Individual skill
engineering-portfolio-audit
Analyze shared engineering portfolio task environments and produce schema-exact JSON answers for work item portfolio mix, SLA aging, release readiness, blockers, dependencies, duplicate clusters, stale mirror fields, and prompts that provide a TASK_ENV_BASE_URL plus answer_template.json.
experiments/codex_skill_creator_comparison_gpt5_5_xhigh/reports/skills/task_group_024/fewshot/codex/fewshot_attempt_02/SKILL.md
Source commit 5082a777379156a048881e94940d640702e5e09a
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- Yes
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- No
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
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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.
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SKILL.mdcore · 2,399 bytesSKILL.mdcore · 2,399 bytesagents/openai.yamlasset · 238 bytesreferences/analysis-rules.mddoc · 7,859 bytesscripts/fetch_env_snapshot.pyruns · 2,497 bytes
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# Engineering Portfolio Audit
Use this skill to answer task-environment prompts that ask for portfolio mix, SLA aging, or release readiness from work item data. Treat the prompt and `input/payloads/answer_template.json` as the output contract.
## Core Workflow
1. Read the user prompt, answer template, and runtime access file. Extract the base URL, allowed endpoints, scope filters, dates, precision, ordering, and required JSON keys.
2. Fetch the environment data. Prefer `scripts/fetch_env_snapshot.py` for documented GET endpoints:
```bash
python3 skill/scripts/fetch_env_snapshot.py --base-url "$TASK_ENV_BASE_URL" --out /tmp/task-env-snapshot.json
```
If a restricted SQL query token is supplied, pass it only to documented query calls that need it. The observed GET endpoints are sufficient for portfolio mix, SLA aging, and release readiness tasks.