AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The owasp-llm skill provides a machine-readable implementation of the OWASP Top 10 for LLM Applications (2025). It serves as a comprehensive reference for developers and security professionals to understand, detect, and mitigate vulnerabilities inherent in large language model systems. Each of the ten identified risks is documented with detailed descriptions, risk assessments, vulnerability checklists, and actionable prevention and remediation strategies.
What it does
- Provides a structured index of the 2025 OWASP LLM Top 10 vulnerabilities.
- Offers detailed breakdowns for each vulnerability, including risk impact and attack scenarios.
- Includes specific vulnerability checklists to help identify system exposure.
- Supplies defensive measures and remediation guidance for each security risk.
- Categorizes risks into logical groups like Input Integrity, Data Protection, and Access Control.
When to use it
- During the design phase of an LLM-integrated application to implement security by design.
- When performing a security audit or risk assessment of an existing LLM system.
- To train development teams on common LLM-specific security threats.
- When developing remediation plans for identified security vulnerabilities in AI workflows.
Advantages
- Standardized, industry-recognized framework for LLM security.
- Machine-readable format suitable for integration into automated security agents.
- Covers both direct and indirect attack vectors, including multimodal risks.
- Provides clear, actionable steps for both detection and long-term remediation.
Usage examples
- “What are the primary risks associated with Prompt Injection according to the OWASP LLM Top 10?”
- The agent retrieves the LLM01:2025 documentation, detailing direct and indirect injection risks, potential consequences like data exfiltration, and a checklist for identifying exposure.
- “How can I prevent Excessive Agency in my LLM agent?”
- The agent references LLM06:2025, providing guidance on enforcing least privilege, implementing human-in-the-loop requirements for high-risk actions, and defining strict capability boundaries.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/microsoft/owasp-llm/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip owasp-llm.zip -d .agents/skills
Documentation by Microsoft
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)
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.01through10— 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.
Files
- ATTRIBUTION.mdAdded by AutoGineer973 B
- LICENSEAdded by AutoGineer17.9 KiB
- SKILL.md2.5 KiB
- references/00-vulnerability-index.md3.0 KiB
- references/01-prompt-injection.md8.4 KiB
- references/02-sensitive-information-disclosure.md6.8 KiB
- references/03-supply-chain.md6.9 KiB
- references/04-data-and-model-poisoning.md8.0 KiB
- references/05-improper-output-handling.md7.6 KiB
- references/06-excessive-agency.md6.4 KiB
- references/07-system-prompt-leakage.md5.8 KiB
- references/08-vector-and-embedding-weaknesses.md6.2 KiB
- references/09-misinformation.md6.9 KiB
- references/10-unbounded-consumption.md7.4 KiB
Requirements and compatibility
Written for: GitHub Copilot, Claude Code
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Claude Code frontmatter
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Published by
- Microsoft
- Publisher
- Microsoft (Official)
- Source
- microsoft/hve-core · .github/skills/security/owasp-llm · commit f425e94
- Licence
- Creative Commons Attribution-ShareAlike 4.0 International (redistribution allowed)
- LICENSE (written by AutoGineer)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Microsoft.
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download owasp-llm.zip