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owasp-llm

owasp-llm is a skill for Claude Code from microsoft/hve-core. It costs 36 tokens per session (664 once invoked), scanned A, original, MIT.

A structured reference for the OWASP Top 10 for LLM Applications, a security checklist for software using large language models. It covers prompt injection, sensitive data exposure, supply-chain risks, poisoned data, unsafe outputs, excessive agency, and other LLM-specific problems.

In plain words
What is it for?
Use it to review LLM application designs and implementations, assess security findings, and plan remediation.
Why use it?
It gives an agent organized guidance for identifying, evaluating, and fixing common security risks in LLM applications.

Skill for Claude Code ✓ vendor

Written for Claude Code: user-invocable in frontmatter.

not rated 1.6krepo +14 today A scan SkillSpector: pass 36 tokens original MIT

Good fit Use it to review LLM application designs and implementations, assess security findings, and plan remediation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/hve-core/owasp-llm
View source ↗ microsoft/hve-core
About the project

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.

microsoft/hve-core · 1,606 stars · on GitHub

Install

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.

Any agent
npx skills add microsoft/hve-core --skill owasp-llm
Clone the repo
git clone --depth 1 https://github.com/microsoft/hve-core

Made for: Claude Code.

Wrote 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.

agentmods badge for owasp-llm

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/hve-core/owasp-llm/github.svg)](https://agentmods.dev/skills/microsoft/hve-core/owasp-llm)
Your own site
<a href="https://agentmods.dev/skills/microsoft/hve-core/owasp-llm"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/owasp-llm/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.

agentmods 80×15 button for owasp-llm

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/hve-core/owasp-llm"><img src="https://agentmods.dev/badge/skills/microsoft/hve-core/owasp-llm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 664 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.00664
Opus 5.5 $0.00014 $0.00266
Sonnet 5.5 $0.00007 $0.00133
Haiku 4.5 $0.00004 $0.00066

Measured 2mo ago against content hash ab0282db1cf2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

owasp-llm 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.

.github/skills/security/owasp-llm/SKILL.md · 54 lines

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® LLM Top 10 — Skill Entry

This SKILL.md is the entrypoint for the OWASP LLM Top 10 skill.

The skill encodes the OWASP Top 10 for LLM Applications (2025) as structured, machine-readable references that an agent can query to identify, assess, and remediate security risks in large language model systems.

Normative references (LLM Top 10)

  1. 00 Vulnerability Index
  2. 01 Prompt Injection
  3. 02 Sensitive Information Disclosure
  4. 03 Supply Chain
  5. 04 Data and Model Poisoning
  6. 05 Improper Output Handling
  7. 06 Excessive Agency
  8. 07 System Prompt Leakage
  9. 08 Vector and Embedding Weaknesses
  10. 09 Misinformation
  11. 10 Unbounded Consumption

Skill layout

  • SKILL.md — this file (skill entrypoint).
  • references/ — the LLM Top 10 normative documents.
    • 00-vulnerability-index.md — index of all vulnerability identifiers, categories, and cross-references.
    • 01 through 10 — one document per vulnerability aligned with OWASP LLM Applications numbering.

Third-Party Attribution

Copyright © OWASP Foundation. OWASP® Top 10 for LLM Applications (2025) 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-llm-applications-2025/ 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.

Read the full file on GitHub · 54 lines

Files

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.

Changes

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.

  1. 2mo ago First seen · 54 lines · 36 tokens per session scan A ab0282db1cf2

Subscribe to this mod's changes

owasp-llm is a skill published in the GitHub repository microsoft/hve-core (1,606 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 664 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.

Data and AISecurity
Related

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owasp-llm next to 6 skills from other repositories
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