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 skills add microsoft/hve-core --skill disclaimer-languagegit 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/disclaimer-language)<a href="https://agentmods.dev/skills/microsoft/hve-core/disclaimer-language"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/disclaimer-language/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.
<a href="https://agentmods.dev/skills/microsoft/hve-core/disclaimer-language"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/disclaimer-language.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00047 | $0.02511 |
| Opus 5.5 | $0.00019 | $0.01004 |
| Sonnet 5.5 | $0.00009 | $0.00502 |
| Haiku 4.5 | $0.00005 | $0.00251 |
Grade A, and why
disclaimer-language 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Disclaimer Language
Planning and review agents display a CAUTION disclaimer at startup or when presenting findings. Each H2 section below is the verbatim disclaimer for one planner or review family and is loaded by its consuming artifact before use.
- The slug derives: planner key
{slug}-planner; disclaimer id{slug}-full-disclaimer; disclaimer label{heading} Disclaimer. - Each H2 must contain exactly one
> [!CAUTION]blockquote; only the first is extracted. - The CAUTION prose should begin with
**Disclaimer:**(trailing colon optional); the prefix is stripped before matching against artifact footers. - Multi-line blockquote prose is joined with single spaces. -->
RAI Planning
[!CAUTION] Disclaimer: This agent is an assistive tool only. It does not provide legal, regulatory, or compliance advice and does not replace Responsible AI review boards, ethics committees, legal counsel, compliance teams, or other qualified human reviewers. The output consists of suggested actions and considerations to support a user's own internal review and decision‑making. All RAI assessments, risk classification screenings, security models, and mitigation recommendations generated by this tool must be independently reviewed and validated by appropriate legal and compliance reviewers before use. Outputs from this tool do not constitute legal approval, compliance certification, or regulatory sign‑off.
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.
- yesterday First seen · 103 lines · 47 tokens per session scan A 5439dc5b0ad9
disclaimer-language is a skill published in the GitHub repository microsoft/hve-core (1,606 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 2,511 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 2026-11-07.
disclaimer-language compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| disclaimer-languagemicrosoft/hve-core | Skill | 1.6k | today | MIT | A | 47 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |