Individual skill
review-hub-legal-remediation
Use this skill for Investigation Review Hub legal/eDiscovery tasks that ask for structured JSON gap analyses, production-readiness reviews, retention or litigation-hold reviews, privilege/QC remediation dashboards, subpoena category coverage, numeric risk metrics, or prioritized remediation action plans from hub endpoints and task-local answer templates.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_017/fewshot/opencode/fewshot_attempt_02/SKILL.md
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
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- legal Derived category
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# Investigation Review Hub Legal Remediation
Use this workflow when a task asks you to synthesize a legal review hub into a strict JSON answer. The common pattern is: read the prompt and task-local payloads, query the running hub for one matter, identify material preservation, collection, responsiveness, privilege, QC, retention, and archive issues, then emit exactly one JSON object matching `input/payloads/answer_template.json`.
## Boundary
- Use only task-local payload files and the Investigation Review Hub endpoints supplied by the prompt or environment note.
- Do not inspect environment source files, database files, seed files, generated manifests, hidden notes, prior answers, or evaluator files.
- Treat the hub as the source of record for business evidence. Use local payloads only for the answer schema and request context.
- Return only the requested JSON object. Do not include prose, citations, markdown fences, or diagnostic notes in the final answer.
## Fast Start
1. Read the user prompt, `input/payloads/answer_template.json`, and every other task-local payload.