skill-auditor

Audit AI agent skills and prompts for safety before deployment.

31|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/Ascend/agent-skills --skill skill-auditor-ascend
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-auditor
Source: https://github.com/Ascend/agent-skills/tree/main/skills/skill-auditor
Command: npx skills add https://github.com/Ascend/agent-skills --skill skill-auditor-ascend

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Vet AI agent skills and prompts before deployment to prevent unsafe capabilities, prompts leakage, and data exposure.

Core Features & Use Cases

  • Structured six-step audit protocol governing safety vetting for agent skills and prompts
  • Metadata validation, typosquat checks, permission analysis, dependency review, and prompt-injection scans
  • Generates an AGENT AUDIT REPORT with verdicts, red flags, and deployment guidance

Quick Start

Run the auditor on a target Skill's SKILL.md to produce an actionable audit report.

Frequently Asked Questions about skill-auditor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I vet AI agent skills for security risks before deployment?

Vetting AI agent skills for security risks involves running a structured audit protocol that checks metadata, permissions, dependencies, and prompt injection vulnerabilities. The auditor generates an AGENT AUDIT REPORT with verdicts, red flags, and deployment guidance.

What is prompt injection scanning and how does it work for AI skills?

Prompt injection scanning for AI skills detects malicious instructions embedded in agent prompts or configurations that could cause unsafe capabilities or data leakage. The auditor enforces a fixed six-step protocol to identify these exfiltration risks.

Can I check AI skill permissions and dependencies for compliance issues?

Checking AI skill permissions and dependencies for compliance issues is a core step in the audit protocol. The auditor analyzes permission scopes and reviews dependencies to identify typosquatting and exfiltration risk before generating deployment guidance.

How do I detect typosquatting in AI agent skill metadata?

Detecting typosquatting in AI agent skill metadata is performed through validation checks during the audit protocol. The auditor examines metadata configurations to flag suspicious naming similarities, preventing the deployment of malicious or unsafe skills.

What are the limitations of automated security auditing for AI prompts?

Limitations of automated security auditing for AI prompts include its fixed six-step protocol scope, focusing strictly on metadata, permissions, dependencies, and prompt injection scans. It generates guidance but requires human review for final deployment decisions.