Sbom Syft logo

Sbom Syft

Organization
AgentSecOps
sbom-syft

Software Bill of Materials (SBOM) generation using Syft for container images, filesystems, and archives. Detects packages across 28+ ecosystems with multi-format output support (CycloneDX, SPDX, syft-json). Enables vulnerability assessment, license compliance, and supply chain security. Use when: (1) Generating SBOMs for container images or applications, (2) Analyzing software dependencies and packages for vulnerability scanning, (3) Tracking license compliance across dependencies, (4) Integrating SBOM generation into CI/CD for supply chain security, (5) Creating signed SBOM attestations for software provenance.

Overview

PublisherAgentSecOps
RepositorySecOpsAgentKit
Skill namesbom-syft
Stars
225
Forks
44
Bundled files
4
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.

  • 4 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 Sbom Syft 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/secsdlc/sbom-syft
  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/secsdlc/sbom-syft .claude/skills/sbom-syft
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sbom Syft 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 Sbom Syft 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 Sbom Syft 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.

Syft SBOM Generator

Overview

Syft is a CLI tool and Go library for generating comprehensive Software Bills of Materials (SBOMs) from container images and filesystems. It provides visibility into packages and dependencies across 28+ ecosystems, supporting multiple SBOM formats (CycloneDX, SPDX) for vulnerability management, license compliance, and supply chain security.

Supported Ecosystems

Languages & Package Managers: Alpine (apk), C/C++ (conan), Dart (pub), Debian/Ubuntu (dpkg), Dotnet (deps.json), Go (go.mod), Java (JAR/WAR/EAR/Maven/Gradle), JavaScript (npm/yarn), PHP (composer), Python (pip/poetry/setup.py), Red Hat (RPM), Ruby (gem), Rust (cargo), Swift (cocoapods)

Container & System: OCI images, Docker images, Singularity, container layers, Linux distributions

Quick Start

Generate SBOM for container image:

bash
# Using Docker
docker run --rm -v $(pwd):/out anchore/syft:latest <image> -o cyclonedx-json=/out/sbom.json

# Local installation
syft <image> -o cyclonedx-json=sbom.json

# Examples
syft alpine:latest -o cyclonedx-json
syft docker.io/nginx:latest -o spdx-json
syft dir:/path/to/project -o cyclonedx-json

Core Workflows

Workflow 1: Container Image SBOM Generation

For creating SBOMs of container images:

  1. Identify target container image (local or registry)
  2. Run Syft to generate SBOM:
    bash
    syft <image-name:tag> -o cyclonedx-json=sbom-cyclonedx.json
  3. Optionally generate multiple formats:
    bash
    syft <image-name:tag> \
      -o cyclonedx-json=sbom-cyclonedx.json \
      -o spdx-json=sbom-spdx.json \
      -o syft-json=sbom-syft.json
  4. Store SBOM artifacts with image for traceability
  5. Use SBOM for vulnerability scanning with Grype or other tools
  6. Track SBOM versions alongside image releases

Workflow 2: CI/CD Pipeline Integration

Progress: [ ] 1. Add Syft to build pipeline after image creation [ ] 2. Generate SBOM in standard format (CycloneDX or SPDX) [ ] 3. Store SBOM as build artifact [ ] 4. Scan SBOM for vulnerabilities (using Grype or similar) [ ] 5. Fail build on critical vulnerabilities or license violations [ ] 6. Publish SBOM alongside container image [ ] 7. Integrate with vulnerability management platform

Work through each step systematically. Check off completed items.

Workflow 3: Filesystem and Application Scanning

For generating SBOMs from source code or filesystems:

  1. Navigate to project root or specify path
  2. Scan directory structure:
    bash
    syft dir:/path/to/project -o cyclonedx-json=app-sbom.json
  3. Review detected packages and dependencies
  4. Validate package detection accuracy (check for false positives/negatives)
  5. Configure exclusions if needed (using .syft.yaml)
  6. Generate SBOM for each release version
  7. Track dependency changes between versions

Workflow 4: SBOM Analysis and Vulnerability Scanning

Combining SBOM generation with vulnerability assessment:

  1. Generate SBOM with Syft:
    bash
    syft <target> -o cyclonedx-json=sbom.json
  2. Scan SBOM for vulnerabilities using Grype:
    bash
    grype sbom:sbom.json -o json --file vulnerabilities.json
  3. Review vulnerability findings by severity
  4. Filter by exploitability and fix availability
  5. Prioritize remediation based on:
    • CVSS score
    • Active exploitation status
    • Fix availability
    • Dependency depth
  6. Update dependencies and regenerate SBOM
  7. Re-scan to verify vulnerability remediation

Workflow 5: Signed SBOM Attestation

For creating cryptographically signed SBOM attestations:

  1. Install cosign (for signing):
    bash
    # macOS
    brew install cosign
    
    # Linux
    wget https://github.com/sigstore/cosign/releases/latest/download/cosign-linux-amd64
    chmod +x cosign-linux-amd64
    mv cosign-linux-amd64 /usr/local/bin/cosign
  2. Generate SBOM:
    bash
    syft <image> -o cyclonedx-json=sbom.json
  3. Create attestation and sign:
    bash
    cosign attest --predicate sbom.json --type cyclonedx <image>
  4. Verify attestation:
    bash
    cosign verify-attestation --type cyclonedx <image>
  5. Store signature alongside SBOM for provenance verification

Output Formats

Syft supports multiple SBOM formats for different use cases:

FormatUse CaseSpecification
cyclonedx-jsonModern SBOM standard, wide tool supportCycloneDX 1.4+
cyclonedx-xmlCycloneDX XML variantCycloneDX 1.4+
spdx-jsonLinux Foundation standardSPDX 2.3
spdx-tag-valueSPDX text formatSPDX 2.3
syft-jsonSyft native format (most detail)Syft-specific
syft-textHuman-readable console outputSyft-specific
github-jsonGitHub dependency submissionGitHub-specific
templateCustom Go template outputUser-defined

Specify with -o flag:

bash
syft <target> -o cyclonedx-json=output.json

Configuration

Create .syft.yaml in project root or home directory:

yaml
# Cataloger configuration
package:
  cataloger:
    enabled: true
    scope: all-layers  # Options: all-layers, squashed

  search:
    unindexed-archives: false
    indexed-archives: true

# Exclusions
exclude:
  - "**/test/**"
  - "**/node_modules/**"
  - "**/.git/**"

# Registry authentication
registry:
  insecure-skip-tls-verify: false
  auth:
    - authority: registry.example.com
      username: user
      password: pass

# Output format defaults
output: cyclonedx-json

# Log level
log:
  level: warn  # Options: error, warn, info, debug, trace

Common Patterns

Pattern 1: Multi-Architecture Image Scanning

Scan all architectures of multi-platform images:

bash
# Scan specific architecture
syft --platform linux/amd64 <image> -o cyclonedx-json=sbom-amd64.json
syft --platform linux/arm64 <image> -o cyclonedx-json=sbom-arm64.json

# Or scan manifest list (all architectures)
syft <image> --platform all -o cyclonedx-json

Pattern 2: Private Registry Authentication

Access images from private registries:

bash
# Using Docker credentials
docker login registry.example.com
syft registry.example.com/private/image:tag -o cyclonedx-json

# Using environment variables
export SYFT_REGISTRY_AUTH_AUTHORITY=registry.example.com
export SYFT_REGISTRY_AUTH_USERNAME=user
export SYFT_REGISTRY_AUTH_PASSWORD=pass
syft registry.example.com/private/image:tag -o cyclonedx-json

# Using config file (recommended)
# Add credentials to .syft.yaml

Pattern 3: OCI Archive Scanning

Scan saved container images (OCI or Docker format):

bash
# Save image to archive
docker save nginx:latest -o nginx.tar

# Scan archive
syft oci-archive:nginx.tar -o cyclonedx-json=sbom.json

# Or scan Docker archive
syft docker-archive:nginx.tar -o cyclonedx-json=sbom.json

Pattern 4: Comparing SBOMs Between Versions

Track dependency changes across releases:

bash
# Generate SBOMs for two versions
syft myapp:v1.0 -o syft-json=sbom-v1.0.json
syft myapp:v2.0 -o syft-json=sbom-v2.0.json

# Compare with jq
jq -s '{"added": (.[1].artifacts - .[0].artifacts), "removed": (.[0].artifacts - .[1].artifacts)}' \
  sbom-v1.0.json sbom-v2.0.json

Pattern 5: Filtering SBOM Output

Extract specific package information:

bash
# Generate detailed SBOM
syft <target> -o syft-json=full-sbom.json

# Extract only Python packages
cat full-sbom.json | jq '.artifacts[] | select(.type == "python")'

# Extract packages with specific licenses
cat full-sbom.json | jq '.artifacts[] | select(.licenses[].value == "MIT")'

# Count packages by ecosystem
cat full-sbom.json | jq '.artifacts | group_by(.type) | map({type: .[0].type, count: length})'

Security Considerations

  • Sensitive Data Handling: SBOMs may contain internal package names and versions. Store SBOMs securely and restrict access to authorized personnel
  • Access Control: Limit SBOM generation and access to build systems. Use read-only credentials for registry access
  • Audit Logging: Log SBOM generation events, distribution, and access for compliance tracking
  • Compliance: SBOMs support compliance with Executive Order 14028 (Software Supply Chain Security), NIST guidelines, and OWASP recommendations
  • Safe Defaults: Use signed attestations for production SBOMs to ensure integrity and provenance

Integration Points

CI/CD Integration

GitHub Actions:

yaml
- name: Generate SBOM with Syft
  uses: anchore/sbom-action@v0
  with:
    image: ${{ env.IMAGE_NAME }}:${{ github.sha }}
    format: cyclonedx-json
    output-file: sbom.json

- name: Upload SBOM
  uses: actions/upload-artifact@v3
  with:
    name: sbom
    path: sbom.json

GitLab CI:

yaml
sbom-generation:
  image: anchore/syft:latest
  script:
    - syft $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA -o cyclonedx-json=sbom.json
  artifacts:
    reports:
      cyclonedx: sbom.json

Jenkins:

groovy
stage('Generate SBOM') {
  steps {
    sh 'syft ${IMAGE_NAME}:${BUILD_NUMBER} -o cyclonedx-json=sbom.json'
    archiveArtifacts artifacts: 'sbom.json'
  }
}

Vulnerability Scanning

Integrate with Grype for vulnerability scanning:

bash
# Generate SBOM and scan in one pipeline
syft <target> -o cyclonedx-json=sbom.json
grype sbom:sbom.json

SBOM Distribution

Attach SBOMs to container images:

bash
# Using ORAS
oras attach <image> --artifact-type application/vnd.cyclonedx+json sbom.json

# Using Docker manifest
# Store SBOM as additional layer or separate artifact

Advanced Usage

Custom Template Output

Create custom output formats using Go templates:

bash
# Create template file
cat > custom-template.tmpl <<'EOF'
{{- range .Artifacts}}
{{.Name}}@{{.Version}} ({{.Type}})
{{- end}}
EOF

# Use template
syft <target> -o template -t custom-template.tmpl

Scanning Specific Layers

Analyze specific layers in container images:

bash
# Squashed view (default - final filesystem state)
syft <image> --scope squashed -o cyclonedx-json

# All layers (every layer's packages)
syft <image> --scope all-layers -o cyclonedx-json

Environment Variable Configuration

Configure Syft via environment variables:

bash
export SYFT_SCOPE=all-layers
export SYFT_OUTPUT=cyclonedx-json
export SYFT_LOG_LEVEL=debug
export SYFT_EXCLUDE="**/test/**,**/node_modules/**"

syft <target>

Troubleshooting

Issue: Missing Packages in SBOM

Solution: Enable all-layers scope or check for package manager files:

bash
syft <target> --scope all-layers -o syft-json

Verify package manifest files exist (package.json, requirements.txt, go.mod, etc.)

Issue: Registry Authentication Failure

Solution: Ensure Docker credentials are configured or use explicit auth:

bash
docker login <registry>
# Then run syft
syft <registry>/<image> -o cyclonedx-json

Issue: Large SBOM Size

Solution: Use squashed scope and exclude test/dev dependencies:

yaml
# In .syft.yaml
package:
  cataloger:
    scope: squashed
exclude:
  - "**/test/**"
  - "**/node_modules/**"
  - "**/.git/**"

Issue: Slow Scanning Performance

Solution: Disable unindexed archive scanning for faster results:

yaml
# In .syft.yaml
package:
  search:
    unindexed-archives: false

License Compliance

Extract license information from SBOM:

bash
# Generate SBOM
syft <target> -o syft-json=sbom.json

# Extract unique licenses
cat sbom.json | jq -r '.artifacts[].licenses[].value' | sort -u

# Find packages with specific licenses
cat sbom.json | jq '.artifacts[] | select(.licenses[].value | contains("GPL"))'

# Generate license report
cat sbom.json | jq -r '.artifacts[] | "\(.name):\(.licenses[].value)"' | sort

Vulnerability Management Workflow

Complete workflow integrating SBOM generation with vulnerability management:

Progress: [ ] 1. Generate SBOM for application/container [ ] 2. Scan SBOM for known vulnerabilities [ ] 3. Classify vulnerabilities by severity and exploitability [ ] 4. Check for available patches and updates [ ] 5. Update vulnerable dependencies [ ] 6. Regenerate SBOM after updates [ ] 7. Re-scan to confirm vulnerability remediation [ ] 8. Document accepted risks for unfixable vulnerabilities [ ] 9. Schedule periodic SBOM regeneration and scanning

Work through each step systematically. Check off completed items.

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 Sbom Syft AI skill do?

Software Bill of Materials (SBOM) generation using Syft for container images, filesystems, and archives. Detects packages across 28+ ecosystems with multi-format output support (CycloneDX, SPDX, syft-json). Enables vulnerability assessment, license compliance, and supply chain security. Use when: (1) Generating SBOMs for container images or applications, (2) Analyzing software dependencies and packages for vulnerability scanning, (3) Tracking license compliance across dependencies, (4) Integrating SBOM generation into CI/CD for supply chain security, (5) Creating signed SBOM attestations fo...

Why use Sbom Syft on TypingMind?

Because you install it once and use it with any model. Sbom Syft 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 Sbom Syft in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgentSecOps/SecOpsAgentKit/tree/main/skills/secsdlc/sbom-syft. 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 Sbom Syft?

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 Sbom Syft?

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

Is the Sbom Syft 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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