rpi-implement

rpi-implement is a skill for Claude Code from microsoft/hve-core. It costs 32 tokens per session (1,617 once invoked), scanned A, original, MIT.

An implementation workflow for carrying out an approved plan and recording what changed and how it was validated.

In plain words
What is it for?
Use it to implement a full plan, a phase, or a specific task within a phase, with documented changes and checks.
Why use it?
It keeps the plan, implementation notes, and completion evidence aligned while work is in progress.

Skill for Claude Code ✓ vendor

Written for Claude Code: user-invocable in frontmatter.

Good fit Use it to implement a full plan, a phase, or a specific task within a phase, with documented changes and checks.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/hve-core/rpi-implement
About the project

HVE Core is a collection of agents, prompts, coding instructions, and skills for building repeatable software-development workflows with GitHub Copilot. It is intended for individuals and teams that want structured AI-assisted research, planning, implementation, and review, while the catalogue entries provide many of its reusable workflow components.

microsoft/hve-core · 1,436 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add microsoft/hve-core --skill rpi-implement
Clone the repo
git clone --depth 1 https://github.com/microsoft/hve-core

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for rpi-implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/hve-core/rpi-implement.svg)](https://agentmods.dev/skills/microsoft/hve-core/rpi-implement)
Your own site
<a href="https://agentmods.dev/skills/microsoft/hve-core/rpi-implement"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/rpi-implement.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,617 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.01617
Opus 5 $0.00016 $0.00809
Sonnet 5 $0.00006 $0.00323
Haiku 4.5 $0.00003 $0.00162

Measured 3d ago against content hash f66cd3d89ba5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

rpi-implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.github/skills/rpi/rpi-implement/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RPI Implement

Goal

Deliver the approved outcome using the current plan and phase details as evidence. Keep task completion, implementation evidence, plan maintenance, and validation trustworthy for the caller.

Flow

  1. Resolve the exact plan at .copilot-tracking/plans/{{YYYY-MM-DD}}/{{task_slug}}-plan.md, related plan details, and declared invocation scope: the full plan, one Pxx phase, or one Pxx-Txx task. The declared scope limits completion claims and active implementation.
  2. Create or continue .copilot-tracking/changes/{{YYYY-MM-DD}}/{{task_slug}}-changes.md using templates/changes-log.md. Record material evidence under descriptive headings tied to plan areas or markers, not per-entry formal IDs.
  3. Before substantive source edits or implementation, update the plan checklist, changes log, and any related state tracking artifacts.
  4. Start with the first unchecked dependency-ready plan item in declared scope, then execute eligible items in plan order.
    • Delegate only a whole Pxx phase when it is in declared scope, dependency-ready, independent, parallelizable, and write-disjoint. Its scope, dependencies, disjoint write boundary, and expected evidence return must be clear. The primary implementation agent executes individual Pxx-Txx tasks, consumes phase returns, and retains plan order, plan and changes-record reconciliation, implementation-time plan updates, and completion markers.
    • When stated task completion evidence exists, immediately check the completed Pxx-Txx marker in scope. Check a Pxx phase immediately only when that phase is in scope and completion evidence exists for every task in the phase. Do not check markers outside declared scope.
  5. When declared scope finishes, ensure its changes, blockers, completion markers, remaining work, and validation state are current. Report active plan markers outside the scope as remaining work. Report full-plan completion only when the full plan was declared and all of its markers have completion evidence.
  6. Classify new implementation information using references/implementation.md: retain ordinary local judgment, apply immediately relevant current-state updates that preserve approved intent, record unrelated work as follow-up-only, and treat a discovery as material only when it requires a new user decision or planning reconsideration.
  7. Ask for the smallest decision-critical user input only when available evidence cannot support a responsible user-owned decision. Persist the result in current planning state and the changes record. If the accepted plan must change, pause only affected dependent work and return the current evidence to planning. The confirmed user decision remains authoritative; do not run another critique.
  8. Run validation expected by the plan or changed behavior after the approved source or correction batch is complete. Record checks, results, and explicit skip reasons without treating validation alone as permission to resume paused dependent work.
  9. Before handing a full-plan or review-ready scope to Review, reconcile plan markers, phase details, completed-work evidence, handoff prose, blockers, remaining work, follow-up items, and validation state.
  10. Return the current implementation result to the caller using the return contract below.

Read the full file on GitHub · 77 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 3d ago First seen · 77 lines · 32 tokens per session scan A f66cd3d89ba5

Subscribe to this mod's changes

rpi-implement is a skill published in the GitHub repository microsoft/hve-core (1,436 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 1,617 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.