doppler-workflows

Doppler automates credential workflows by running commands securely through the CLI with the --command pattern, injecting secrets like PyPI tokens without exposing them. Use project-scoped tokens and per-project configurations to manage publishing and credential rotation across services while maintaining audit trails and notes.

Yes. Doppler supports AWS credential rotation and multi-account deployment patterns through per-project tokens and cross-service secret injection. Configure project-scoped access, apply notes for audit trails, and use the --command pattern to execute credential-dependent operations safely across multiple accounts.

Use Doppler CLI to inject the PyPI token at runtime: `doppler run --project [project] --config [config] --command='uv publish --token "$PYPI_TOKEN"'`. Credentials stay unexposed, audit trails track usage, and per-project tokens limit blast radius if compromised.

Doppler injects secrets at command execution through environment variables, enabling multi-service patterns where each project maintains its own token scope and audit notes. Templates and references standardize injection across PyPI, AWS, and other services without storing credentials on disk.

Yes. Doppler CLI is required to execute the --command pattern, manage project-scoped tokens, and apply zero-exposure credential handling. The CLI enables per-project configurations and audit trails necessary for secure credential and secret management workflows.

Per-project token scoping limits exposure to the specific project where the token was used, containing the breach. Audit trails and notes track token activity, and you can revoke the compromised token without affecting credentials in other projects, reducing organizational blast radius.