Individual skill
task-group-009-fewshot-attempt-01
SOP for Crescent Finance Ops API reporting tasks. Use when a task provides environment_access.json, request_memo.json, and answer_template.json for branch or regional finance reporting, ensemble compensation summaries or forecasts, or touring production weekly payroll reviews.
experiments/codex_gpt5_5_xhigh/reports/skills/task_group_009/demonstration_skill/demonstration_skill_attempt_01/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 121
- Repository last updated
- Oct 29, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent Repository topic
- ai Repository topic
- benchmark Repository topic
- llm Repository topic
- self-evolving Repository topic
- self-learning Repository topic
- skills Repository topic
- finance Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 9,791 bytes
Read excerpt
# Crescent Finance Ops SOP
Use this skill to produce one JSON object from the active Finance Ops API. Treat the request memo and answer template as the contract. Do not copy training answers as constants or infer answers from branch/ensemble/production IDs alone.
## First Pass
1. Read only the task input payloads: `prompt.txt`, `payloads/environment_access.json`, `payloads/request_memo.json`, and `payloads/answer_template.json`.
2. Use `base_url` from `environment_access.json`; call only endpoints listed in `available_endpoints`.
3. Fetch the full endpoint data, then filter client-side by IDs from `request_memo.json`.
4. Build exactly the keys required by `answer_template.json`; keep key names and nested shapes unchanged.
5. Keep calculations unrounded until the final JSON fields. Return JSON numbers, not strings.
For HTTP clients, the API returns raw JSON objects or arrays. Some shells wrap arrays during display; normalize to the raw array before calculating.