rpi-challenger

rpi-challenger is a skill for Claude Code from microsoft/hve-core. It costs 32 tokens per session (1,295 once invoked), scanned A, original, MIT.

A guided questioning workflow for examining a confirmed task, decision, plan, or document before action is taken.

In plain words
What is it for?
Use it to challenge the basis of a proposed change and record the questions, answers, and resulting decisions.
Why use it?
It exposes assumptions, missing evidence, unclear boundaries, and unresolved choices that could cause problems later.

Skill for Claude Code ✓ vendor

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents.

Good fit Use it to challenge the basis of a proposed change and record the questions, answers, and resulting decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/hve-core/rpi-challenger
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-challenger
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-challenger

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/hve-core/rpi-challenger/github.svg)](https://agentmods.dev/skills/microsoft/hve-core/rpi-challenger)
Your own site
<a href="https://agentmods.dev/skills/microsoft/hve-core/rpi-challenger"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/rpi-challenger/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-challenger

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/hve-core/rpi-challenger"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/rpi-challenger.svg" alt="Reviewed on agentmods" width="80" 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 1,295 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 $0.00032 $0.01295
Opus 5.5 $0.00013 $0.00518
Sonnet 5.5 $0.00006 $0.00259
Haiku 4.5 $0.00003 $0.00129

Measured 19d ago against content hash 102f86b5969a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

rpi-challenger 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 19d 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-challenger/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 Challenger

Use references/challenge.md for challenge posture, adaptive questioning guidance, and record-update detail.

Goal

Help the user examine a confirmed subject through adaptive, skeptical questions that surface material assumptions, boundaries, evidence needs, and unresolved decisions without turning the active exchange into a review, solution, or coaching session.

Flow

  1. Form a factual candidate scope from caller-supplied subject, targets, context, and focus. When those inputs are insufficient, inspect only the focused likely targets needed to form a scope, or ask for the smallest missing context.
  2. Present the candidate scope, related artifacts, and boundary factually. Receive user confirmation before asking challenge questions.
  3. Create or resume .copilot-tracking/challenges/{{YYYY-MM-DD}}/{{task_slug}}-challenge.md from templates/challenge-session.md.
  4. Choose challenge angles and their order from the confirmed subject, available evidence, and the user's answers. Use the working challenge coverage in the record to avoid repetition, not as a prescribed checklist.
  5. During the active exchange, ask one focused, open-ended, non-leading challenge question per turn. Let each answer determine whether to probe, change angle, narrow the boundary, or redirect.
  6. Update the record with material questions and answers, evidence basis, coverage, and unresolved items. Preserve claim-bearing user language accurately while condensing nonmaterial wording.
  7. Conclude when the user ends the session or the challenge has saturated. Return the record, coverage, unresolved material, and any advisory next options.

Inputs

  • subject=...: The task, decision, plan, implementation, requirement, or artifact to challenge.
  • artifacts=...: Optional supplied paths or factual context that define the candidate scope.
  • focus=...: Optional boundary or concern that should receive particular attention.
  • task_slug: Lower-kebab-case identifier derived from the confirmed subject.

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. 19d ago Changed · +2 lines 102f86b5969a
  2. 1mo ago Changed 170347309fac
  3. 2mo ago Changed 438b8429790e
  4. 2mo ago First seen · 75 lines · 32 tokens per session scan A a19436147e1b

Subscribe to this mod's changes

rpi-challenger is a skill published in the GitHub repository microsoft/hve-core (1,606 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,295 once invoked, about $0.0001 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-challenger compared with skills from other repositories

rpi-challenger next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
rpi-challengermicrosoft/hve-coreSkill1.6ktodayMITA32Claude Code
systematic-debuggingopen-metadata/OpenMetadataSkill16ktodayApache-2.0A37Claude Code
log-error-digestzebbern/claude-code-guideSkill4.7kyesterdayMITA71Claude Code, Codex
cwv-optimizeradobe/skillsSkill321todayApache-2.0A112Claude Code
ci-fixersipyourdrink-ltd/bernsteinSkill1.2ktodayApache-2.0A15Claude Code, Codex
incident-response-incident-responsermyndharis/antigravity-skillsSkill2.0kyesterdayMITA36Claude Code, Codex
diagnosing-missing-recordingsPostHog/posthogSkill41ktodaynoneA76Claude Code, Codex