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investigation-review-gap-analysis

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Produce a single structured-JSON gap / defect / remediation analysis for a litigation or investigation matter, driven entirely by an "Investigation Review Hub" dataset and conforming to a task-provided answer_template.json. Use this whenever a task asks for a production gap analysis, a retention / litigation-hold gap review, a cross-system remediation dashboard, a production-readiness review, or a similar structured e-discovery deliverable whose evidence lives in a review hub exposing tables such as matters, subpoena_categories, production_stats, custodian_sources, review_documents, privilege_entries, qc_findings, retention_events, and remediation_actions.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_017/reflect-3/reflect-3_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Investigation Review Hub — structured gap/remediation analysis

These matters vary (grand-jury, SEC, DOJ antitrust; production gap, retention
review, remediation dashboard, readiness review) and every one ships its own
`answer_template.json`, but they are the **same problem**: read a noisy review
hub, separate the handful of *material* defects from realistic operational
noise, normalize them into the template's vocabulary, and compute exact
rollup metrics. Solve them with one repeatable pipeline.

The schema changes per task; the **method does not**. Treat the answer_template
as the contract and the hub as the only source of truth.

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