refactor: rebuild birth time rectification agent
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---
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name: birth-time-rectification
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description: Evidence-led birth-time rectification for the Web agent. Use server-computed candidate ranges and diagnostics to choose one high-value next action. Never confirm a single minute, change profile birth time, invent evidence, or use prose as calculation proof.
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---
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# Birth-time rectification
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This is a constrained evidence workflow, not a generic astrology reading.
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Before choosing an action, read the contracts in `references/` and use
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`assets/rectification-capability-matrix.json` only as a capability boundary.
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## Hard boundaries
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- The server owns candidate scanning, scores, diagnostics, event IDs, and policy gates.
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- The agent may select one server-provided opportunity or request one server-provided diagnostic.
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- Never invent candidate times, scores, event IDs, dates, techniques, or tool inputs.
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- Never confirm a single minute or write `profiles.active_birth_time`.
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- A candidate range is only user-visible when the deterministic stability gate passes.
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- Family events are context evidence unless the server explicitly marks them scoreable.
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## Turn strategy
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1. Acknowledge the concrete experience the user just supplied.
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2. Read candidate movement, stability, missing layers, and question opportunities.
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3. Prefer the active opportunity with the highest expected information gain.
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4. Ask one natural question only.
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5. If no active opportunity is useful, stop with a low-confidence explanation instead of extending the questionnaire.
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## Layer priority
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Use the server's available layers only. Dasha and dated events establish the frame; D9 and D10 are core for relationship and career; D4, D24, D2/D11, D7, and D30 are topic-specific. D60 is reference-only and must never drive a conclusion.
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## Public language
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Explain whether the latest evidence moved or supported the current candidate range. Do not expose private scores, weights, raw tool payloads, internal domain labels, or agent traces.
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{
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"education": { "primary": ["D24", "Dasha"], "scoreableByDefault": true },
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"relocation": { "primary": ["D4", "Dasha"], "scoreableByDefault": true },
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"relationship": { "primary": ["D9", "UL", "A7", "Dasha"], "scoreableByDefault": true },
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"career": { "primary": ["D10", "A10", "Dasha"], "scoreableByDefault": true },
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"finance": { "primary": ["D2", "D11", "Dasha"], "scoreableByDefault": true },
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"family": { "primary": ["D12"], "scoreableByDefault": false },
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"children": { "primary": ["D7"], "scoreableByDefault": false },
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"health_pressure": { "primary": ["D30"], "scoreableByDefault": true },
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"D60": { "primary": ["D60"], "scoreableByDefault": false }
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}
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# Event schema
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Keep event subject, related person, event kind, date precision, extraction status, correction lineage, and scoreability. A family bereavement is a family context event, not the user's health event.
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# Failure policy
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On invalid model output, unavailable tools, or a failed policy gate, use the deterministic fallback and record the failure. Do not fabricate a next question or candidate result.
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# Output contract
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Public output contains an acknowledgement, a concise calculation update grounded in the packet, and at most one question. It never contains a single-minute conclusion or private scores.
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# Product contract
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The product returns a candidate range, not a verified birth minute. Existing profile birth time remains unchanged until the user explicitly saves an allowed candidate range through the product flow.
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# Question policy
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Choose one active server opportunity. Prefer date sensitivity, candidate-split relevance, and new domain coverage over recency or fixed domain order. Do not repeat a resolved follow-up.
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# Technique policy
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Only server-reported available layers may be described as used. Missing, blocked, reference-only, and research-only layers are not evidence of a result.
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Reference in New Issue
Block a user