Individual skill

investigation-review-hub-remediation

Use this skill whenever a task asks for a structured JSON legal review, production-readiness review, retention or preservation gap analysis, privilege/QC remediation dashboard, or subpoena response dashboard using the Investigation Review Hub. It is especially relevant when the prompt mentions matter IDs, subpoena categories, custodial sources, retention events, privilege logs, QC findings, remediation actions, or an answer_template.json that must be followed exactly.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_017/fewshot/cc/fewshot_attempt_02/SKILL.md

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Observed behavior: Network or broad shell
Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 121
Repository last updated: Oct 29, 2026
License: Apache-2.0

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent Repository topic
ai Repository topic
benchmark Repository topic
llm Repository topic
self-evolving Repository topic
self-learning Repository topic
skills Repository topic
legal Derived category

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SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
SKILL.mdcore · 4,611 bytes
references/review_mapping.mddoc · 10,311 bytes
scripts/hub_snapshot.pyruns · 2,742 bytes

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# Investigation Review Hub Remediation

Use this skill to produce a single JSON object for legal review tasks backed by the Investigation Review Hub. The common task pattern is: read the local prompt and payloads, query the shared hub for the requested matter, identify material source, retention, privilege, responsiveness, and QC blockers, then fill the provided `answer_template.json` exactly.

## Source Rules

Use only the task prompt, task-local payload files, and the running Hub API named in the prompt or payload. Do not inspect environment source files, database files, generated manifests, hidden notes, answer files, evaluator files, or unrelated local data.

[Credential-related source omitted]

## First Pass

1. Read the prompt and every payload in `input/payloads/`, especially `answer_template.json`.
2. Extract the `matter_id`, expected output sections, enum choices, required keys, ordering rules, and numeric precision rules from the template.