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licensing-record-review

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Structured licensing review from task-environment records. Use when solving contractor application eligibility batches, restricted liquor-license staff packages, or alcohol renewal manual-review queues that require fetching policy and licensing endpoints from TASK_ENV_BASE_URL and returning strict JSON matching an answer_template.json schema.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/deepagents/fewshot_attempt_02/SKILL.md

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Oct 29, 2026
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Apache-2.0

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# Licensing Record Review

## Core Workflow

Use the prompt and `input/payloads/answer_template.json` as the output contract. Return only the JSON object requested by the template; do not include prose, citations, comments, or unrequested keys.

1. Identify the review family from the prompt and endpoints:
   - Contractor batches: contractor applications, bonds, insurance, license history, violations, correspondence, inspections.
   - Restricted liquor reviews: liquor applications, settlements, privileges, incidents, site evidence.
   - Alcohol renewal queues: alcohol licensees, alcohol violations, renewal rules.
2. Fetch every endpoint named in the prompt. Add `?limit=500` or a larger limit to GET requests; default responses can be capped. Use `POST /api/sql` only when the environment provides a usable token or credentials.
3. Filter records to the target application IDs, license numbers, location IDs, and directly related prior/successor identifiers. Keep distractor rows out of calculations unless they are linked by an explicit relationship such as `prior_license_id`, `related_application_id`, or `successor_to`.
4. Parse JSON-in-string fields such as `details_json` and `controls_json` before reasoning.
5. Apply the family reference:
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