OpenClaw TODO

https://www.youtube.com/watch?v=st534T7-mdE

Security audit itself https://docs.openclaw.ai/gateway/security

Pre-build idea validator + MCP https://github.com/hesamsheikh/awesome-openclaw-usecases/blob/main/usecases/pre-build-idea-validator.md (idea-reality-mcp)

https://superwhisper.com/docs/get-started/transcribe-files

I want you to build this iteratively. For each step, I want you to research and synthesize a best-practices approach and present it here. After I confirm, I want you to build the approach and then document it in the mr-krabs repository. Back up your own workspace in your git repository as well. Outputs should be scoped to your openclaw workspace. Build a health data pipeline:

1. Connector scripts (one per data source):

- Wearable ring API (Oura): sleep stages, HRV, readiness, activity, etc. Any data that is available

- Phone health exports (e.g., Apple Health CSV): steps, heart rate, workouts, etc. Any data that is available

Each connector normalizes to a common JSONL format:

{timestamp, source, metric, value, unit}

2. Unified timeline:

- Append-only JSONL file (health-timeline.jsonl)

- One line per measurement

- All sources write to the same file

3. Morning cron job:

- Pull latest data from all configured sources

- Run LLM analysis on recent timeline entries

- Generate: daily health summary, trend flags, coaching tips

- Deliver to your health/wellness channel

4. Trend analysis:

- Look back over weeks/months for patterns

- Flag: poor sleep streaks, HRV drops, weight changes

- Cross-reference: sleep quality vs activity level, weight vs nutrition