Jonathan KirkwoodandClaude Fable 5
b1d7aed9f4
- Deterministic scoring.py (quant 60 / qual 40 / flags -15, profitability heaviest) - Per-company JSON ledger with forecast-target chaining deck N-1 -> N - Single-shot sandbox agent with guided-JSON fallback ladder (no tool loop) - Portfolio dashboard with sparklines, KPI hit rates, BDEF category bars - 48 unit tests green; endpoints smoke-tested; npm check+build green Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
23 lines
927 B
TypeScript
23 lines
927 B
TypeScript
import { sdk } from '../sdk'
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import { configureSparks } from './configure-sparks'
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import { testConnection } from './test-connection'
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import { configureModels } from './configure-models'
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import { configureGraders } from './configure-graders'
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import { configureGrading } from './configure-grading'
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import { configureCompanies } from './configure-companies'
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import { gradeDecks } from './grade-decks'
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import { latestScorecard } from './latest-scorecard'
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// Setup group: Sparks -> connection test -> model catalog.
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// Grading group: panel -> scoring knobs -> portfolio companies.
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// Ungrouped (day-to-day): grade the inbox, read the latest scorecard.
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export const actions = sdk.Actions.of()
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.addAction(configureSparks)
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.addAction(testConnection)
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.addAction(configureModels)
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.addAction(configureGraders)
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.addAction(configureGrading)
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.addAction(configureCompanies)
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.addAction(gradeDecks)
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.addAction(latestScorecard)
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