Individual skill

licensing-review-solver

Solve structured licensing review tasks that use a read-only task environment and require strict JSON answers, including contractor eligibility batches, restricted liquor-license staff packages, and alcohol renewal manual-review queues. Use when the prompt references licensing endpoints, policies, contractor applications/bonds/insurance/history/violations, liquor applications/settlements/privileges/incidents/site evidence, alcohol renewal licensees/violations/rules, or an answer_template.json schema.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/naive/fewshot_attempt_02/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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SKILL.mdcore · 3,199 bytes
SKILL.mdcore · 3,199 bytes
SKILL.mdcore · 3,199 bytes
SKILL.mdcore · 3,199 bytes
references/licensing-patterns.mddoc · 7,265 bytes
scripts/check_answer_template.pyruns · 4,071 bytes
scripts/fetch_licensing_data.pyruns · 3,502 bytes

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# Licensing Review Solver

## Core Workflow

1. Read the prompt, `input/payloads/answer_template.json`, and the task's `environment_access.md`.
2. Use only endpoints and SQL access allowed by `environment_access.md`. Never call `/api/judge`.
3. Fetch policies first, then fetch every business endpoint named in the prompt. Prefer SQL for targeted joins or filtering when a token is provided.
4. Parse JSON-in-string fields such as policy `details_json` and settlement `controls_json`.
5. Build the answer from source records and the template. Use exactly the required keys, allowed enum values, casing, ordering rules, and empty arrays where nothing applies.
6. Before finalizing, validate that summary counts and ID lists are consistent with item-level records. Return only the JSON object.

Useful helpers:

```bash