Dependency Auditor

A multi-language toolkit for analyzing, auditing, and managing dependencies. It scans manifests and lockfiles across 8+ ecosystems to surface vulnerabilities, classify licenses, detect bloat, and produce safe, phased upgrade plans — giving teams visibility into security, legal, and maintenance risk hidden in their dependency trees.

Core Capabilities

• Vulnerability scanning & CVE matching — match direct/transitive deps against a built-in CVE database with CVSS scoring across Node, Python, Go, Rust, Ruby, Java, PHP, .NET.
• License compliance — classify into permissive / weak-copyleft / strong-copyleft / proprietary / unknown tiers and detect incompatible combinations (e.g. GPL contamination).
• Outdated & maintenance detection — categorize updates by patch/minor/major severity; flag abandoned or end-of-life packages.
• Dependency bloat analysis — find unused, redundant, or oversized packages and consolidation opportunities.
• Upgrade path planning — semver breaking-change prediction, risk matrix, prioritization, rollback strategies.
• Supply chain security — provenance checks, typosquatting/malicious-package detection, transitive risk scoring.
• Lockfile analysis — validate freshness, integrity hashes, and cross-environment consistency for deterministic builds.

When to Use

• Auditing a project's dependencies for vulnerabilities or supply-chain risk.
• Checking license compliance before distribution or M&A due diligence.
• Planning safe, phased dependency upgrades.
• Adding a dependency security gate to CI/CD.
• Cleaning up unused or redundant dependencies.

Clarify First

Before running the audit, confirm these inputs. If any is unknown or vague, ASK — do not assume:

• Project & ecosystem — the project path and which manifests/lockfiles (the input the scanner parses)
• Audit focus — vulnerabilities, license compliance, or upgrade planning (selects dep_scanner.py vs license_checker.py vs upgrade_planner.py)
• Policy & gate — license policy strictness and fail-on-severity threshold (sets --policy, --fail-on-high, and the CI verdict)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

Tool	Purpose	Command
dep_scanner.py	Scan manifests/lockfiles across 8+ ecosystems, match CVEs, produce a security report	python scripts/dep_scanner.py /path/to/project --format json --fail-on-high
license_checker.py	Classify dependency licenses by risk tier and detect conflicts vs the project license	python scripts/license_checker.py /path/to/project --policy strict --warn-conflicts
upgrade_planner.py	Evaluate semver gaps, assess breaking-change risk, output a phased upgrade plan	python scripts/upgrade_planner.py deps.json --risk-threshold medium --timeline 30

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

• references/capabilities-and-best-practices.md — full breakdown of every analysis capability, the scanner/analyzer/planner internals, use cases by team, advanced/enterprise features, recommended scan cadences, and metrics/KPIs. Read when you need the deep capability or architecture detail.
• references/tools-integration-and-troubleshooting.md — quick-start and CI/CD/scheduled-audit integration commands, complete per-tool flag/output reference, the troubleshooting table, and success-criteria targets. Read when running the tools, wiring them into pipelines, or diagnosing failures.
• references/vulnerability_assessment_guide.md — how to assess, prioritize, and remediate dependency vulnerabilities (CVSS, exploitability, disclosure timelines). Read when triaging or responding to security findings.
• references/license_compatibility_matrix.md — comprehensive license-type reference and compatibility matrix for combining open-source dependencies. Read when resolving license conflicts or making distribution decisions.
• references/dependency_management_best_practices.md — strategic, governance, security, and operational best practices across the dependency lifecycle. Read when establishing dependency policy or team workflows.

Scope & Limitations

This skill covers:

• Parsing dependency manifests and lockfiles for JavaScript/Node.js, Python, Go, Rust, Ruby, Java, PHP, and C#/.NET ecosystems.
• Matching dependencies against a built-in vulnerability database of common CVE patterns with severity scoring.
• Classifying licenses into risk tiers (permissive, weak copyleft, strong copyleft, proprietary, unknown) and detecting conflicts.
• Generating prioritized, phased upgrade plans with breaking-change analysis, rollback procedures, and time estimates.

This skill does NOT cover:

• Real-time querying of live vulnerability databases (NVD, OSV, GitHub Advisory); the built-in DB is a representative subset. For continuous monitoring, see skill-security-auditor.
• Container image or OS-level package scanning. For infrastructure auditing, see ci-cd-pipeline-builder or observability-designer.
• Automated PR creation for dependency updates (Dependabot/Renovate-style); the skill produces plans and reports, not code changes.
• Runtime dependency analysis or dynamic import tracing; detection is static manifest/lockfile parsing only.

Integration Points

Skill	Integration	Data Flow
skill-security-auditor	Feed vulnerability scan results into broader security audit workflows	dep_scanner.py --format json output consumed as evidence artifacts
ci-cd-pipeline-builder	Embed dependency gates in CI/CD pipelines	dep_scanner.py --fail-on-high and license_checker.py --policy strict as pipeline steps
release-manager	Attach dependency audit reports to release checklists	JSON reports from all three tools included in release documentation
pr-review-expert	Flag dependency changes during pull request review	Scanner diff between base and head branch dependency files
env-secrets-manager	Ensure dependency tooling credentials (registry tokens) are securely managed	Registry authentication tokens stored and rotated via secrets manager
observability-designer	Monitor dependency health metrics over time	Scan summary statistics exported to monitoring dashboards