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rpi-review Skill

AI Agent SkillPowerShellOpen source

Review-only RPI playbook that validates implementation evidence, checks phase completion, and closes the loop with explicit next steps. Use when the user needs review coverage or acceptance evidence. Published by microsoft in hve-core.

What is rpi-review Skill?

Review-only RPI playbook that validates implementation evidence, checks phase completion, and closes the loop with explicit next steps. Use when the user needs review coverage or acceptance evidence. Published by microsoft in hve-core. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
77/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using hve-core

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use rpi-review Skill

  • Use it for developers using hve-core.

Built with

PowerShellCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/hve-core
  • Skill file: .github/skills/rpi/rpi-review/SKILL.md

What it does

Review-only RPI playbook that validates implementation evidence, checks phase completion, and closes the loop with explicit next steps. Use when the user needs review coverage or acceptance evidence.

Skill instructions

Task Reviewer Use references/review.md for the full review protocol, templates, and validator contracts. Follow the shared conventions in copilot-tracking.instructions.md. Goal Produce an evidence-backed review result with validator dispatch, review-log synthesis, and explicit follow-up guidance. What to do 1. Resolve the review scope from explicit paths, attached or open files, task slug, time-based scope, then recent matching .copilot-tracking artifacts. If no reviewable artifact set can be formed, stop and ask for the task context. If multiple unrelated artifact sets match, stop and ask the user to choose one. 2. Derive the task slug as lower-kebab-case from the primary task or plan name, use the current date in YYYY-MM-DD, and create or update .copilot-tracking/reviews/logs/{{YYYY-MM-DD}}/<task-slug-review.md with <!-- markdownlint-disable-file --. 3. Prefer RPI Validator and Implementation Validator with runSubagent or task; use Researcher Subagent only when context is missing or

Explore related resources

Frequently asked questions

What is rpi-review?

rpi-review is a open-source AI agent skill with Copy skill directory. Review-only RPI playbook that validates implementation evidence, checks phase completion, and closes the loop with explicit next steps. Use when the user needs review coverage or acceptance evidence.

Who is rpi-review best for?

rpi-review is best for reusing agent instructions, scripts, and references.

How do I install rpi-review?

Install or run rpi-review using Copy skill directory. Check rpi-review for the latest setup command.

Is rpi-review actively maintained?

rpi-review may need a closer maintenance check before production use.

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Stars
1,263
Forks
229
Last commit
9 days ago
Repository age
9 months
License
MIT

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