Individual skill

investigation-review-hub-gap-analysis

Produce the required structured-JSON deliverable for an "Investigation Review Hub" legal e-discovery task — first-rolling-production gap analysis, retention/litigation-hold gap review, cross-system remediation dashboard, or production-readiness review — for a grand-jury or SEC subpoena matter. Use when a task gives a matter_id (MTR-*), points to a read-only Investigation Review Hub API (base URL + `X-API-Key`), and asks for one JSON object conforming to a local `input/payloads/answer_template.json`. The skill reads the matter's evidence from the hub, separates material preservation / collection / privilege / QC / responsiveness gaps from routine noise, and maps them onto the task's template enums.

experiments/claude_code_opus_4_8_xhigh/reports/skills/task_group_017/self/self_attempt_03/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Investigation Review Hub — gap-analysis & remediation-dashboard skill

## 1. What this task family is

Every task in this family asks for **one JSON object** that reviews a single legal matter
(`matter_id` like `MTR-<NAME>-GJ` or `MTR-<NAME>-SEC`) for e-discovery production gaps and
defects, and lays out a remediation/action plan. The deliverable goes by different names —
*first rolling gap analysis*, *retention & litigation-hold gap review*, *cross-system
remediation dashboard*, *production-readiness review* — but they are the **same underlying
analysis** over the **same data source** (the Investigation Review Hub API), differing only in
which slice they emphasize and in the exact output schema.

**The single source of truth for evidence is the hub API.** Never read environment source
files, database files, seeds, generated manifests, hidden notes, or any answer/eval file — the