# Reflect 3 Attempt 01

> Reflect Portfolio Analytics Skill

- Skill: `prism-shadow/reflect-3-attempt-01-28` (Agent Skill)
- Install (CLI): `npx skillmds@latest add prism-shadow/reflect-3-attempt-01-28`
- Raw SKILL.md: https://api.skillmd.com/api/skills/prism-shadow/reflect-3-attempt-01-28/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: prism-shadow (https://skillmd.com/u/prism-shadow)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/prism-shadow/reflect-3-attempt-01-28

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# Reflect Portfolio Analytics Skill

Use the staged inputs, environment, and judge feedback only during train-time skill generation.

Core rules:
- Use only `environment_access.md` for the runtime endpoints.
- Read the prompt and answer template first.
- During train reflection, make exactly three judge submissions per train task and use the returned score/correct values to refine the next attempt.
- Do not include judge instructions in test-time solving.
- Filter with authoritative status/date/duplicate fields, not mirror or legacy fields.
- Classify using signal precedence: Security, Reliability, TechDebt, then NewFeature.
- Count items, not points.
- Round percentages to one decimal place and breach/readiness values to the required precision.
- Keep exclusion lists separate from included primary sets.