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Dependency Auditor

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seaworld008
dependency-auditor

Audit dependency versions, vulnerabilities, licenses and upgrade risks across package manifests and lockfiles.

Overview

Publisherseaworld008
RepositoryCommonly-used-high-value-skills
Skill namedependency-auditor
Stars
70
Forks
11
Bundled files
14
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 14 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by seaworld008 on GitHub. Read the source before you install it.

Installation

Install the Dependency Auditor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills.git /tmp/Commonly-used-high-value-skills
mkdir -p .claude/skills
cp -r /tmp/Commonly-used-high-value-skills/openclaw-skills/dependency-auditor .claude/skills/dependency-auditor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dependency Auditor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dependency Auditor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dependency Auditor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Dependency Auditor

Skill Type: POWERFUL
Category: Engineering
Domain: Dependency Management & Security

Overview

The Dependency Auditor is a comprehensive toolkit for analyzing, auditing, and managing dependencies across multi-language software projects. This skill provides deep visibility into your project's dependency ecosystem, enabling teams to identify vulnerabilities, ensure license compliance, optimize dependency trees, and plan safe upgrades.

In modern software development, dependencies form complex webs that can introduce significant security, legal, and maintenance risks. A single project might have hundreds of direct and transitive dependencies, each potentially introducing vulnerabilities, license conflicts, or maintenance burden. This skill addresses these challenges through automated analysis and actionable recommendations.

Core Capabilities

1. Vulnerability Scanning & CVE Matching

Comprehensive Security Analysis

  • Scans dependencies against built-in vulnerability databases
  • Matches Common Vulnerabilities and Exposures (CVE) patterns
  • Identifies known security issues across multiple ecosystems
  • Analyzes transitive dependency vulnerabilities
  • Provides CVSS scores and exploit assessments
  • Tracks vulnerability disclosure timelines
  • Maps vulnerabilities to dependency paths

Multi-Language Support

  • JavaScript/Node.js: package.json, package-lock.json, yarn.lock
  • Python: requirements.txt, pyproject.toml, Pipfile.lock, poetry.lock
  • Go: go.mod, go.sum
  • Rust: Cargo.toml, Cargo.lock
  • Ruby: Gemfile, Gemfile.lock
  • Java/Maven: pom.xml, gradle.lockfile
  • PHP: composer.json, composer.lock
  • C#/.NET: packages.config, project.assets.json

2. License Compliance & Legal Risk Assessment

License Classification System

  • Permissive Licenses: MIT, Apache 2.0, BSD (2-clause, 3-clause), ISC
  • Copyleft (Strong): GPL (v2, v3), AGPL (v3)
  • Copyleft (Weak): LGPL (v2.1, v3), MPL (v2.0)
  • Proprietary: Commercial, custom, or restrictive licenses
  • Dual Licensed: Multi-license scenarios and compatibility
  • Unknown/Ambiguous: Missing or unclear licensing

Conflict Detection

  • Identifies incompatible license combinations
  • Warns about GPL contamination in permissive projects
  • Analyzes license inheritance through dependency chains
  • Provides compliance recommendations for distribution
  • Generates legal risk matrices for decision-making

3. Outdated Dependency Detection

Version Analysis

  • Identifies dependencies with available updates
  • Categorizes updates by severity (patch, minor, major)
  • Detects pinned versions that may be outdated
  • Analyzes semantic versioning patterns
  • Identifies floating version specifiers
  • Tracks release frequencies and maintenance status

Maintenance Status Assessment

  • Identifies abandoned or unmaintained packages
  • Analyzes commit frequency and contributor activity
  • Tracks last release dates and security patch availability
  • Identifies packages with known end-of-life dates
  • Assesses upstream maintenance quality

4. Dependency Bloat Analysis

Unused Dependency Detection

  • Identifies dependencies that aren't actually imported/used
  • Analyzes import statements and usage patterns
  • Detects redundant dependencies with overlapping functionality
  • Identifies oversized packages for simple use cases
  • Maps actual vs. declared dependency usage

Redundancy Analysis

  • Identifies multiple packages providing similar functionality
  • Detects version conflicts in transitive dependencies
  • Analyzes bundle size impact of dependencies
  • Identifies opportunities for dependency consolidation
  • Maps dependency overlap and duplication

5. Upgrade Path Planning & Breaking Change Risk

Semantic Versioning Analysis

  • Analyzes semver patterns to predict breaking changes
  • Identifies safe upgrade paths (patch/minor versions)
  • Flags major version updates requiring attention
  • Tracks breaking changes across dependency updates
  • Provides rollback strategies for failed upgrades

Risk Assessment Matrix

  • Low Risk: Patch updates, security fixes
  • Medium Risk: Minor updates with new features
  • High Risk: Major version updates, API changes
  • Critical Risk: Dependencies with known breaking changes

Upgrade Prioritization

  • Security patches: Highest priority
  • Bug fixes: High priority
  • Feature updates: Medium priority
  • Major rewrites: Planned priority
  • Deprecated features: Immediate attention

6. Supply Chain Security

Dependency Provenance

  • Verifies package signatures and checksums
  • Analyzes package download sources and mirrors
  • Identifies suspicious or compromised packages
  • Tracks package ownership changes and maintainer shifts
  • Detects typosquatting and malicious packages

Transitive Risk Analysis

  • Maps complete dependency trees
  • Identifies high-risk transitive dependencies
  • Analyzes dependency depth and complexity
  • Tracks influence of indirect dependencies
  • Provides supply chain risk scoring

7. Lockfile Analysis & Deterministic Builds

Lockfile Validation

  • Ensures lockfiles are up-to-date with manifests
  • Validates integrity hashes and version consistency
  • Identifies drift between environments
  • Analyzes lockfile conflicts and resolution strategies
  • Ensures deterministic, reproducible builds

Environment Consistency

  • Compares dependencies across environments (dev/staging/prod)
  • Identifies version mismatches between team members
  • Validates CI/CD environment consistency
  • Tracks dependency resolution differences

Technical Architecture

Scanner Engine (dep_scanner.py)

  • Multi-format parser supporting 8+ package ecosystems
  • Built-in vulnerability database with 500+ CVE patterns
  • Transitive dependency resolution from lockfiles
  • JSON and human-readable output formats
  • Configurable scanning depth and exclusion patterns

License Analyzer (license_checker.py)

  • License detection from package metadata and files
  • Compatibility matrix with 20+ license types
  • Conflict detection engine with remediation suggestions
  • Risk scoring based on distribution and usage context
  • Export capabilities for legal review

Upgrade Planner (upgrade_planner.py)

  • Semantic version analysis with breaking change prediction
  • Dependency ordering based on risk and interdependence
  • Migration checklists with testing recommendations
  • Rollback procedures for failed upgrades
  • Timeline estimation for upgrade cycles

Use Cases & Applications

Security Teams

  • Vulnerability Management: Continuous scanning for security issues
  • Incident Response: Rapid assessment of vulnerable dependencies
  • Supply Chain Monitoring: Tracking third-party security posture
  • Compliance Reporting: Automated security compliance documentation

Legal & Compliance Teams

  • License Auditing: Comprehensive license compliance verification
  • Risk Assessment: Legal risk analysis for software distribution
  • Due Diligence: Dependency licensing for M&A activities
  • Policy Enforcement: Automated license policy compliance

Development Teams

  • Dependency Hygiene: Regular cleanup of unused dependencies
  • Upgrade Planning: Strategic dependency update scheduling
  • Performance Optimization: Bundle size optimization through dep analysis
  • Technical Debt: Identifying and prioritizing dependency technical debt

DevOps & Platform Teams

  • Build Optimization: Faster builds through dependency optimization
  • Security Automation: Automated vulnerability scanning in CI/CD
  • Environment Consistency: Ensuring consistent dependencies across environments
  • Release Management: Dependency-aware release planning

Integration Patterns

CI/CD Pipeline Integration

bash
# Security gate in CI
python dep_scanner.py /project --format json --fail-on-high
python license_checker.py /project --policy strict --format json

Scheduled Audits

bash
# Weekly dependency audit
./audit_dependencies.sh > weekly_report.html
python upgrade_planner.py deps.json --timeline 30days

Development Workflow

bash
# Pre-commit dependency check
python dep_scanner.py . --quick-scan
python license_checker.py . --warn-conflicts

Advanced Features

Custom Vulnerability Databases

  • Support for internal/proprietary vulnerability feeds
  • Custom CVE pattern definitions
  • Organization-specific risk scoring
  • Integration with enterprise security tools

Policy-Based Scanning

  • Configurable license policies by project type
  • Custom risk thresholds and escalation rules
  • Automated policy enforcement and notifications
  • Exception management for approved violations

Reporting & Dashboards

  • Executive summaries for management
  • Technical reports for development teams
  • Trend analysis and dependency health metrics
  • Integration with project management tools

Multi-Project Analysis

  • Portfolio-level dependency analysis
  • Shared dependency impact analysis
  • Organization-wide license compliance
  • Cross-project vulnerability propagation

Best Practices

Scanning Frequency

  • Security Scans: Daily or on every commit
  • License Audits: Weekly or monthly
  • Upgrade Planning: Monthly or quarterly
  • Full Dependency Audit: Quarterly

Risk Management

  1. Prioritize Security: Address high/critical CVEs immediately
  2. License First: Ensure compliance before functionality
  3. Gradual Updates: Incremental dependency updates
  4. Test Thoroughly: Comprehensive testing after updates
  5. Monitor Continuously: Automated monitoring and alerting

Team Workflows

  1. Security Champions: Designate dependency security owners
  2. Review Process: Mandatory review for new dependencies
  3. Update Cycles: Regular, scheduled dependency updates
  4. Documentation: Maintain dependency rationale and decisions
  5. Training: Regular team education on dependency security

Metrics & KPIs

Security Metrics

  • Mean Time to Patch (MTTP) for vulnerabilities
  • Number of high/critical vulnerabilities
  • Percentage of dependencies with known vulnerabilities
  • Security debt accumulation rate

Compliance Metrics

  • License compliance percentage
  • Number of license conflicts
  • Time to resolve compliance issues
  • Policy violation frequency

Maintenance Metrics

  • Percentage of up-to-date dependencies
  • Average dependency age
  • Number of abandoned dependencies
  • Upgrade success rate

Efficiency Metrics

  • Bundle size reduction percentage
  • Unused dependency elimination rate
  • Build time improvement
  • Developer productivity impact

Troubleshooting Guide

Common Issues

  1. False Positives: Tuning vulnerability detection sensitivity
  2. License Ambiguity: Resolving unclear or multiple licenses
  3. Breaking Changes: Managing major version upgrades
  4. Performance Impact: Optimizing scanning for large codebases

Resolution Strategies

  • Whitelist false positives with documentation
  • Contact maintainers for license clarification
  • Implement feature flags for risky upgrades
  • Use incremental scanning for large projects

Future Enhancements

Planned Features

  • Machine learning for vulnerability prediction
  • Automated dependency update pull requests
  • Integration with container image scanning
  • Real-time dependency monitoring dashboards
  • Natural language policy definition

Ecosystem Expansion

  • Additional language support (Swift, Kotlin, Dart)
  • Container and infrastructure dependencies
  • Development tool and build system dependencies
  • Cloud service and SaaS dependency tracking

Quick Start

bash
# Scan project for vulnerabilities and licenses
python scripts/dep_scanner.py /path/to/project

# Check license compliance
python scripts/license_checker.py /path/to/project --policy strict

# Plan dependency upgrades
python scripts/upgrade_planner.py deps.json --risk-threshold medium

For detailed usage instructions, see README.md.


This skill provides comprehensive dependency management capabilities essential for maintaining secure, compliant, and efficient software projects. Regular use helps teams stay ahead of security threats, maintain legal compliance, and optimize their dependency ecosystems.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dependency Auditor AI skill do?

Audit dependency versions, vulnerabilities, licenses and upgrade risks across package manifests and lockfiles.

Why use Dependency Auditor on TypingMind?

Because you install it once and use it with any model. Dependency Auditor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dependency Auditor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/seaworld008/Commonly-used-high-value-skills/tree/main/openclaw-skills/dependency-auditor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dependency Auditor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dependency Auditor?

As many as you like. As long as a model supports skills, you can use Dependency Auditor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dependency Auditor AI skill free?

Yes. It is published on GitHub by seaworld008 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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