audit-skills
Audits AI skills for malicious patterns, data leaks, or security risks.
What it does
This tool checks if other AI programs (called 'skills') are safe. It looks for malicious code, data leaks, or issues that could crash the system, without running the code.
When to use it
- ✓When you suspect an AI program might be unsafe.
- ✓When checking the security of programs that work on different systems (Windows, Mac, mobile).
- ✓If you want to be sure an AI program is trustworthy.
Example of what to ask your AI
“Check the security of this AI program.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool analyzes the AI program's code without executing it. It searches for code patterns that might be dangerous, like attempts to steal information or crash the system.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill audit-skillsOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/skills/audit-skills/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Audit Skills (Premium Universal Security)
Overview
Expert security auditor for AI Skills and Bundles. Performs non-intrusive static analysis to identify malicious patterns, data leaks, system stability risks, and obfuscated payloads across Windows, macOS, Linux/Unix, and Mobile (Android/iOS). 2-4 sentences is perfect.
When to Use This Skill
- Use when you need to audit AI skills and bundles for security vulnerabilities
- Use when working with cross-platform security analysis
- Use when the user asks about verifying skill legitimacy or performing security reviews
- Use when scanning for mobile threats in AI skills
How It Works
Step 1: Static Analysis
Performs non-intrusive static analysis to identify malicious patterns, data leaks, system stability risks, and obfuscated payloads.
Step 2: Platform-Specific Threat Detection
Analyzes code for platform-specific security issues across Windows, macOS, Linux/Unix, and Mobile (Android/iOS).
1. Privilege, Ownership & Metadata Manipulation
- Elevated Access:
sudo,chown,chmod,TakeOwnership,icacls,Set-ExecutionPolicy. - Metadata Tampering:
touch -t,setfile(macOS),attrib(Windows),Set-ItemProperty,chflags. - Risk: Unauthorized access, masking activity, or making files immutable.
2. File/Folder Locking & Resource Denial
- Patterns:
chmod 000,chattr +i(immutable),attrib +r +s +h,DenyACEs inicacls. - Global Actions: Locking or hiding folders in
%USERPROFILE%,/Users/, or/etc/. - Risk: Denial of service or data locking.
3. Script Execution & Batch Invocation
- Legacy/Batch Windows:
.bat,.cmd,cmd.exe /c,vbs,cscript,wscript. - Unix Shell:
.sh,.bash,.zsh,chmod +xfollowed by execution. - PowerShell:
.ps1,powershell -ExecutionPolicy Bypass -File .... - Hidden Flags:
-WindowStyle Hidden,-w hidden,-noprofile.
4. Dangerous Install/Uninstall & System Changes
- Windows:
msiexec /qn,choco uninstall,reg delete. - Linux/Unix:
apt-get purge,yum remove,rm -rf /usr/bin/.... - macOS:
brew uninstall, deleting from/Applications. - Risk: Removing security software or creating unmonitored installation paths.
5. Mobile Application & OS Security (Android/iOS)
- Android Tools:
adb shell,pm install,am start,apktool,dex2jar,keytool. - Android Files: Manipulation of
AndroidManifest.xml(permissions),classes.dex, orstrings.xml. - iOS Tools:
xcodebuild,codesign,security find-identity,fastlane,xcrun. - iOS Files: Manipulation of
Info.plist,Entitlements.plist, orProvisioning Profiles. - Mobile Patterns: Jailbreak/Root detection bypasses, hardcoded API keys in mobile source, or sensitive permission requests (Camera, GPS, Contacts) in non-mobile skills.
- Risk: Malicious mobile package injection, credential theft from mobile builds, or device manipulation via ADB.
6. Information Disclosure & Network Exfiltration
- Patterns:
curl,wget,Invoke-WebRequest,Invoke-RestMethod,scp,ftp,nc,socat. - Sensible Data:
.env,.ssh,cookies.sqlite,Keychains(macOS),Credentials(Windows),keystore(Android). - Intranet: Scanning internal IPs or mapping local services.
7. Service, Process & Stability Manipulation
- Windows:
Stop-Service,taskkill /f,sc.exe delete. - Unix/Mac:
kill -9,pkill,systemctl disable/stop,launchctl unload. - Low-level: Direct disk access (
dd), firmware/BIOS calls, kernel module management.
8. Obfuscation & Persistence
- Encoding:
Base64,Hex,XORloops,atob(). - Persistence:
reg add(Run keys),schtasks,crontab,launchctl(macOS),systemdunits. - Remote script piping: network fetch commands that stream directly into a shell or PowerShell evaluator.
9. Legitimacy & Scope (Universal)
- Registry Alignment: Cross-reference with
CATALOG.md. - Structural Integrity: Does it follow the standard repo layout?
- Healthy Scope: Does a "UI Design" skill need
adb shellorsudo?
Step 3: Reporting
Generates a security report with a score (0-10), platform target identification, flagged actions, threat analysis, and mitigation recommendations.
Examples
Example 1: Security Review
"Perform a security audit on this skill bundle"
…
FAQ
What is 'static analysis'?
It's like reading a book to understand the story without having to live through it. The tool reads the program's code to find problems, without running the program.
Can it find all types of viruses?
It's good at finding code patterns that indicate known security issues, but it's not a guarantee against all new or unknown threats.
Does it modify the programs I ask it to check?
No, the tool only reads the code for analysis. It does not run or change the programs.
Details
Original description by the author
Expert security auditor for AI Skills and Bundles. Performs non-intrusive static analysis to identify malicious patterns, data leaks, system stability risks, and obfuscated payloads across Windows, macOS, Linux/Unix, and Mobile (Android/iOS).
Popularity
- GitHub stars
- 48k
- Ranking position
- #4641
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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