florianbuetow

outdated-deps

This skill should be used when the user asks to "check for vulnerable dependencies", "audit dependencies", "find outdated packages", "scan for CVEs", "check for typosquatting", or mentions "vulnerable components", "outdated dependencies", or "supply chain" in a security context. Maps to OWASP Top 10 2021 A06: Vulnerable and Outdated Components.

florianbuetow 9 Updated 3mo ago

Resources

1
GitHub

Install

npx skillscat add florianbuetow/claude-code/outdated-deps

Install via the SkillsCat registry.

SKILL.md

Vulnerable and Outdated Components Analysis

Analyze project dependencies for known vulnerabilities (CVEs), abandoned packages,
unpinned versions, typosquatting risks, and excessive transitive dependency chains.
This skill heavily relies on external scanners for CVE detection and uses Claude
analysis for configuration hygiene, supply chain risks, and contextual assessment.

Supported Flags

Read `../../shared/schemas/flags.md` for full flag
documentation. This skill supports all cross-cutting flags.

Key flags for this skill:

Flag Effect
--scope <value> Target scope (default: changed). module: and full are common for dependency audits.
--depth <value> Analysis depth (default: standard). deep traces transitive dependency trees.
--severity <value> Minimum severity to report (default: all).
--format <value> Output format: text, json, sarif, md.
--fix Generate dependency update commands or patches for each finding.
--explain Add CVE details, exploit context, and learning material to each finding.

Framework Context

OWASP Top 10 2021 -- A06: Vulnerable and Outdated Components

Applications are vulnerable when they use components with known vulnerabilities,
do not track component versions, do not scan for vulnerabilities regularly, do not
fix or upgrade underlying platforms in a timely fashion, or do not test compatibility
of updated libraries.

CWE Mappings:

  • CWE-1035: Using Software with Known Vulnerabilities (OWASP Top 10 specific)
  • CWE-1104: Use of Unmaintained Third-Party Components
  • CWE-937: Using Components with Known Vulnerabilities

STRIDE Mapping: All categories -- the impact depends on the specific vulnerability
in the component. A vulnerable serialization library maps to Tampering and Elevation of
Privilege; a vulnerable TLS library maps to Information Disclosure.

Detection Patterns

Read `references/detection-patterns.md` before
running analysis. It contains Grep regex patterns for manifest file issues, lockfile
analysis, and supply chain risk indicators.

Workflow

Step 1 -- Determine Scope

  1. Parse --scope flag (default: changed).
  2. Resolve to a concrete file list.
  3. Identify dependency manifests and lockfiles in scope:
    • Node.js: package.json, package-lock.json, yarn.lock, pnpm-lock.yaml
    • Python: requirements.txt, requirements*.txt, Pipfile, Pipfile.lock, pyproject.toml, poetry.lock, setup.py, setup.cfg
    • Go: go.mod, go.sum
    • Rust: Cargo.toml, Cargo.lock
    • Java: pom.xml, build.gradle, build.gradle.kts, gradle.lockfile
    • Ruby: Gemfile, Gemfile.lock
    • PHP: composer.json, composer.lock
    • .NET: *.csproj, packages.config, Directory.Packages.props
    • Container: Dockerfile, docker-compose*.yml
  4. If --scope changed returns no manifest files, expand to --scope module:<auto>
    to find the nearest manifest.

Step 2 -- Check for Scanners

Detect available scanners in priority order:

Scanner Detect Ecosystem Best For
npm audit which npm Node.js Built-in CVE scanning for npm packages
pip-audit which pip-audit Python CVE scanning for Python packages
trivy which trivy Universal Multi-ecosystem CVE + license scanning
osv-scanner which osv-scanner Universal OSV database lookups across all ecosystems
cargo-audit which cargo-audit Rust CVE scanning for Rust crates

This skill depends heavily on scanners. If no scanners are available, warn the
user prominently and recommend installing at least one. Claude analysis alone cannot
reliably detect known CVEs -- it can only check configuration hygiene and supply chain
indicators.

Step 3 -- Run Available Scanners

For each detected scanner relevant to the project ecosystem, run against the scoped
manifests:

  • npm audit: npm audit --json (from package.json directory)
  • pip-audit: pip-audit --format json (from requirements.txt or pyproject.toml directory)
  • trivy: trivy fs --format json --scanners vuln <target>
  • osv-scanner: osv-scanner --format json -r <target>
  • cargo-audit: cargo audit --json (from Cargo.toml directory)

Normalize scanner output to the findings schema per
`../../shared/schemas/scanners.md`.

Important: Run scanners from the correct working directory. Dependency scanners
require being in the project root or the directory containing the manifest file.

Step 4 -- Claude Analysis

Even when scanners are available, Claude adds value by analyzing patterns that scanners
miss. Using Grep and Read, search for patterns from references/detection-patterns.md:

  1. Unpinned versions: Check manifests for loose version constraints (^, ~, *,
    >= without upper bound).
  2. Missing lockfiles: Verify that each manifest has a corresponding lockfile committed.
  3. Abandoned packages: Cross-reference package names with known abandoned or
    deprecated packages when recognizable.
  4. Typosquatting risks: Look for package names that are one edit distance from
    popular packages.
  5. Excessive dependencies: Flag manifests with unusually large dependency counts
    that increase attack surface.
  6. License compliance: Note packages with restrictive or unknown licenses if detectable.

Merge Claude findings with scanner findings, deduplicating by package name and version.

Step 5 -- Report Findings

Output findings using the schema from
`../../shared/schemas/findings.md`.

Use the DEP prefix for finding IDs (e.g., DEP-001, DEP-002).

Group findings by category:

  1. Known CVEs (from scanners) -- highest priority
  2. Unpinned versions -- configuration hygiene
  3. Missing lockfiles -- supply chain risk
  4. Abandoned packages -- maintenance risk
  5. Typosquatting candidates -- supply chain attack risk
  6. Excessive transitive dependencies -- attack surface

What to Look For

  1. Known CVEs in direct dependencies -- Vulnerabilities with published CVE
    identifiers in packages the project directly depends on.
  2. Known CVEs in transitive dependencies -- Vulnerabilities in packages pulled
    in indirectly through the dependency tree.
  3. Unpinned dependency versions -- Version ranges that allow automatic updates
    to potentially vulnerable versions (^, ~, *, >=).
  4. Missing lockfiles -- Manifests without committed lockfiles mean builds are
    not reproducible and dependency resolution can vary.
  5. Abandoned or unmaintained packages -- Dependencies with no updates in 2+ years,
    archived repositories, or known deprecation notices.
  6. Typosquatting candidates -- Package names suspiciously similar to popular
    packages (e.g., lodahs vs lodash, reqeusts vs requests).
  7. Excessive transitive dependencies -- A single direct dependency pulling in
    hundreds of transitive packages increases supply chain attack surface.
  8. Packages from untrusted registries -- Dependencies sourced from non-default
    registries, private URLs, or git repositories without integrity checks.
  9. Outdated major versions -- Running multiple major versions behind, even
    without known CVEs, increases the risk window for future disclosures.

Scanner Integration

See `../../shared/schemas/scanners.md` for full scanner
invocation details. This skill primarily uses:

Scanner What It Catches
npm audit Known CVEs in npm packages, severity ratings, fix availability
pip-audit Known CVEs in Python packages via PyPI/OSV advisories
trivy Multi-ecosystem CVEs, license issues, Dockerfile base image vulnerabilities
osv-scanner OSV database matches across all ecosystems, including Go, Maven, PyPI, npm
cargo-audit RustSec advisory database matches for Rust crates

Scanner availability is critical for this skill. Without scanners, the skill can
only detect configuration-level issues (unpinned versions, missing lockfiles) but
cannot reliably identify known CVEs.

When scanners are unavailable:

  1. Warn: "No dependency scanner available. CVE detection requires a scanner. Install
    one of: npm audit (built-in), pip-audit, trivy, osv-scanner."
  2. Proceed with Claude-only analysis for configuration hygiene patterns.
  3. Report findings with confidence: low for anything that would need scanner
    confirmation.

Output Format

All findings use the schema defined in
`../../shared/schemas/findings.md`.

ID Prefix: DEP (e.g., DEP-001)

References for each finding:

  • references.owasp: A06:2021
  • references.cwe: CWE-1035 (known vulns) or CWE-1104 (unmaintained)
  • references.stride: Depends on the specific vulnerability
  • metadata.tool: outdated-deps
  • metadata.framework: owasp
  • metadata.category: A06

For CVE findings, also include:

  • references.cve: The CVE identifier (e.g., CVE-2023-44270)
  • fix.summary: The fixed version or upgrade command

Summary table after all findings:

| Severity | Count |
|----------|-------|
| CRITICAL | N     |
| HIGH     | N     |
| MEDIUM   | N     |
| LOW      | N     |

| Category                  | Count |
|---------------------------|-------|
| Known CVEs                | N     |
| Unpinned Versions         | N     |
| Missing Lockfiles         | N     |
| Abandoned Packages        | N     |
| Typosquatting Candidates  | N     |
| Excessive Dependencies    | N     |

Followed by:

  • Top 3 priorities (usually the highest-severity CVEs)
  • Recommended upgrade commands
  • Overall dependency health assessment paragraph