spb/airiskindex Public
The most methodologically rigorous, fully transparent AI job-exposure index.
TypeScript 88%
Python 6.1%
SQL 2.7%
CSS 1.2%
JavaScript 0.9%
Shell 0.8%
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feat(web): distribution charts on detail pages + ultra-detailed README with metric badges
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- DistributionChart: task histogram + position-in-index (emphasis form, recessive context bins, accent marker with rank pill) - README: badges, headline metrics table, methodology summary, API docs, monorepo map, quick start, roadmap, citation & contact Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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feat: scaffold AI Risk Index platform (research corpus, methodology v1 draft, monorepo)
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- docs/research: 4-document research corpus grounding v1 (indices, data sources, rater API, landscape/evidence), compiled 2026-08-05 - docs/methodology: METHODOLOGY.md v1 draft, changelog, worked example - packages/scoring: pure deterministic engine (5 weighted dimensions, barriers inverted, exposure/substitution/augmentation sub-scores with CI bounds), snapshot + fast-check property tests - packages/db: Prisma schema with rating audit trail and immutable runs - apps/web: Next.js 14 site + public API v1 (health, methodology, occupations) - apps/worker: BullMQ multi-model rater pipeline (Message Batches, versioned rubric prompt v1) + score:recompute - apps/etl: Python skeleton with O*NET 30.3 downloader - infra: compose files, deploy.sh, ngrok.yml, env template Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>