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 owasp-agenticgit 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/owasp-agentic)<a href="https://agentmods.dev/skills/microsoft/hve-core/owasp-agentic"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/owasp-agentic/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/owasp-agentic"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/owasp-agentic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00683 |
| Opus 5.5 | $0.00012 | $0.00273 |
| Sonnet 5.5 | $0.00006 | $0.00137 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
owasp-agentic 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 2mo 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OWASP® Agentic Top 10 — Skill Entry
This SKILL.md is the entrypoint for the OWASP Agentic Top 10 skill.
The skill encodes the OWASP Top 10 for Agentic Applications (2026) as structured, machine-readable references that an agent can query to identify, assess, and remediate security risks in AI agent systems.
Normative references (Agentic Top 10)
- 00 Vulnerability Index
- 01 Agent Goal Hijack
- 02 Tool Misuse and Exploitation
- 03 Identity and Privilege Abuse
- 04 Agentic Supply Chain Vulnerabilities
- 05 Unexpected Code Execution
- 06 Memory and Context Poisoning
- 07 Insecure Inter-Agent Communication
- 08 Cascading Failures
- 09 Human-Agent Trust Exploitation
- 10 Rogue Agents
Skill layout
SKILL.md— this file (skill entrypoint).references/— the Agentic Top 10 normative documents.00-vulnerability-index.md— index of all vulnerability identifiers, categories, and cross-references.01through10— one document per vulnerability aligned with OWASP Agentic Security numbering.
Third-Party Attribution
Copyright © OWASP Foundation. OWASP® Top 10 for Agentic Applications (2026) content is derived from works by the OWASP Foundation, licensed under CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/). Source: https://genai.owasp.org/resource/owasp-top-10-for-agentic-applications-for-2026/ Modifications: Vulnerability descriptions restructured into agent-consumable reference documents with added detection and remediation guidance. OWASP® is a registered trademark of the OWASP Foundation. Use does not imply endorsement.
What ships with it
11 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.
- references/00-vulnerability-index.md 3.1 KB
- references/01-agent-goal-hijack.md 6.4 KB
- references/02-tool-misuse-and-exploitation.md 6.1 KB
- references/03-identity-and-privilege-abuse.md 6.4 KB
- references/04-agentic-supply-chain-vulnerabilities.md 5.9 KB
- references/05-unexpected-code-execution.md 6.0 KB
- references/06-memory-and-context-poisoning.md 5.8 KB
- references/07-insecure-inter-agent-communication.md 6.4 KB
- references/08-cascading-failures.md 6.4 KB
- references/09-human-agent-trust-exploitation.md 6.5 KB
- references/10-rogue-agents.md 5.9 KB
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.
- 2mo ago First seen · 54 lines · 30 tokens per session scan A 33d4108cdf31
owasp-agentic is a skill published in the GitHub repository microsoft/hve-core (1,606 stars, last pushed today), licensed MIT. It adds 30 tokens to every session and 683 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.
owasp-agentic compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| owasp-agenticmicrosoft/hve-core | Skill | 1.6k | today | MIT | A | 30 | 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 |