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 engagement-report-conventionsgit 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/engagement-report-conventions)<a href="https://agentmods.dev/skills/microsoft/hve-core/engagement-report-conventions"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/engagement-report-conventions/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/engagement-report-conventions"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/engagement-report-conventions.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 | $0.00041 | $0.01261 |
| Opus 5.5 | $0.00016 | $0.00504 |
| Sonnet 5.5 | $0.00008 | $0.00252 |
| Haiku 4.5 | $0.00004 | $0.00126 |
Grade A, and why
engagement-report-conventions 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engagement Report Conventions
These rules apply to every engagement report, its sources, its working files, and engagement.yaml.
Style Guide
Rules for formatting, tone, and language in engagement reports.
Voice and Tone
- Use active voice throughout
- State facts confidently; avoid unsupported hedging
- Write for the audience's level: tactical for engineers, outcome-focused for directors, strategic for VPs
- Describe engagement outcomes and decisions, not how the reporting agent found them
Formatting
- Do not add trailing full stops to bullet fragments
- Use semicolons to separate related clauses within a bullet
- Bold module or component names when it improves scanning
- Include dates for all scheduled events
Language
Do Not Use
- "deep dive", "sync up", "circle back", "leverage", "robust", "seamless"
- "&" in prose; write "and"
- Em dashes for parenthetical explanation; use semicolons or separate sentences
- AI patterns such as "I'm happy to help", "Let me know if", and "Here's what I found"
- Research-process phrases such as "primary-source evidence", "available evidence", "the search returned", "the transcript was unavailable", or "requires verification"
- Source-channel narration such as "Teams chat identified", "meeting notes showed", or "an email confirmed" unless the channel itself is materially relevant to the audience
Evidence Separation
Keep source references, coverage gaps, confidence assessments, retrieval
details, and verification notes in .working/ and the agent handoff. In the
report:
- State the supported business outcome directly
- Convert unresolved facts into a blocker, ask, or next step
- Omit unsupported detail rather than explaining the retrieval limitation
- Do not add a Coverage Note, Evidence Note, Research Summary, or source list
Progression
Each update must demonstrate forward movement. Never repeat the same status.
- Bad: "Continuing work on the API integration" (same as last week)
- Good: "API integration reached 95% completion; awaiting schema validation from the customer team"
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 · 156 lines · 41 tokens per session scan A 2971754c19c0
engagement-report-conventions is a skill published in the GitHub repository microsoft/hve-core (1,606 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,261 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.
engagement-report-conventions compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| engagement-report-conventionsmicrosoft/hve-core | Skill | 1.6k | today | MIT | A | 41 | Claude Code |
| orbit-notionnexu-io/open-design | Skill | 107k | today | Apache-2.0 | A | 117 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | yesterday | Apache-2.0 | A | 123 | Claude Code |
| apify-youtube-transcript-scrapersickn33/agentic-awesome-skills | Skill | 49k | 2d ago | MIT | A | 48 | Claude Code |
| legal-holdanthropics/claude-for-legal | Skill | 9.9k | yesterday | Apache-2.0 | A | 68 | Claude Code |
| report-to-pdfasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 17 | Claude Code, Codex |
| artifact-template-minimal-letterheadasgeirtj/system_prompts_leaks | Skill | 71k | today | CC0-1.0 | A | 54 | Claude Code, Codex |