rpi-implement

rpi-implement is a skill for Claude Code from microsoft/hve-core. It costs 44 tokens per session (2,669 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. Also seen: mentions subagents.

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 · 1,606 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/github.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/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for rpi-implement

Your own site · 80×15
<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,669 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00044 $0.02669
Opus 5.5 $0.00018 $0.01068
Sonnet 5.5 $0.00009 $0.00534
Haiku 4.5 $0.00004 $0.00267

Measured 9d ago against content hash df3ef33451ea, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 9d 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 · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

RPI Implement

Goal

Deliver the approved outcome by following the current task-centered plan. Keep the plan current as new information comes to light, check off work as it completes, and keep a condensed changes log of the behavioral and functional changes made, so the caller can trust what was done and what remains.

Flow

  1. Resolve the exact plan, the one supplied or .copilot-tracking/plans/{{YYYY-MM-DD}}/{{task_slug}}-plan.md, where {{task_slug}} is the work's name: the task slug for a task's first work, or the name a later request's documents carry. Resolve the declared invocation scope: the full plan, one Pxx phase, or one Pxx-Txx task. Read each in-scope task's Goals:, Requirements:, Details:, Guidance: when present, References:, and Dependencies: blocks, follow the linked references, and check the plan's decision and risk tables for rows that name the task. The declared scope limits completion claims and active work.
    • Before source changes, read the plan's Planning Readiness and Critique Disposition. Implementation does not require a critique; a skipped or absent critique is not a blocker. When the plan is marked not ready, records open blockers, or has unresolved blocking critique findings, name them and confirm with the user before implementing affected tasks, unless the user or the confirmed automatic parent already directed implementation with them known.
    • An approved plan is an implementation-ready plan for the declared scope, not a human sign-off. A direct /rpi-implement request needs no additional plan-approval prompt. Agent self-checks are not human attestations; human review applies only when an instruction, domain artifact, or explicit user requirement names it for the affected action, and its checkboxes stay human-owned.
  2. Create or continue .copilot-tracking/changes/{{YYYY-MM-DD}}/{{task_slug}}-changes.md using templates/changes-log.md, named like the plan it implements: a plan named for a later request's work, such as task-board-polish-plan.md, gets task-board-polish-changes.md. Record each completed item under a descriptive heading tied to its plan marker, describing the behavior or functionality that changed rather than the edits made.
  3. Before substantive source edits, bring the plan checklist, changes record, and any related state tracking artifacts current, then send the implementation opening defined in references/implementation.md.
  4. Start with the first unchecked dependency-ready plan item in declared scope and work through eligible items in plan order. When a task's Requirements: hold and its changes-record entry exists, check the Pxx-Txx marker immediately. Check a Pxx phase only when it is in scope and every task in it is checked. Do not check markers outside declared scope. Implementation needs no subagent. Use subagents only when a dispatch tool is available and the user's direction allows them, including using none. When you use them, run dependency-ready tasks that change different files in one parallel batch, keep dependent or same-file work in sequence, and verify each result yourself before checking its marker. Run a subagent on Claude Haiku 5.5 (copilot) at max reasoning effort, passed as dispatch parameters when the tool accepts them, unless the user names another model or the subagent's frontmatter declares its own. If a subagent dispatch fails because its model does not support the subagent's reasoning effort, retry it once with reasoning_effort set to medium.
  5. When new information comes to light, classify it using references/implementation.md: ordinary local judgment, an implementation-only annotation, follow-up-only work outside the active plan, or a plan change that may need a user decision.
    • When completed work creates something a later task needs that the plan does not already name, such as a class, API, contract, utility, fixture, or path, add a Guidance: block immediately after that task's Details: with the concrete pointer. This needs no user decision.
    • Keep the change map current when a plan update adds, merges, splits, renumbers, or removes phases or tasks: update the tags in After, and in Before when the plan has one, and each phase's Changes in the map: line, or, in a plan written with phase diagrams, those diagrams, using existing part IDs. When an update starts to change how parts connect, add a Before anchored to pre-change evidence.
    • When a plan update changes, or completed behavior differs from, a requirement that cites a BRD, PRD, or ADR, add a Business Alignment entry as references/implementation.md defines.
  6. Ask for the smallest decision-critical user input only when available evidence cannot support a responsible user-owned decision. Persist the result in the plan and the changes record. When requirements, scope, architecture, capability, safety, dependencies, or evidence must change, update the affected plan sections under references/implementation.md. A significant or divergent choice needs a user decision first, and affected dependent work pauses until it is recorded; an evidence-backed clarification needs no user question. The confirmed user decision remains authoritative. Do not run a critique from implementation; a follow-up critique runs only when the user asks for one.
  7. Run the checks the task's Requirements: or Details: name and record each result in the changes record as passed, failed, skipped, or unavailable with its reason. Validation alone does not resume paused dependent work.
  8. When declared scope finishes, bring the changes record, blockers, completion markers, remaining work, and validation state current. Report active plan markers outside the scope as remaining work. Report full-plan completion only when the full plan was declared and every marker has completion evidence.
  9. Before handing a full-plan or review-ready scope to Review, reconcile plan markers and task-local context, completed-work entries, handoff prose, blockers, remaining work, follow-up items, and validation state. Compare completed behavior with every cited BRD, PRD, or ADR requirement and add any missing Business Alignment entry.
  10. Return the current implementation result to the caller using the return contract below.

Read the full file on GitHub · 84 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. 9d ago Changed df3ef33451ea
  2. 19d ago Changed · +2 lines 7c000a5d1ed1
  3. 24d ago Changed · +2 lines 16859b597858
  4. 1mo ago Changed · +1 lines 2bd9d13773fa
  5. 1mo ago Changed · -1 lines 107fbfdd1dff
  6. 1mo ago Changed a9b9eced4063
  7. 1mo ago Changed · -5 lines · +12 tokens per session b30526cd4a8e
  8. 2mo ago Changed · +8 lines ba5d9ed8b4aa
  9. 2mo 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 (1,606 stars, last pushed today), licensed MIT. It adds 44 tokens to every session and 2,669 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

rpi-implement compared with skills from other repositories

rpi-implement next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
rpi-implementmicrosoft/hve-coreSkill1.6ktodayMITA44Claude Code
orbit-notionnexu-io/open-designSkill107ktodayApache-2.0A117Claude Code, Codex
agentmailpaperclipai/paperclipSkill112ktodayMITA30Claude Code, Codex
Cortexdanielmiessler/LifeOSSkill20k3d agoMITA184Claude Code
rowboat-spacesrowboatlabs/rowboatSkill18kyesterdayApache-2.0A60Claude Code, Codex
feishuHmbown/CodeWhaleSkill41ktodayMITA33Claude Code, Codex
pinchtab-mcppinchtab/pinchtabSkill11k11d agoMITA52Claude Code, Codex