skills/finrun/assets/radar.template.json

{
  "schema_version": "1.1.0",
  "kind": "finrunbook-radar-batch",
  "batch": {
    "id": null,
    "local_date": null,
    "timezone": null,
    "started_at": null,
    "updated_at": null,
    "window_start": null,
    "window_end": null,
    "repository_revision": null,
    "status": "discovering"
  },
  "request": {
    "raw": null,
    "language": null,
    "mode": "research",
    "lookback_hours": 24,
    "target_min_reports": 3,
    "max_reports": 5,
    "context_days": 7,
    "dedup_days": 7,
    "requested_platforms": ["hacker-news", "gdelt", "google-trends-rss"],
    "evidence_sources": ["sec-edgar", "company-ir"],
    "disabled_platforms": ["x"],
    "schedule_enabled": false,
    "publish": false,
    "assumptions": []
  },
  "coverage": [],
  "discussions": [],
  "signals": [],
  "topics": [],
  "selection": {
    "ranked_topic_ids": [],
    "method": "Timeliness, financial mechanism, primary-evidence and novelty gates; balance source-relative community/news/search attention with financial consequence and evidence readiness. Label material-event selections separately; no cross-source audience sum or global popularity claim.",
    "frozen_at": null,
    "shortfall_reason": null,
    "diversity_tradeoffs": []
  },
  "delivery": {
    "index_path": "index.html",
    "completed_reports": 0,
    "selected_topics": 0,
    "limitations": [],
    "published": false
  }
}