistry.com/api/v1/blob/1fe02eee75f890fd9301e3ae9fac02e4083aaad32d206cd1bae0a2aa68638023

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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