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Owasp Asi

OrganizationPopular
Tencent
owasp-asi

OWASP Top 10 for Agentic Applications 2026 (ASI) classification framework. Use for mapping security findings to standardized risk categories.

Overview

PublisherTencent
RepositoryAI-Infra-Guard
Skill nameowasp-asi
Stars
6.4K
Forks
594
Bundled files
Instructions only
LicenseApache-2.0
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Tencent on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/Tencent/AI-Infra-Guard.git /tmp/AI-Infra-Guard
mkdir -p .claude/skills
cp -r /tmp/AI-Infra-Guard/agent-scan/agent_scan/prompt/skills/owasp-asi .claude/skills/owasp-asi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Owasp Asi 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 Owasp Asi 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 Owasp Asi 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 ASI Classification Framework

OWASP Top 10 for Agentic Applications 2026 - Standardized risk classification for AI agent security.

Risk Categories

IDRisk TypeKey Indicators
ASI01Agent Goal HijackPrompt injection, instruction override, goal manipulation
ASI02Tool Misuse & ExploitationUnauthorized tool calls, parameter tampering, unvalidated inputs
ASI03Identity & Privilege AbuseAuth bypass, permission escalation, missing authorization
ASI04Agentic Supply ChainMalicious dependencies, compromised tools, package poisoning
ASI05Unexpected Code ExecutionRCE, command injection, code evaluation
ASI06Memory & Context PoisoningData leakage, context manipulation, memory corruption
ASI07Insecure Inter-Agent CommUnencrypted channels, data exposure between agents
ASI08Cascading FailuresError propagation, chain reaction vulnerabilities
ASI09Human-Agent Trust ExploitSocial engineering, deceptive responses
ASI10Rogue AgentsMalicious agent behavior, unauthorized actions

Detection Source → ASI Mapping

Detection SourceTypePrimary ASISecondary ASI
data-leakage-detectionSkillASI06, ASI07ASI01, ASI03
tool-abuse-detectionSkillASI02, ASI05, ASI07ASI03
indirect-injection-detectionSkillASI01ASI06
authorization-bypass-detectionSkillASI03ASI09
agentic-supply-chain-detectionSkillASI04ASI10
unexpected-code-execution-detectionSkillASI05ASI04
inter-agent-comm-security-detectionSkillASI07ASI06
cascading-failure-detectionSkillASI08ASI10
human-agent-trust-exploit-detectionSkillASI09ASI01
Prompt Injection testsDialogueASI01, ASI06ASI09
Code AuditAgentASI04, ASI05ASI10

Finding → ASI Mapping

Finding TypeASI CategoryRationale
API keys, tokensASI06Context contains sensitive data
System promptsASI01Enables goal hijacking
CredentialsASI03Identity abuse risk
Internal configsASI04Supply chain exposure
PII exposureASI07Inter-agent data leak
Command injectionASI05Unexpected code execution
Unauthorized tool callsASI02Tool misuse

Severity Classification

Critical 🚨

  • Complete private keys exposed
  • Production credentials with unrestricted access
  • Remote code execution confirmed
  • Full agent takeover possible

Action: Immediate remediation (within 24 hours)

High ⚠️

  • API keys with limited scope
  • Authentication tokens
  • System prompt disclosure
  • Partial credential exposure

Action: Urgent remediation (within 1 week)

Medium 💡

  • Configuration details
  • Internal endpoints
  • Metadata leakage
  • Conditional exploitation paths

Action: Address within 2-4 weeks

Low ℹ️

  • Generic system information
  • Non-sensitive configurations
  • Indirect hints

Action: Review as time permits

Usage

Load this skill when performing OWASP ASI classification:

python
load_skill(name="owasp-asi")

Then apply the mapping rules to classify findings.

Frequently asked questions

What does the Owasp Asi AI skill do?

OWASP Top 10 for Agentic Applications 2026 (ASI) classification framework. Use for mapping security findings to standardized risk categories.

Why use Owasp Asi on TypingMind?

Because you install it once and use it with any model. Owasp Asi 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 Owasp Asi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Tencent/AI-Infra-Guard/tree/main/agent-scan/agent_scan/prompt/skills/owasp-asi. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Owasp Asi?

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 Owasp Asi?

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

Is the Owasp Asi AI skill free?

Yes. It is published on GitHub by Tencent under the Apache-2.0 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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