Common Llm Security

Community

HoangNguyen0403

common-llm-security

OWASP LLM Top 10 (2025) audit checklist for AI applications, agent tools, RAG pipelines, and prompt construction. Use when performing any security review touching LLM client code, prompt templates, agent tools, or vector stores.

Overview

Publisher	HoangNguyen0403
Repository	`agent-skills-standard`
Skill name	`common-llm-security`
Stars	569
Forks	164
Bundled files	2
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

Install the Common Llm Security AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/common/common-llm-security

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/skills/common/common-llm-security .claude/skills/common-llm-security

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Common Llm Security in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Common Llm Security on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Common Llm Security is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

OWASP LLM Top 10 Security Checklist (2025)

Priority: P0 (CRITICAL)

Implementation Guidelines

Check LLM01 first: Prompt injection #1 LLM finding — any user input concatenated directly into prompt string immediate P0.
Check LLM06 next: Agent tools with write/delete/execute capabilities without confirmation P0.
Mark each item: ✅ not affected | ⚠️ needs review | 🔴 confirmed finding.
P0 finding caps Security score at 40/100 — not skip any item.
See references/owasp-llm.md for full detection signals.

OWASP LLM Top 10 (2025)

ID	Risk	Key Detection Signal
LLM01	Prompt Injection	User input string-concatenated into prompt. Retrieved docs inserted into system turn.
LLM02	Sensitive Information Disclosure	PII or credentials passed into prompt context. LLM response logged without redaction.
LLM03	Supply Chain	Unverified model weights or plugins. Third-party agent added without trust review.
LLM04	Data & Model Poisoning	User-controlled data written to training sets or embedding stores without validation.
LLM05	Improper Output Handling	LLM output used directly in DOM sink, SQL query, shell command, or redirect URL.
LLM06	Excessive Agency	Agent tool with write/delete/network access — no human-in--loop confirmation.
LLM07	System Prompt Leakage	System prompt content returned via tool output, error message, or API response.
LLM08	Vector & Embedding Weaknesses	User text injected into vector store without sanitization. No tenant namespace isolation.
LLM09	Misinformation	LLM output used for critical decisions (medical, financial, legal) without verification.
LLM10	Unbounded Consumption	No `max_tokens` on LLM call. No rate limit on invocations. Agent loop without depth cap.

Anti-Patterns

No prompt concat: Pass user input as separate user turn, never interpolated into system prompts.
No raw LLM output in sinks: Sanitize LLM responses before writing to DOM, queries, or shell.
No uncapped agent loops: Every agentic recursion must enforce max iteration/depth limit.

References

OWASP LLM — Full Detection Signals — load when auditing any LLM client code

Canonical response anchors

When this skill applies, preserve the following domain terminology or equivalent concrete examples in the answer when relevant:

sanitize

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

evals/evals.json2 KB
references/owasp-llm.md5 KB

Frequently asked questions

What does the Common Llm Security AI skill do?

Why use Common Llm Security on TypingMind?

Because you install it once and use it with any model. Common Llm Security is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Common Llm Security in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/common/common-llm-security. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Common Llm Security?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Common Llm Security?

As many as you like. As long as a model supports skills, you can use Common Llm Security with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Common Llm Security AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

OWASP LLM Top 10 Security Checklist (2025)

Priority: P0 (CRITICAL)

Implementation Guidelines

OWASP LLM Top 10 (2025)

Anti-Patterns

References

Canonical response anchors

Bundled files

Frequently asked questions

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