> For the complete documentation index, see [llms.txt](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-os-and-trend-finder.gitbook.io/ai-os-and-trend-finder-docs/.spec_system/archive/sessions/phase28-session02-signal-quality-score-and-collection-health/implementation_summary.md).

# Implementation Summary

**Session ID**: `phase28-session02-signal-quality-score-and-collection-health` **Completed**: 2026-06-14 **Duration**: 1.7 hours

***

## Overview

Session 02 added a shared bounded evidence quality score and run-level collection-health rollups to Trend Finder. The implementation keeps the scoring model additive and deterministic: quality is derived from existing local evidence and source metadata, feeds evidence selection and evidence strength, and is rendered through browser-safe aggregate counters in Sources, Engine Replay, and Signal Workbench surfaces.

***

## Deliverables

### Files Created

| File                                                                           | Purpose                                                       | Lines |
| ------------------------------------------------------------------------------ | ------------------------------------------------------------- | ----- |
| `scripts/extensions/trend-finder/sources/__tests__/source-quality.test.ts`     | Quality score component, fallback, ordering, and cap coverage | 190   |
| `src/extensions/trend-finder/components/__tests__/engine-source-rail.test.tsx` | Engine Replay collection-health rendering coverage            | 71    |

### Files Modified

| File                                                                | Changes                                                                              |
| ------------------------------------------------------------------- | ------------------------------------------------------------------------------------ |
| `scripts/extensions/trend-finder/sources/source-quality.ts`         | Added quality score components, bounded helpers, and quality-first evidence ordering |
| `scripts/lib/ai-runtime/trend-analyst.ts`                           | Added optional quality metadata to analyst evidence contracts and summaries          |
| `scripts/extensions/trend-finder/collector.ts`                      | Applied quality scores and built collection-health rollups for payloads and traces   |
| `scripts/lib/ai-runtime/scoring.ts`                                 | Used shared quality in evidence strength while preserving score weights              |
| `src/extensions/trend-finder/schema.ts`                             | Added additive evidence quality and collection-health schema defaults                |
| `src/extensions/trend-finder/view-model.ts`                         | Added shared collection-health and quality labels, tones, and aria text              |
| `src/extensions/trend-finder/views/sources-view.tsx`                | Rendered duplicate pressure and source coverage rollups                              |
| `src/extensions/trend-finder/components/engine-source-rail.tsx`     | Rendered sanitized collection-health counters in Engine Replay                       |
| `src/extensions/trend-finder/signal-workbench-model.ts`             | Added evidence quality values and stable sort support                                |
| `src/extensions/trend-finder/components/signal-workbench-table.tsx` | Added sortable quality column and evidence quality pills                             |
| `scripts/extensions/trend-finder/engine-trace.ts`                   | Mapped collection-health data into sanitized trace output                            |
| `src/extensions/trend-finder/engine-trace.ts`                       | Added collection-health trace parser defaults                                        |
| `src/extensions/trend-finder/engine-replay-model.ts`                | Added source rail collection-health and quality metrics                              |
| `src/extensions/trend-finder/__tests__/view-model.test.ts`          | Added legacy parsing and label coverage                                              |
| `scripts/extensions/trend-finder/__tests__/collector.test.ts`       | Added quality propagation and collection-health rollup coverage                      |
| `scripts/lib/ai-runtime/__tests__/scoring.test.ts`                  | Added quality-selected evidence and score-weight coverage                            |

***

## Technical Decisions

1. **Shared quality score, relevance as component**: Quality became the cross-source evidence interface while relevance remains a bounded component, avoiding source-specific score dialects in shared scoring paths.
2. **Additive payload contract**: New payload fields default to unavailable or zero states so legacy generated payloads and tests keep parsing.
3. **Aggregate-only browser boundary**: Collection-health and Engine Replay fields expose scalar counters and labels only, not raw URLs, private paths, source payloads, or normalized identity internals.
4. **No score-weight change**: The six-factor opportunity score weights remain unchanged; the session only improves the inputs used by evidence selection and evidence strength.

***

## Test Results

| Metric   | Value         |
| -------- | ------------- |
| Tests    | 3492          |
| Passed   | 3492          |
| Coverage | Not collected |

Validated commands:

* `bun run test` - PASS
* `bun run lint` - PASS
* `bun run typecheck:scripts` - PASS
* `bun run typecheck` - PASS
* `git diff --check` - PASS

***

## Lessons Learned

1. Session 01 duplicate and syndication counters were enough to create useful collection-health rollups without adding any new collection path.
2. Quality metadata needed to be applied to both browser and analyst evidence by stable evidence IDs to avoid divergence after deduplication.
3. Legacy parser defaults are critical for Trend Finder payload evolution because generated data and hand-built test fixtures may omit new fields.

***

## Future Considerations

Items for future sessions:

1. Session 03 can stamp calibration versions onto the quality-aware scoring output and expose confidence dampening against this updated evidence base.
2. Session 04 can consume quality and duplicate-pressure signals when adding topic noise gates and visibility bands.
3. Session 13 and Session 14 should keep the collection-health counters intact when compliance-gated source coverage expands.

***

## Session Statistics

* **Tasks**: 24 completed
* **Files Created**: 2
* **Files Modified**: 16 implementation files
* **Tests Added**: 5 focused test areas
* **Blockers**: 0 resolved


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