Individual skill
licensing-review-solver
Structured licensing data-service review for contractor eligibility batches, restricted liquor-license staff packages, and alcohol renewal manual-review queues. Use when a prompt provides licensing environment endpoints plus a JSON answer template and asks Codex to return exact JSON decisions, risk codes, monitoring plans, queue ranks, or summaries for contractor applications, liquor premises controls, or alcohol renewal releases.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/naive/fewshot_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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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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SKILL.mdcore · 13,342 bytes
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# Licensing Review Solver
## Overview
Solve licensing review tasks by building a record-backed decision table from the task environment, applying the current policy records, mapping findings to the answer template's allowed code vocabulary, and returning only schema-conformant JSON.
## Core Workflow
1. Read the prompt and `input/payloads/answer_template.json` before querying data.
2. Extract the target identifiers, review date or release boundary, queue size, required endpoints, ordering rules, allowed enum values, and required summary keys.
3. Read the environment access instructions when present. Use the prompt base URL or the access file's base URL. If SQL is allowed, send the documented token header and only `SELECT` queries.
4. Query `/api/policies` for all task families. Query `/api/renewal/rules` for renewal queues.
5. Prefer filtered SQL queries over unfiltered endpoint dumps. Filter to the prompt's target application IDs, location IDs, license numbers, and any predecessor or successor license numbers discovered from target rows.
6. Normalize records into one case file per target. Keep the raw IDs needed for summary arrays.