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Marius CiepluchandClaude Fable 5.1
b49c6610d6
A learning package layered families -> classify -> scoring -> split -> detectors and verifiers -> rounds -> publish, composing the existing seams: the tool hunter gains prompt, context and tool parameters; the hunter path of the pair scorer takes an injected family matcher so pairs never imports learning; every learning path selects teachers through one train-only rule; the regress verdict takes an optional canary oracle; the chat endpoint resolves DeepSeek before OpenRouter with thinking disabled and reasoning replayed, while embeddings keep their own endpoint; HarnessX proposes behind the seam with a scripted proposer for offline runs. Fifty-nine acceptance criteria traced; boundary sections, file structure plan and migration phases populated. Co-Authored-By: Claude Fable 5.1 <[email protected]> Claude-Session: https://claude.ai/code/session_01T7XD7x5KonMdmGRkp63EQG
31 lines
776 B
JSON
31 lines
776 B
JSON
{
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"feature_name": "learning-harness",
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"created_at": "2026-09-06T06:32:41Z",
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"updated_at": "2026-09-06T06:43:38Z",
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"language": "en",
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"phase": "design-generated",
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"approvals": {
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"requirements": {
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"generated": true,
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"approved": true
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},
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"design": {
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"generated": true,
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"approved": false
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},
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"tasks": {
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"generated": false,
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"approved": false
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}
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},
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"ready_for_implementation": false,
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"depends_on": [
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"pair-corpus-honesty",
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"corpus-seeded-mechanisms",
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"authorization-obligations",
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"tree-sitter-overlay-extra",
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"harnessx-self-improving-rulesets"
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],
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"approval_note": "2026-09-06 requirements approved by the maintainer in session ('approve the requirements and run the design phase')"
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}
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