# loudink-v1.1 complete (PR-A → PR-E)

**Version:** 1.1.0 canary  
**Date:** 2026-07-08  
**Stable freeze left intact:** loudink-v1 **0.4.0** at `nsalerni/loudink-v1`

## Delivered

### PR-A — Skill substrate
- `src/gemmaflow_tune/skills/{schema,store,recorder,compile}.py`
- Null-safe `run_skill` compile + sanitize (never invent skill_id)
- Unit tests: `tests/test_skills_pra.py`

### PR-B — Invoke surface
- Paraphrase + exact alias match in `skills/invoke.py`
- Freeform disambiguation (open gmail ≠ skill hijack)
- Bench suite n=19 + IR SFT corpus
- Runner wiring: `skill_store_path` via `runner_factory`
- Unit tests: `tests/test_skills_prb.py`

### PR-C — Slot fill
- Deterministic extract in `skills/slots.py`
- Seed skills: Invoice Chase (`company`), Standup Post (`update`)
- Scorer: `slot_values` / `skill_id`
- Unit tests: `tests/test_skills_prc_slots.py`

### PR-D — Daily-Mac expand
- Computer: Focus/DND, Reminders, Messages/Mail reply, Chrome tabs, Notion+Linear, Wi‑Fi
- Writing: reply iMessage, email subject, code cell
- Resolvers: focus/DND, browser tabs, reply context
- **69/69** overall on expanded suite

### PR-E — Vision scaffold
- `skills/vision.py`: `ScreenObservation`, `VisionFallbackConfig`, `try_vision_fallback`
- Default **disabled**; client injects resolver when ready

## Verification commands

```bash
.venv/bin/python -m pytest tests/test_skills_pra.py tests/test_skills_prb.py tests/test_skills_prc_slots.py -q
.venv/bin/python -m gemmaflow_tune.cli.prepare_skill_invoke_benchmarks
.venv/bin/python -m gemmaflow_tune.cli.prepare_daily_mac_benchmarks
GEMMAFLOW_GPU_MODE=shared .venv/bin/python -m gemmaflow_tune.cli.benchmark \
  --config configs/benchmark_loudink_v1_1_skill_invoke.yaml --variant loudink_v1_1_skill_invoke
GEMMAFLOW_GPU_MODE=shared .venv/bin/python -m gemmaflow_tune.cli.benchmark \
  --config configs/benchmark_loudink_v1_daily_mac.yaml --variant loudink_v1_daily_mac
.venv/bin/python -m gemmaflow_tune.cli.build_loudink_v1_product_scorecard \
  --measurement artifacts/benchmarks/loudink_v1/daily_mac/loudink_v1_daily_mac_measurement.json \
  --output artifacts/loudink_v1/product_scorecard.json
.venv/bin/python -m gemmaflow_tune.cli.build_loudink_v1_1_publish --force
.venv/bin/python -m gemmaflow_tune.cli.publish_sota --model loudink-v1.1
```

## Success metrics (all met)

| Metric | Bar | Result |
|--------|-----|--------|
| Skill invoke accuracy | ≥95% | **100%** (19/19) |
| Skill paraphrase | ≥85% | **100%** (suite includes paraphrase) |
| Freeform regression | no drop vs 0.4 | **100%** daily-mac |
| Writing neural / p50 | hold 0.4 bars | **92%** / **171 ms** |
| IR honesty | ≥45% | **46.4%** |