
Watch Skill / DeepWatch
github.com/oxbshw/watch-skill- Category
- Developer Tools
- Rank
- No. 966Tools index
- Pricing
- Open Source
- Platform
- cli · web
- Type
- TOOL
- GitHub
- 355 stars
- Latest release
- deepwatch-v0.1.4
- Date
About
An MIT-licensed toolkit that gives AI agents perception (turning video, audio and screen activity into searchable, timestamped transcripts and OCR text) and deterministic verification (checking file digests, JSON, SQL, HTTP or DOM state via a separate non-LLM process that returns VERIFIED, FAILED, UNVERIFIED or INCONCLUSIVE). It ships as a pip/npm-installable skill with an MCP server (39 tools), CLI and REST API for existing agents, plus DeepWatch, a ready-made agent workspace built on DeepSeek Harness with the skill pre-integrated.
What it can do
Transcribe video and audio into timestamped, searchable transcripts
Video or audio file → Timestamped transcript text
Extract text from screen activity via OCR
Screen activity capture → OCR text
Verify file digests through a deterministic non-LLM process
File → Verification result (VERIFIED, FAILED, UNVERIFIED, or INCONCLUSIVE)
Verify JSON state deterministically
JSON data → Verification result (VERIFIED, FAILED, UNVERIFIED, or INCONCLUSIVE)
Verify SQL database state deterministically
SQL query/data → Verification result (VERIFIED, FAILED, UNVERIFIED, or INCONCLUSIVE)
Verify HTTP responses deterministically
HTTP request/response → Verification result (VERIFIED, FAILED, UNVERIFIED, or INCONCLUSIVE)
Verify DOM state deterministically
DOM/webpage state → Verification result (VERIFIED, FAILED, UNVERIFIED, or INCONCLUSIVE)
Expose perception and verification tools to AI agents via MCP server, CLI, and REST API
Agent requests/tool calls → Tool responses
Why it made the leaderboard
Lets an agent prove it watched a recording and completed a task with timestamped evidence, instead of trusting the model's own claim of what it saw.
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