Individual skill

review-hub-remediation-json

Build structured JSON answers for Investigation Review Hub legal review tasks involving production gaps, retention and preservation losses, source collection gaps, privilege-log defects, QC miscoding, and remediation action plans. Use when a prompt asks for a JSON-only subpoena, SEC, grand jury, production-readiness, gap-analysis, or remediation dashboard answer from Review Hub API endpoints and an answer_template.json file.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_017/fewshot/deepagents/fewshot_attempt_01/SKILL.md

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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

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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 · 3,809 bytes
SKILL.mdcore · 3,809 bytes
SKILL.mdcore · 3,809 bytes
SKILL.mdcore · 3,809 bytes
references/review_hub_mapping.mddoc · 6,842 bytes
scripts/fetch_review_hub.pyruns · 6,257 bytes

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# Review Hub Remediation JSON

## Core Rule

Return exactly the JSON object requested by the task template. Treat the task prompt, task-local payloads, and the running Review Hub API as the only business evidence. Do not inspect local environment source, database files, generated manifests, hidden notes, evaluator files, or answer files.

## Workflow

1. Read the prompt, every task-local payload, and the full `answer_template.json`.
2. Extract the matter ID, base URL, any API key header, required top-level keys, enum values, field names, ordering rules, and numeric precision rules.
3. Collect Review Hub evidence for only the requested matter. Use `scripts/fetch_review_hub.py` if a generic fetch-and-filter bundle would help:

   ```bash
   python skill/scripts/fetch_review_hub.py "$TASK_ENV_BASE_URL" "$MATTER_ID" --api-key "$API_KEY" > hub.json