Individual skill
portfolio-env-review
Use when answering engineering portfolio environment tasks that require JSON-only portfolio mix, SLA aging, or release readiness analysis from work item, mix target, SLA, release, milestone, blocker, dependency, and restricted SQL endpoints.
experiments/codex_gpt5_5_xhigh/reports/skills/task_group_024/fewshot/fewshot_attempt_03/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 6, 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
- engineering Derived category
- data Derived category
- data-databases 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 · 8,777 bytes
Read excerpt
# Portfolio Environment Review
Use this skill for tasks that ask for a structured JSON answer from the shared engineering portfolio environment. The common task families are portfolio-mix reviews, SLA aging audits, and release-readiness assessments.
## Core Workflow
1. Read the user prompt, every file in the current task input payloads, and the answer template/schema before querying data.
2. Read the runtime access file for the environment base URL, token, and allowed endpoints. Do not hardcode training-run values.
3. Fetch authoritative data from the API. Prefer endpoint JSON for full objects; use `POST /api/query` with body `{"sql": "SELECT ..."}` for focused filters or joins. The query endpoint accepts only SELECT statements and returns `columns`, `rows`, `row_count`, and `truncated`.
4. Treat `work_items.status`, `closed_at`, `duplicate_of`, `release_id`, `milestone_id`, labels, and `work_type` as authoritative. Ignore `mirror_status` and `legacy_category` for truth unless the prompt explicitly asks to audit stale fields.
5. Build the requested answer from current environment data, then validate it exactly against the provided template: required keys, enum values, ordering, rounding precision, and JSON-only output.
## Work Item Conventions