> 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/tasks.md).

# Task Checklist

**Session ID**: `phase28-session02-signal-quality-score-and-collection-health` **Total Tasks**: 24 **Estimated Duration**: 3-4 hours **Created**: 2026-06-14

***

## Legend

* `[x]` = Completed
* `[ ]` = Pending
* `[P]` = Parallelizable (can run with other \[P] tasks)
* `[SNNMM]` = Session reference (NN=phase number, MM=session number)
* `TNNN` = Task ID

***

## Progress Summary

| Category       | Total  | Done   | Remaining |
| -------------- | ------ | ------ | --------- |
| Setup          | 3      | 3      | 0         |
| Foundation     | 6      | 6      | 0         |
| Implementation | 10     | 10     | 0         |
| Testing        | 5      | 5      | 0         |
| **Total**      | **24** | **24** | **0**     |

***

## Setup (3 tasks)

Initial configuration and environment preparation.

* [x] T001 \[S2802] Verify Session 01 dedup, syndication, and validation outputs before consuming duplicate counters (`.spec_system/specs/phase28-session01-cross-source-signal-identity-and-dedup/validation.md`)
* [x] T002 \[S2802] Verify Trends-Finderz quality-score and scan-health reference behavior for bounded local adaptation (`EXAMPLES/trends-finderz/lib/signals/signal-fingerprint.ts`)
* [x] T003 \[S2802] Inspect current Trend Finder source quality, collector, scoring, schema, Sources view, and Engine Replay baselines before editing (`scripts/extensions/trend-finder/sources/source-quality.ts`)

***

## Foundation (6 tasks)

Core structures and base implementations.

* [x] T004 \[S2802] \[P] Extend evidence quality score types, component weights, clamps, and deterministic ordering helpers (`scripts/extensions/trend-finder/sources/source-quality.ts`)
* [x] T005 \[S2802] \[P] Create source-quality tests for component scoring, missing-field fallbacks, and deterministic ordering (`scripts/extensions/trend-finder/sources/__tests__/source-quality.test.ts`)
* [x] T006 \[S2802] Define additive collection-health schema defaults and bounded evidence quality fields with legacy parsing preserved (`src/extensions/trend-finder/schema.ts`)
* [x] T007 \[S2802] Extend analyst evidence contracts with optional quality score metadata and exhaustive fallback handling (`scripts/lib/ai-runtime/trend-analyst.ts`)
* [x] T008 \[S2802] Add collection-health and evidence-quality view-model labels with unavailable, warning, and healthy states (`src/extensions/trend-finder/view-model.ts`)
* [x] T009 \[S2802] Define sanitized Engine Replay collection-health counter defaults and parser mappings (`src/extensions/trend-finder/engine-trace.ts`)

***

## Implementation (10 tasks)

Main feature implementation.

* [x] T010 \[S2802] Apply quality scores to browser and analyst evidence after identity metadata with schema-validated input and explicit error mapping (`scripts/extensions/trend-finder/collector.ts`)
* [x] T011 \[S2802] Build collection-health rollups from duplicate summary, source summaries, and accepted evidence counts with deterministic ordering (`scripts/extensions/trend-finder/collector.ts`)
* [x] T012 \[S2802] Use shared quality score in evidence selection while retaining source quality caps and syndication grouping (`scripts/extensions/trend-finder/sources/source-quality.ts`)
* [x] T013 \[S2802] Feed quality score into evidence-strength scoring while preserving per-source relevance as a bounded component (`scripts/lib/ai-runtime/scoring.ts`)
* [x] T014 \[S2802] Persist additive evidence quality and collection-health fields in parsed payload output with defaulted legacy behavior (`src/extensions/trend-finder/schema.ts`)
* [x] T015 \[S2802] Render Sources header and health tiles for duplicate rate and N-of-M source coverage with explicit empty, degraded, warning, and offline states (`src/extensions/trend-finder/views/sources-view.tsx`)
* [x] T016 \[S2802] Render Engine Replay source-stage quality and collection-health counters with sanitized aggregate fields (`src/extensions/trend-finder/components/engine-source-rail.tsx`)
* [x] T017 \[S2802] Add Signal Workbench quality score values and stable sort key without resizing existing rows (`src/extensions/trend-finder/signal-workbench-model.ts`)
* [x] T018 \[S2802] Render optional Signal Workbench quality pill or column with accessible labels and deterministic sort affordance (`src/extensions/trend-finder/components/signal-workbench-table.tsx`)
* [x] T019 \[S2802] Map collector collection-health trace events into Engine Replay builders with private-path and raw URL leak checks (`scripts/extensions/trend-finder/engine-trace.ts`)

***

## Testing (5 tasks)

Verification and quality assurance.

* [x] T020 \[S2802] Add collector tests for quality propagation, duplicate-rate rollup, high-duplicate warning state, degraded coverage, and browser-safe output (`scripts/extensions/trend-finder/__tests__/collector.test.ts`)
* [x] T021 \[S2802] Add scoring tests proving quality-selected evidence affects evidence strength without changing six-factor weights or syndication grouping (`scripts/lib/ai-runtime/__tests__/scoring.test.ts`)
* [x] T022 \[S2802] Add schema and view-model tests for legacy payload defaults, quality labels, duplicate-rate labels, and coverage labels (`src/extensions/trend-finder/__tests__/view-model.test.ts`)
* [x] T023 \[S2802] Add Engine Replay component tests for duplicate pressure and source-coverage rendering (`src/extensions/trend-finder/components/__tests__/engine-source-rail.test.tsx`)
* [x] T024 \[S2802] Run focused Vitest suites, script typecheck, and ASCII/LF validation for all session artifacts (`package.json`)

***

## Completion Checklist

Before marking session complete:

* [x] All tasks marked `[x]`
* [x] All tests passing
* [x] All files ASCII-encoded
* [x] implementation-notes.md updated
* [x] Ready for the validate workflow step

***

## Next Steps

Run the implement workflow step to begin AI-led implementation.


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