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 python-foundationalgit 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/python-foundational)<a href="https://agentmods.dev/skills/microsoft/hve-core/python-foundational"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/python-foundational/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/python-foundational"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/python-foundational.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 81 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 88 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 96 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00017 | $0.01238 |
| Opus 5.5 | $0.00007 | $0.00495 |
| Sonnet 5.5 | $0.00003 | $0.00248 |
| Haiku 4.5 | $0.00002 | $0.00124 |
Grade A, and why
python-foundational 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Foundational Coding Standards Skill
Overview
Foundational Python excellence that every diff must satisfy. This skill is loaded first for any .py change. All higher-order skills build on it.
This content is a skill rather than an instructions file for three reasons: skills are distributed through the CLI plugin and VS Code extension without requiring consumers to copy files into their repo; new language skills can be added without modifying the review agent itself; and skills are loaded on demand, keeping the context window small when the diff contains no Python.
Core Checklist
1. Readability & Style
- Use Python naming:
PascalCaseclasses,snake_casefunctions/variables,UPPER_SNAKE_CASEconstants,_private members. - Group imports: stdlib → third-party → local (blank line between groups, no trailing whitespace).
2. Pythonic Idioms
- Prefer comprehensions for simple transforms; use explicit loops for complex logic/side-effects.
- Always use
withfor files, locks, DB connections. - Prefer
dataclass/NamedTuple/Enumfor data holders. - Use
pathliboveros.path; timezone-awaredatetimewhen relevant. - Use
*keyword-only arguments for multi-optional functions. - Never use mutable defaults or
global/nonlocalunless strictly required.
3. Function & Class Design
- Keep functions small and single-responsibility.
- Add docstrings to all public APIs (follow repo style).
- Document unavoidable side-effects.
- Follow codebase’s class-member ordering (if defined).
4. Type Safety Foundations
- Add type hints to all public APIs, module vars, and class attributes.
- Use PEP 695 (3.12+) or
TypeVarfor generics. - Avoid
Anyexcept in thin wrappers.
5. Error Handling
- Raise specific exceptions; never bare
except:(broadexcept Exception:only at app boundaries with logging). - No silent failures or generic error messages.
- Provide context, expected state, and guidance in every exception.
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.
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.
- 1mo ago First seen · 111 lines · 17 tokens per session scan A eab08a2ecc39
python-foundational is a skill published in the GitHub repository microsoft/hve-core (1,529 stars, last pushed today), licensed MIT. It adds 17 tokens to every session and 1,238 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 2026-08-30.
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