How do I ensure my SDK generation workflow with a code scaffolding tool is compliant with internal security policies?

To keep an SDK generation workflow compliant with internal security policies, treat the scaffolding tool like any other supply-chain dependency and lock down every stage of the pipeline: source, execution, outputs, and publishing.

1) Approve the tool and its version

• Use only a security-approved scaffolding/codegen tool.
• Pin exact versions or commit SHAs; avoid floating tags like latest.
• Keep a software bill of materials (SBOM) for the tool and its plugins.

2) Run it in a controlled environment

• Execute generation in CI or a hardened build container, not on developer laptops for release artifacts.
• Use a least-privilege service account with:
  • no network access unless required,
  • read-only access to inputs,
  • write access only to the output workspace.
• Prefer ephemeral runners/containers so state cannot leak between builds.

3) Validate all templates and inputs

• Treat templates/specs as untrusted input if they can come from external teams or customers.
• Restrict who can modify templates and generation config.
• Review any template logic for:
  • file system access,
  • shell execution,
  • arbitrary code hooks,
  • network calls,
  • secret access.
• Require code review and approval for template changes.

4) Lock down dependencies used by the generator

• Pin and verify all transitive dependencies.
• Use private mirrors/artifact repositories where possible.
• Block unapproved package sources.
• Run vulnerability scans on the generator and its dependencies.

5) Sanitize outputs before publishing

• Scan generated code for:
  • secrets,
  • hardcoded credentials,
  • unsafe imports,
  • known vulnerable dependencies,
  • license issues.
• Enforce formatting, linting, and static analysis gates.
• Compare generated output against allowlisted patterns or expected file types.

6) Protect secrets and credentials

• Never expose production secrets to the generation job.
• Use short-lived tokens via OIDC or workload identity if publishing artifacts.
• Mask logs and prevent verbose debug output from printing sensitive data.

7) Separate duties and approvals

• Require human approval for:
  • generator upgrades,
  • template changes,
  • release publishing.
• Keep template authorship separate from release approval when possible.

8) Audit and traceability

• Log:
  • tool version,
  • input spec/template checksum,
  • build environment,
  • dependency versions,
  • output artifact checksum.
• Store provenance/attestation if your org supports it.
• Make builds reproducible so the same input produces the same output.

9) Define policy checks in CI/CD

Typical policy gates include:

• approved tool/version only,
• signed artifacts only,
• no network access during generation,
• no unapproved licenses,
• no critical/high vulnerabilities,
• no secrets in generated output,
• required code review on template changes.

10) Document the workflow

Create a short security runbook covering:

• what is allowed to generate SDKs,
• who can update templates,
• how to rotate/publish artifacts,
• how to respond to a compromise,
• how to verify generated code integrity.

Practical checklist

Before shipping, confirm:

• generator version pinned and approved
• generation runs in isolated CI/container
• templates reviewed and access-controlled
• dependencies locked and scanned
• generated output scanned for secrets/vulns/licenses
• secrets not available to the job
• build artifacts signed/attested
• audit logs retained
• approvals required for template or tool changes

If you want, I can turn this into a concrete CI policy checklist or a sample secure pipeline for a specific tool like OpenAPI Generator, Cookiecutter, or Yeoman.