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skills/earnings-postmortem/SKILL.md

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---
name: earnings-postmortem
description: Use to analyze earnings, attribute forecast errors, update the model, and record process lessons. Produces a source-traceable workflow with deterministic calculations, explicit open gates, and an auditable decision layer.
---

# Earnings Postmortem

Use this workflow only when it matches the user's requested scope. The original manual in ../../canonical is authoritative and must not be condensed away.

## Read first

- ../../references/v2/source-policy.md
- ../../references/v2/evidence-system.md
- ../../references/v2/state-and-gates.md
- ../../references/v2/audit-protocol.md
- ../../references/v2/confidence-scoring.md when scoring confidence
- ../../references/v2/research-budget-evoi.md for deep prioritization

## Canonical routing

- M008-M009
- M051-M052
- M064-M065
- Appendix I

## Required workflow gates

1. reported versus expected bridge
2. forecast error attribution
3. definition changes
4. guidance and model update
5. thesis delta
6. process post-mortem

Use the schemas in ../../schemas/v2, applicable deterministic scripts in ../../scripts, and the relevant sector model in ../../sector-models. For a current company, browsing and primary-source retrieval are mandatory. Classify each material statement, retain contrary evidence, and state the research cutoff. Run ../../scripts/research_audit.py before a completion claim. Failed mandatory gates require RESEARCH INCOMPLETE, with the missing evidence and decision impact named explicitly.

Do not execute securities transactions or present research confidence as a guarantee of investment outcome.

SHA-256: e96fdcffe07fbc00e403b2a91ce9a02bf66129b32cc1e89741950ce83a5ebc08