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.
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.
npx agentmods add skills/microsoft/hve-core/rai-plannernpx skills add microsoft/hve-core --skill rai-plannergit clone --depth 1 https://github.com/microsoft/hve-coreWrote 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.
[](https://agentmods.dev/skills/microsoft/hve-core/rai-planner)<a href="https://agentmods.dev/skills/microsoft/hve-core/rai-planner"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/rai-planner.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00039 | $0.00400 |
| Opus 5 | $0.00019 | $0.00200 |
| Sonnet 5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
rai-planner 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 5d 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.
What it actually says
RAI Planner
Overview
Use this skill as an on-demand reference pack for the RAI Planner. The main skill body stays compact, and the detailed phase guidance lives in the reference files under this folder so the agent can load only the material needed for the current phase.
Phase Reference Index
- Phase 1 — Capture and scoping: capture-coaching.md — read this when entering Phase 1 and again during capture turns when you need the exploration-first questioning techniques.
- Phase 2 — Risk classification: risk-classification.md — read this when entering Phase 2 to apply the prohibited-use gate, indicator assessment, and depth-tier logic.
- Phase 5 — Impact assessment: impact-assessment.md — read this when entering Phase 5 to build the evidence register, tradeoff log, and work-item seeds.
- Phase 6 — Review rubric and backlog handoff: backlog-handoff.md — read this when entering Phase 6 to run the review rubric and generate the final handoff summary.
Usage Notes
- Load these references on demand at phase boundaries rather than as fixed startup context.
- Use the referenced file that matches the phase you are about to enter or the section you need to re-open during execution.
- Keep the detailed rubric, templates, and evidence guidance in the reference files rather than in the main skill body.
What ships with it
5 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.
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.
- 5d ago First seen · 30 lines · 39 tokens per session scan A da444056072d
rai-planner is a skill published in the GitHub repository microsoft/hve-core (1,431 stars, last pushed today), licensed MIT. It adds 39 tokens to every session and 400 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 2026-08-30.
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