القائمة
Nightly Bayesian interaction-quality classifier — flags behavioral patterns from chat history and writes self-improvement reflections without spending model tokens on classification.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Delegate a self-contained task to a verified cheaper/faster child-Pi model in a fresh ephemeral context.
Use the stealth browser for human-like web automation against bot-protected sites. Handles login flows, scraping, and form filling with anti-detection bypass.
Export a chat timeline to a PDF using the internal localhost export endpoint and wkhtmltopdf.
Record major friction or postmortem feedback in the configured workspace vent log.
Open a spreadsheet-style widget for a Markdown table so the user can edit it and send the final Markdown table back into chat.
git_history and json_query tools for structured git log exploration and jq-style JSON querying.
| name | late-night-regrets |
| description | Nightly Bayesian interaction-quality classifier — flags behavioral patterns from chat history and writes self-improvement reflections without spending model tokens on classification. |
| distribution | public |
A lightweight, zero-token-cost interaction-quality classifier that runs nightly to identify behavioral patterns worth improving.
| Label | Meaning |
|---|---|
successful_execution | Agent fulfilled the request correctly; user approved or moved on |
course_correction | User had to steer, clarify, or redirect |
misinterpretation | Agent misread intent; user explicitly corrected |
over_engineering | Agent did too much; user asked to simplify |
under_delivery | Agent gave too little; user pushed for more |
context_failure | Agent forgot/lost context; user had to repeat |
good_proactive | Agent anticipated a need; user approved |
neutral | Normal flow, no strong signal |
The scheduled task runs at 02:30 UTC (configurable):
1. bun run <addon>/scripts/train-interaction-quality-bayes.ts
→ retrains on full history, writes weights + predictions + attention file
2. Agent reads attention file, filters last 24h
3. For each flagged message:
- Reads surrounding context from messages DB
- Identifies what the user wanted vs what agent did
4. Writes patterns to notes/memory/interaction-reflections.md
- Date, top patterns, behavioral adjustments
5. Appends new steering cues to notes/memory/feedback.md if warranted
/regrets
Runs the classifier and reflection pass immediately.
Settings → Late Night Regrets:
| Field | Default | Description |
|---|---|---|
| Enabled | true | Master switch |
| Cron schedule | 30 2 * * * | When to run nightly |
| Confidence threshold | 0.55 | Minimum confidence for attention-worthy |
| Reflections path | notes/memory/interaction-reflections.md | Where learnings are written |
| Exports dir | exports/interaction-quality | Classifier artifacts |
| Recent hours | 24 | Window for the reflection pass |
exports/interaction-quality/
interaction-quality-weights-latest.json # trained model weights
interaction-quality-predictions-latest.jsonl # all predictions
interaction-quality-attention-latest.jsonl # flagged messages only
interaction-quality-report-latest.md # human-readable report