Codebase Cleanup Deps Audit
You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues,...
mkdir -p ./skills/codebase-cleanup-deps-audit && curl -sfL https://raw.githubusercontent.com/mayurrathi/awesome-agent-skills/main/skills/codebase-cleanup-deps-audit/SKILL.md -o ./skills/codebase-cleanup-deps-audit/SKILL.mdRun in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).
Skill Content
# Dependency Audit and Security Analysis
You are a dependency security expert specializing in vulnerability scanning, license compliance, and supply chain security. Analyze project dependencies for known vulnerabilities, licensing issues, outdated packages, and provide actionable remediation strategies.
Use this skill when
- Auditing dependencies for vulnerabilities
- Checking license compliance or supply-chain risks
- Identifying outdated packages and upgrade paths
- Preparing security reports or remediation plans
Do not use this skill when
- The project has no dependency manifests
- You cannot change or update dependencies
- The task is unrelated to dependency management
Context
The user needs comprehensive dependency analysis to identify security vulnerabilities, licensing conflicts, and maintenance risks in their project dependencies. Focus on actionable insights with automated fixes where possible.
Requirements
$ARGUMENTS
Instructions
- Inventory direct and transitive dependencies.
- Run vulnerability and license scans.
- Prioritize fixes by severity and exposure.
- Propose upgrades with compatibility notes.
- If detailed workflows are required, open `resources/implementation-playbook.md`.
Safety
- Do not publish sensitive vulnerability details to public channels.
- Verify upgrades in staging before production rollout.
Output Format
- Dependency summary and risk overview
- Vulnerabilities and license issues
- Recommended upgrades and mitigations
- Assumptions and follow-up tasks
Resources
- `resources/implementation-playbook.md` for detailed tooling and templates.
🎯 Best For
- Security auditors
- DevSecOps teams
- Compliance officers
- Data analysts
- Business intelligence teams
💡 Use Cases
- Auditing dependencies for known CVEs
- Scanning API endpoints for auth gaps
- Finding patterns in customer data
- Creating automated dashboards
📖 How to Use This Skill
- 1
Install the Skill
Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.
- 2
Load into Your AI Assistant
Open Claude and reference the skill. Paste the SKILL.md content or use the system prompt tab.
- 3
Apply Codebase Cleanup Deps Audit to Your Work
Open your project in the AI assistant and ask it to apply the skill. Start with a small module to verify the output quality.
- 4
Review and Refine
Review AI suggestions before committing. Run tests, check for regressions, and iterate on the skill output.
❓ Frequently Asked Questions
Can this replace a dedicated SAST tool?
AI-based security review is complementary to SAST tools. Use it as a first-pass filter, not a replacement.
Can this connect to my database directly?
Most data skills accept CSV or JSON input. Database connectors are listed in the Works With section.
Is Codebase Cleanup Deps Audit compatible with Cursor and VS Code?
Yes — this skill works with any AI coding assistant including Cursor, VS Code with Copilot, and JetBrains IDEs.
Do I need specific dependencies for Codebase Cleanup Deps Audit?
Check the install command and Works With section. Most code skills only require the AI assistant and your codebase.
How do I install Codebase Cleanup Deps Audit?
Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/codebase-cleanup-deps-audit/SKILL.md, ready to use.
⚠️ Common Mistakes to Avoid
Only scanning surface-level issues
Deep security review requires understanding your app architecture, not just regex patterns.
Not validating data quality
AI analysis is only as good as your input data. Profile and clean data before analysis.
Skipping validation
Always test AI-generated code changes, even for simple refactors.
Missing dependency updates
Check if the skill requires updated dependencies or new packages.