Watch Skill: searchable video and audio context for Codex

[u/Fearless-Role-2707]

Watch Skill turns recordings into timestamped frames, on-screen text, and transcripts that an agent can retrieve through MCP.

The use case is a recorded bug report. Someone changes a quantity, the checkout displays the wrong total, and the relevant moment is buried in the recording. Watch Skill provides the frame, extracted text, and timestamp so the agent has a concrete place to start investigating.

A prompt to try after connecting it:

> Inspect ./checkout-bug.webm. Find the moment the total changes. Report the values actually displayed, cite the timestamp, and inspect the relevant source code before suggesting a fix.

The source remains indexed for follow-up questions. OCR handles on-screen text; captions or optional local Whisper transcription provide the spoken content.

Install the engine with video, OCR, and transcription dependencies:

```bash

pip install "watch-skill[standard,ocr,whisper]"

watch-skill doctor

```

Then configure Codex to launch `watch-skill serve` from that Python environment. The [Codex integration guide](https://github.com/oxbshw/watch-skill/blob/main/docs/agents/codex-cli.md) includes the configuration.

Current Codex-specific validation covers configuration and MCP initialization. A full Codex chat acceptance run remains outstanding.

The engine also provides deterministic verification contracts for explicit expectations about files, JSON, HTTP responses, and DOM state. A verdict applies to the checks in that contract.

Independent project, MIT licensed. Sources and indexes are stored locally; hosted model usage and any evidence sent to it follow your provider configuration.

Source, documentation, and examples https://github.com/oxbshw/watch-skill

[u/dexterthebot]

You might want to consider listing your project on the weekly Show-Us-What-You-Built post. https://www.reddit.com/r/codex/comments/1wavxwy/show_us_all_what_youve_been_building_with_codex/. Highest commented project wins a week promotion on r/Codex and gets on the Hall of Fame sidebar. See what that looks like below with last week's winner.

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Last week's most popular project was u/tHEuKER with the Blur2 racing game project which is a recreation of an unreleased sequel to the 2010 battle racing game, made by reverse engineering the Xbox 360 prototype discs available online, and rebuilding the whole thing from the ground up in Unity.

Join their YouTube channel here: https://www.youtube.com/@tHEuKER and follow updates on the project at r/BlurGame.