Individual skill

licensing-record-json-review

Use this skill for licensing-environment tasks that ask Codex to produce strict JSON decisions from contractor, liquor, alcohol renewal, policy, incident, financial coverage, correspondence, inspection, settlement, privilege, or site-evidence records. Trigger for State Contractors Licensing Board eligibility batches, restricted liquor-license staff packages, alcohol renewal manual-review queues, and similar prompts that reference TASK_ENV_BASE_URL endpoints and an answer_template.json schema.

experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/opencode/fewshot_attempt_01/SKILL.md

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# Licensing Record JSON Review

Use this skill to solve structured licensing review tasks against a task environment. The usual failure modes are incomplete endpoint reads, mixing distractor records into the target set, treating schema enums loosely, and writing prose outside the required JSON.

## Core Workflow

1. Read the user prompt and `input/payloads/answer_template.json` before fetching data.
2. Extract the target identifiers, review date or release boundary, required output keys, enum values, list ordering rules, and any target queue size.
3. Resolve `<TASK_ENV_BASE_URL>` from the prompt or environment instructions.
4. Fetch `GET /api/policies` and every domain endpoint named in the prompt.
5. Filter every dataset to the prompt targets. Prefer endpoint query parameters such as `?application_id=...`, `?location_id=...`, `?license_no=...`, and `?license_class=...` when available; unfiltered endpoints may be paged and may include many distractors.
6. Use SQL only when the environment gives a valid token or clear access instructions. Keep SQL target-restricted.
7. Build an intermediate worksheet per target: source records, applied policy thresholds, derived codes, and exclusions. Use it for reasoning, not final output.
8. Emit only JSON matching the template. Do not include citations, comments, markdown, or extra keys.