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investigation-hub-production-gap-analysis

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Produce a structured-JSON litigation e-discovery gap / production-readiness / remediation analysis for an investigation matter whose evidence lives in a read-only "Investigation Review Hub". Use when a task gives a matter_id, points at a review hub as the source of record, and asks for a JSON object conforming to a provided answer_template.json (critical findings, category statuses, retention/communication gaps, privilege corrections, top risks, metrics, prioritized actions, etc.). Covers subpoena/grand-jury/SEC/DOJ production reviews across custodian collection, preservation/retention loss, privilege logging, third-party waiver, and QC/responsiveness coding.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_017/reflect-3/reflect-3_attempt_01/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Investigation Review Hub — production gap analysis

These tasks share one shape: a legal team wants a normalized JSON assessment of
what is wrong with a rolling production for one matter. The prose, the client
name, and the output field names change; the underlying data model and the
reasoning do not. Solve it by pulling the matter's records from the hub,
separating the few **material** records from a large field of look‑alike
**distractors**, deriving exact counts, classifying each with domain rules, and
emitting JSON that conforms exactly to the task's `answer_template.json`.

## What the task hands you

- A **prompt** naming a `matter_id` and the deliverable.
- `input/payloads/answer_template.json` — the output contract: required top‑level
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