news-sentiment

Extract structured, source-attributed sentiment context for one symbol.

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Install skill "news-sentiment" with this command: npx skills add proompteng/lab/proompteng-lab-news-sentiment

news-sentiment

Extract structured, source-attributed sentiment context for one symbol.

Scripted execution

  • Runner: skills/news-sentiment/scripts/news_run.py
  • Shared lifecycle client: skills/market-context/scripts/market_context_run_api.py
  • Shared validator: skills/market-context/scripts/validate_market_context_payload.py

Use news_run.py to:

  1. open run lifecycle (start + progress),
  2. validate payload contract,
  3. optionally submit parsed evidence rows,
  4. finalize to Jangar so DB persistence happens server-side.

Output contract

Return JSON keys:

  • context_version
  • as_of_utc
  • symbol
  • freshness_seconds
  • source_count
  • quality_score
  • payload.items (headline, sentiment, source)
  • citations

Rules

  • Prefer recency over volume.
  • Mark missing sources explicitly.

Source Transparency

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Related Skills

Related by shared tags or category signals.

General

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memories

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quality-checks

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news-sentiment | V50.AI