test(market-research): cover v2 scripts in smoke; update README

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

plugins/market-research/README.md

@@ -6,14 +6,16 @@ scored, non-repeating clone candidates, then hands user-chosen candidates to the
 
 ## What it does
 
-`/market-research` runs a 6-phase workflow:
+`/market-research` runs an 8-phase workflow (0–7):
 
 0. **Seed rotation** — pick varied search angles (category × region × niche) so runs differ.
-1. **Gather** — App Store RSS chart data (`fetch-charts.py`) + free web search for trends.
+1. **Gather** — App Store RSS (`fetch-charts.py`) + play.google.com charts (`fetch-play-charts.py`) + Google Trends best-effort (`trends.py`) + free web search.
 2. **Synthesize** — cluster findings into ≥10 distinct app/game ideas.
-3. **Score** — composite score: cloneability + market opportunity + monetization fit.
+3. **Score** — composite numeric score: cloneability 35 + market 35 + monetization 20 + niche 10 (see `scoring-guide.md` + `numeric-sources.md`).
 4. **Dedup** — exclude anything already in `./work/market-research/history.json`.
-5. **Present + handoff** — show the ranked table; chosen candidates flow into `clone-app`.
+5. **Present** — show the scored, ranked table.
+6. **Survivor-only enrichment** — for user-chosen candidates only: resolve the Play Store package ID (`play.py`) and verify the link is live via WebFetch before handing off.
+7. **Handoff** — chosen candidates (with verified Play links) flow into `clone-app`.
 
 ## State
 
@@ -23,7 +25,10 @@ Written under `./work/market-research/` in your current directory:
 
 ## Scripts
 
-- `scripts/fetch-charts.py` — fetch App Store RSS chart feeds → normalized JSON.
+- `scripts/fetch-charts.py` — fetch Apple App Store RSS chart feeds → normalized JSON.
+- `scripts/fetch-play-charts.py` — fetch play.google.com top/category charts → normalized JSON (no AppBrain; uses the public Play web endpoint directly).
+- `scripts/play.py` — resolve an app name or bundle ID to a Play Store package ID and count search results (used in survivor-only enrichment, Phase 6).
+- `scripts/trends.py` — best-effort Google Trends interest data for a keyword; never hard-fails (falls back to `null` if the endpoint is unavailable).
 - `scripts/history.py` — read / append / dedup the suggestion history.
 
 Python is stdlib-only. Tests run offline against `tests/fixtures/`:
@@ -32,6 +37,15 @@ Python is stdlib-only. Tests run offline against `tests/fixtures/`:
 bash plugins/market-research/tests/run-all.sh
 ```
 
+## References
+
+AI-judgment rubrics under `skills/market-research/references/`:
+
+- `research-angles.md` — rotating category × region × niche seeds for run-to-run variety.
+- `scoring-guide.md` — the 0–100 weighted composite formula and per-dimension guidance.
+- `numeric-sources.md` — how to map raw data (chart rank, install count, rating, search results) to numeric sub-scores used by `scoring-guide.md`.
+- `report-template.md` — output format for the scored candidate table and per-candidate write-ups.
+
 ## Effort convention
 
 Effort is measured in **AI Sprints** (one focused Claude session), never calendar time.

plugins/market-research/tests/smoke-structure.sh

@@ -10,11 +10,11 @@ must_exist "$P/.claude-plugin/plugin.json"
 must_exist "$P/commands/market-research.md"
 must_exist "$P/README.md"
 must_exist "$P/skills/market-research/SKILL.md"
-for s in fetch-charts.py history.py; do
+for s in fetch-charts.py history.py fetch-play-charts.py play.py trends.py; do
   must_exist "$P/skills/market-research/scripts/$s"
   must_exec  "$P/skills/market-research/scripts/$s"
 done
-for r in research-angles scoring-guide report-template; do
+for r in research-angles scoring-guide report-template numeric-sources; do
   must_exist "$P/skills/market-research/references/$r.md"
 done