reality-review-weekly
SolidLayered eval architecture, Layer 4 weekly review. Cron-fired weekly. Queries reality_feedback.sqlite for entries where outcome IS NULL AND timestamp + window has elapsed. Surfaces N due entries via a chat message for operator labeling. Outcomes feed a Layer 1 classifier's training set over months. Decision gate at month 1 - >=50% labeling rate then continue Layer 4; else DROP.
Install
Quality Score: 79/100
Skill Content
Details
- Author
- 0xUrsanomics
- Repository
- 0xUrsanomics/utopia-os
- Created
- 5 days ago
- Last Updated
- today
- Language
- Python
- License
- MIT
Integrates with
Similar Skills
Semantically similar based on skill content โ not just same category
reality-feedback-create
Layered eval architecture, Layer 4 auto-create. Fires from the Stop hook chain after critic_dispatch. Appends an entry to the reality_feedback.sqlite ledger when the classifier verdict is high-stakes, with surface inference + outcome window + Critic metadata. Operator labels the outcome later via weekly review (skills/reality-review-weekly/SKILL.md). Outcomes feed a Layer 1 v2 classifier's training set over months.
weekly-automation-review
Use on a weekly (Monday) cadence, or when asked what repetitive work is worth automating, what to turn into a skill/hook/tool, or to review recent activity for automation opportunities. This is the skill the scheduled Monday remote agent invokes. Triggers on recurring-task review, "what should I automate", and end-of-week/start-of-week retrospectives.
weekly-monday-review
Run the operator's Monday 30-minute review across `~/Brain/Projects/*.md`, ranking active projects by needle-mover heuristic and producing the 2-of-N focus pick, the 3 Friday touchpoints, the paused list, and a force-visible flag for any project silent more than 4 days.