Sca Blackduck logo

Sca Blackduck

Organization
AgentSecOps
sca-blackduck

Software Composition Analysis (SCA) using Synopsys Black Duck for identifying open source vulnerabilities, license compliance risks, and supply chain security threats with CVE, CWE, and OWASP framework mapping. Use when: (1) Scanning dependencies for known vulnerabilities and security risks, (2) Analyzing open source license compliance and legal risks, (3) Identifying outdated or unmaintained dependencies, (4) Integrating SCA into CI/CD pipelines for continuous dependency monitoring, (5) Providing remediation guidance for vulnerable dependencies with CVE and CWE mappings, (6) Assessing supply chain security risks and third-party component threats.

Overview

PublisherAgentSecOps
RepositorySecOpsAgentKit
Skill namesca-blackduck
Stars
225
Forks
44
Bundled files
13
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.

  • 13 bundled files

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

  • Open source

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

Installation

Install the Sca Blackduck 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.
    https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/appsec/sca-blackduck
  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/AgentSecOps/SecOpsAgentKit.git /tmp/SecOpsAgentKit
mkdir -p .claude/skills
cp -r /tmp/SecOpsAgentKit/skills/appsec/sca-blackduck .claude/skills/sca-blackduck
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sca Blackduck 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 Sca Blackduck 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 Sca Blackduck 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.

Software Composition Analysis with Black Duck

Overview

Perform comprehensive Software Composition Analysis (SCA) using Synopsys Black Duck to identify security vulnerabilities, license compliance risks, and supply chain threats in open source dependencies. This skill provides automated dependency scanning, vulnerability detection with CVE mapping, license risk analysis, and remediation guidance aligned with OWASP and NIST standards.

Quick Start

Scan a project for dependency vulnerabilities:

bash
# Using Black Duck Detect (recommended)
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --blackduck.url=$BLACKDUCK_URL \
  --blackduck.api.token=$BLACKDUCK_TOKEN \
  --detect.project.name="MyProject" \
  --detect.project.version.name="1.0.0"

Scan with policy violation enforcement:

bash
# Fail build on policy violations
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --blackduck.url=$BLACKDUCK_URL \
  --blackduck.api.token=$BLACKDUCK_TOKEN \
  --detect.policy.check.fail.on.severities=BLOCKER,CRITICAL

Core Workflows

Workflow 1: Initial Dependency Security Assessment

Progress: [ ] 1. Identify package managers and dependency manifests in codebase [ ] 2. Run scripts/blackduck_scan.py with project detection [ ] 3. Analyze vulnerability findings categorized by severity (CRITICAL, HIGH, MEDIUM, LOW) [ ] 4. Map CVE findings to CWE and OWASP Top 10 categories [ ] 5. Review license compliance risks and policy violations [ ] 6. Generate prioritized remediation report with upgrade recommendations

Work through each step systematically. Check off completed items.

Workflow 2: Vulnerability Remediation

  1. Review scan results and identify critical/high severity vulnerabilities
  2. For each vulnerability:
    • Check if fixed version is available
    • Review breaking changes in upgrade path
    • Consult references/remediation_strategies.md for vulnerability-specific guidance
  3. Apply dependency updates using package manager
  4. Re-scan to validate fixes
  5. Document any vulnerabilities accepted as risk with justification

Workflow 3: License Compliance Analysis

  1. Run Black Duck scan with license risk detection enabled
  2. Review components flagged with license compliance issues
  3. Categorize by risk level:
    • High Risk: GPL, AGPL (copyleft licenses)
    • Medium Risk: LGPL, MPL (weak copyleft)
    • Low Risk: Apache, MIT, BSD (permissive)
  4. Consult legal team for high-risk license violations
  5. Document license decisions and create policy exceptions if approved

Workflow 4: CI/CD Integration

  1. Add Black Duck Detect to CI/CD pipeline using assets/ci_integration/
  2. Configure environment variables for Black Duck URL and API token
  3. Set policy thresholds (fail on CRITICAL/HIGH vulnerabilities)
  4. Enable SBOM generation for supply chain transparency
  5. Configure alerts for new vulnerabilities in production dependencies

Workflow 5: Supply Chain Risk Assessment

  1. Identify direct and transitive dependencies
  2. Analyze component quality metrics:
    • Maintenance activity (last update, commit frequency)
    • Community health (contributors, issue resolution)
    • Security track record (historical CVEs)
  3. Flag high-risk components (unmaintained, few maintainers, security issues)
  4. Review alternative components with better security posture
  5. Document supply chain risks and mitigation strategies

Security Considerations

  • Sensitive Data Handling: Black Duck scans require API tokens with read/write access. Store credentials securely in secrets management (Vault, AWS Secrets Manager). Never commit tokens to version control.

  • Access Control: Limit Black Duck access to authorized security and development teams. Use role-based access control (RBAC) for scan result visibility and policy management.

  • Audit Logging: Log all scan executions with timestamps, user, project version, and findings count for compliance auditing. Enable Black Duck's built-in audit trail.

  • Compliance: SCA scanning supports SOC2, PCI-DSS, GDPR, and HIPAA compliance by tracking third-party component risks. Generate SBOM for regulatory requirements.

  • Safe Defaults: Configure policies to fail builds on CRITICAL and HIGH severity vulnerabilities. Use allowlists sparingly with documented business justification.

Supported Package Managers

Black Duck Detect automatically identifies and scans:

  • JavaScript/Node: npm, yarn, pnpm
  • Python: pip, pipenv, poetry
  • Java: Maven, Gradle
  • Ruby: Bundler, gem
  • .NET: NuGet
  • Go: go modules
  • PHP: Composer
  • Rust: Cargo
  • C/C++: Conan, vcpkg
  • Docker: Container image layers

Bundled Resources

Scripts

  • scripts/blackduck_scan.py - Full-featured scanning with CVE/CWE mapping and reporting
  • scripts/analyze_results.py - Parse Black Duck results and generate remediation report
  • scripts/sbom_generator.sh - Generate SBOM (CycloneDX/SPDX) from scan results
  • scripts/policy_checker.py - Validate compliance with organizational security policies

References

  • references/cve_cwe_owasp_mapping.md - CVE to CWE and OWASP Top 10 mapping
  • references/remediation_strategies.md - Vulnerability remediation patterns and upgrade strategies
  • references/license_risk_guide.md - License compliance risk assessment and legal guidance
  • references/supply_chain_threats.md - Common supply chain attack patterns and mitigations

Assets

  • assets/ci_integration/github_actions.yml - GitHub Actions workflow for Black Duck scanning
  • assets/ci_integration/gitlab_ci.yml - GitLab CI configuration for SCA
  • assets/ci_integration/jenkins_pipeline.groovy - Jenkins pipeline with Black Duck integration
  • assets/policy_templates/ - Pre-configured security and compliance policies
  • assets/blackduck_config.yml - Recommended Black Duck Detect configuration

Common Patterns

Pattern 1: Daily Dependency Security Baseline

bash
# Run comprehensive scan and generate SBOM
scripts/blackduck_scan.py \
  --project "MyApp" \
  --version "1.0.0" \
  --output results.json \
  --generate-sbom \
  --severity CRITICAL HIGH

Pattern 2: Pull Request Dependency Gate

bash
# Scan PR changes, fail on new high-severity vulnerabilities
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --blackduck.url=$BLACKDUCK_URL \
  --blackduck.api.token=$BLACKDUCK_TOKEN \
  --detect.policy.check.fail.on.severities=CRITICAL,HIGH \
  --detect.wait.for.results=true

Pattern 3: License Compliance Audit

bash
# Generate license compliance report
scripts/blackduck_scan.py \
  --project "MyApp" \
  --version "1.0.0" \
  --report-type license \
  --output license-report.pdf

Pattern 4: Vulnerability Research and Triage

bash
# Extract CVE details and remediation guidance
scripts/analyze_results.py \
  --input scan-results.json \
  --filter-severity CRITICAL HIGH \
  --include-remediation \
  --output vulnerability-report.md

Pattern 5: SBOM Generation for Compliance

bash
# Generate Software Bill of Materials (CycloneDX format)
scripts/sbom_generator.sh \
  --project "MyApp" \
  --version "1.0.0" \
  --format cyclonedx \
  --output sbom.json

Integration Points

CI/CD Integration

  • GitHub Actions: Use synopsys-sig/detect-action@v1 with policy enforcement
  • GitLab CI: Run as security scanning job with dependency scanning template
  • Jenkins: Execute Detect as pipeline step with quality gates
  • Azure DevOps: Integrate using Black Duck extension from marketplace

See assets/ci_integration/ for ready-to-use pipeline configurations.

Security Tool Integration

  • SIEM/SOAR: Export findings in JSON/CSV for ingestion into Splunk, ELK
  • Vulnerability Management: Integrate with Jira, ServiceNow, DefectDojo
  • Secret Scanning: Combine with Gitleaks, TruffleHog for comprehensive security
  • SAST Tools: Use alongside Semgrep, Bandit for defense-in-depth

SDLC Integration

  • Requirements Phase: Define acceptable license and vulnerability policies
  • Development: IDE plugins provide real-time dependency security feedback
  • Code Review: Automated dependency review in PR workflow
  • Testing: Validate security of third-party components
  • Deployment: Final dependency gate before production release
  • Operations: Continuous monitoring for new vulnerabilities in production

Severity Classification

Black Duck classifies vulnerabilities by CVSS score and severity:

  • CRITICAL (CVSS 9.0-10.0): Remotely exploitable with severe impact (RCE, SQLi)
  • HIGH (CVSS 7.0-8.9): Significant security risks requiring immediate attention
  • MEDIUM (CVSS 4.0-6.9): Moderate security weaknesses needing remediation
  • LOW (CVSS 0.1-3.9): Minor security issues or defense-in-depth improvements
  • NONE (CVSS 0.0): Informational findings

Policy Management

Creating Security Policies

  1. Define organizational risk thresholds (e.g., fail on CVSS >= 7.0)
  2. Configure license compliance rules using assets/policy_templates/
  3. Set component usage policies (blocklists for known malicious packages)
  4. Enable operational risk policies (unmaintained dependencies, age thresholds)
  5. Document policy exceptions with business justification and expiration dates

Policy Enforcement

bash
# Enforce custom policy during scan
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --blackduck.url=$BLACKDUCK_URL \
  --blackduck.api.token=$BLACKDUCK_TOKEN \
  --detect.policy.check.fail.on.severities=BLOCKER,CRITICAL \
  --detect.wait.for.results=true

Performance Optimization

For large projects with many dependencies:

bash
# Use intelligent scan mode (incremental)
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --detect.detector.search.depth=3 \
  --detect.blackduck.signature.scanner.snippet.matching=SNIPPET_MATCHING \
  --detect.parallel.processors=4

# Exclude test and development dependencies
bash <(curl -s -L https://detect.synopsys.com/detect.sh) \
  --detect.excluded.detector.types=PIP,NPM_PACKAGE_LOCK \
  --detect.npm.include.dev.dependencies=false

Troubleshooting

Issue: Too Many False Positives

Solution:

  • Review vulnerability applicability (is vulnerable code path used?)
  • Use vulnerability suppression with documented justification
  • Configure component matching precision in Black Duck settings
  • Verify component identification accuracy (check for misidentified packages)

Issue: License Compliance Violations

Solution:

  • Review component licenses in Black Duck dashboard
  • Consult references/license_risk_guide.md for risk assessment
  • Replace high-risk licensed components with permissive alternatives
  • Obtain legal approval and document policy exceptions

Issue: Scan Not Detecting Dependencies

Solution:

  • Verify package manager files are present (package.json, requirements.txt, pom.xml)
  • Check Black Duck Detect logs for detector failures
  • Ensure dependencies are installed before scanning (run npm install, pip install)
  • Use --detect.detector.search.depth to increase search depth

Issue: Slow Scan Performance

Solution:

  • Use snippet matching instead of full file matching
  • Increase --detect.parallel.processors for multi-core systems
  • Exclude test directories and development dependencies
  • Use intelligent/rapid scan mode for faster feedback

Advanced Usage

Vulnerability Analysis

For detailed vulnerability research, consult references/remediation_strategies.md.

Key remediation strategies:

  1. Upgrade: Update to fixed version (preferred)
  2. Patch: Apply security patch if upgrade not feasible
  3. Replace: Switch to alternative component without vulnerability
  4. Mitigate: Implement workarounds or compensating controls
  5. Accept: Document risk acceptance with business justification

Supply Chain Security

See references/supply_chain_threats.md for comprehensive coverage of:

  • Dependency confusion attacks
  • Typosquatting and malicious packages
  • Compromised maintainer accounts
  • Backdoored dependencies
  • Unmaintained and abandoned projects

SBOM Generation and Management

Black Duck supports standard SBOM formats:

  • CycloneDX: Modern, machine-readable format for vulnerability management
  • SPDX: ISO/IEC standard for software package data exchange

Use SBOMs for:

  • Supply chain transparency
  • Regulatory compliance (Executive Order 14028)
  • Incident response (rapid vulnerability identification)
  • M&A due diligence

Best Practices

  1. Shift Left: Integrate SCA early in development lifecycle
  2. Policy-Driven: Define clear policies for vulnerabilities and licenses
  3. Continuous Monitoring: Run scans on every commit and nightly for production
  4. Remediation Prioritization: Focus on exploitable vulnerabilities first
  5. SBOM Management: Maintain up-to-date SBOM for all production applications
  6. Supply Chain Hygiene: Regularly review dependency health and maintainability
  7. License Compliance: Establish license approval process before adoption
  8. Defense in Depth: Combine SCA with SAST, DAST, and security testing

References

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 Sca Blackduck AI skill do?

Software Composition Analysis (SCA) using Synopsys Black Duck for identifying open source vulnerabilities, license compliance risks, and supply chain security threats with CVE, CWE, and OWASP framework mapping. Use when: (1) Scanning dependencies for known vulnerabilities and security risks, (2) Analyzing open source license compliance and legal risks, (3) Identifying outdated or unmaintained dependencies, (4) Integrating SCA into CI/CD pipelines for continuous dependency monitoring, (5) Providing remediation guidance for vulnerable dependencies with CVE and CWE mappings, (6) Assessing supp...

Why use Sca Blackduck on TypingMind?

Because you install it once and use it with any model. Sca Blackduck 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 Sca Blackduck in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/appsec/sca-blackduck. 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 Sca Blackduck?

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 Sca Blackduck?

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

Is the Sca Blackduck AI skill free?

It is published on GitHub by AgentSecOps. Check the repository for licensing terms. 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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