Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyzes multi-language project dependencies to identify vulnerabilities, license risks, outdated packages, unused libraries, and plans safe upgrade paths.
Analyzes multi-language project dependencies to identify vulnerabilities, license risks, outdated packages, unused libraries, and plans safe upgrade paths.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Skill Type: POWERFUL Category: Engineering Domain: Dependency Management & Security
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.
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
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
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
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
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
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
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
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 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
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
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
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
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
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
# Security gate in CI python dep_scanner.py /project --format json --fail-on-high python license_checker.py /project --policy strict --format json
# Weekly dependency audit ./audit_dependencies.sh > weekly_report.html python upgrade_planner.py deps.json --timeline 30days
# Pre-commit dependency check python dep_scanner.py . --quick-scan python license_checker.py . --warn-conflicts
Support for internal/proprietary vulnerability feeds Custom CVE pattern definitions Organization-specific risk scoring Integration with enterprise security tools
Configurable license policies by project type Custom risk thresholds and escalation rules Automated policy enforcement and notifications Exception management for approved violations
Executive summaries for management Technical reports for development teams Trend analysis and dependency health metrics Integration with project management tools
Portfolio-level dependency analysis Shared dependency impact analysis Organization-wide license compliance Cross-project vulnerability propagation
Security Scans: Daily or on every commit License Audits: Weekly or monthly Upgrade Planning: Monthly or quarterly Full Dependency Audit: Quarterly
Prioritize Security: Address high/critical CVEs immediately License First: Ensure compliance before functionality Gradual Updates: Incremental dependency updates Test Thoroughly: Comprehensive testing after updates Monitor Continuously: Automated monitoring and alerting
Security Champions: Designate dependency security owners Review Process: Mandatory review for new dependencies Update Cycles: Regular, scheduled dependency updates Documentation: Maintain dependency rationale and decisions Training: Regular team education on dependency security
Mean Time to Patch (MTTP) for vulnerabilities Number of high/critical vulnerabilities Percentage of dependencies with known vulnerabilities Security debt accumulation rate
License compliance percentage Number of license conflicts Time to resolve compliance issues Policy violation frequency
Percentage of up-to-date dependencies Average dependency age Number of abandoned dependencies Upgrade success rate
Bundle size reduction percentage Unused dependency elimination rate Build time improvement Developer productivity impact
False Positives: Tuning vulnerability detection sensitivity License Ambiguity: Resolving unclear or multiple licenses Breaking Changes: Managing major version upgrades Performance Impact: Optimizing scanning for large codebases
Whitelist false positives with documentation Contact maintainers for license clarification Implement feature flags for risky upgrades Use incremental scanning for large projects
Machine learning for vulnerability prediction Automated dependency update pull requests Integration with container image scanning Real-time dependency monitoring dashboards Natural language policy definition
Additional language support (Swift, Kotlin, Dart) Container and infrastructure dependencies Development tool and build system dependencies Cloud service and SaaS dependency tracking
# 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.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.