Individual skill
licensing-review-json
Produce schema-conforming JSON for licensing-environment review tasks. Use when a prompt asks Codex to analyze task-environment records for contractor application eligibility batches, restricted liquor-license staff packages, or alcohol renewal manual-review queues, especially when outputs must match an answer_template.json exactly.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_019/fewshot/codex/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Nov 6, 2026
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- Oct 29, 2026
- License
- Apache-2.0
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SKILL.mdcore · 10,947 bytesSKILL.mdcore · 10,947 bytesscripts/collect_records.pyruns · 6,691 bytes
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# Licensing Review JSON
## Core Workflow
1. Read the prompt and `input/payloads/answer_template.json` first. Extract the task family, target identifiers, review date or release boundary, endpoint list, required top-level keys, allowed enum values, ordering rules, and summary fields.
2. Fetch only the endpoint data needed for the target identifiers. Prefer the GET endpoints listed in the prompt. Treat `POST /api/sql` as optional: use it only when the environment provides credentials and it saves work.
3. Parse JSON-encoded fields such as `details_json` and `controls_json` before applying rules.
4. Derive facts from current records, then map them into the exact code vocabulary in the answer template. When two templates use different names for the same concept, choose the allowed name from the current template.
5. Return only the JSON object. Do not include prose, markdown, citations, comments, or keys not present in the template.
Use `scripts/collect_records.py` from this skill directory when endpoint filtering would save time:
```bash
python scripts/collect_records.py --base-url "$TASK_ENV_BASE_URL" --family contractor --ids C-001 C-002