Bitbucket Pipe Error - "Error: ..." from a Pipe

By Daniel Zoghalchali·Latchkey

A pipe - a packaged Docker action invoked with pipe: - failed. Most often a required variable is missing, the pipe version/tag is wrong, or an input value is invalid.

What this error means

A step using pipe: fails with an "Error:" message from the pipe itself, often naming a missing variable or a rejected parameter. The pipe usually validates its inputs and exits before doing the work.

Error: AWS_ACCESS_KEY_ID variable missing.
✖ Deployment failed (pipe: atlassian/aws-s3-deploy:1.1.0)

Common causes

A required variable is missing

Pipes declare required inputs (credentials, target names). If a variable like AWS_ACCESS_KEY_ID is unset or misnamed, the pipe fails its own precondition check.

Wrong pipe version or invalid input

Referencing a non-existent pipe tag, or passing an input the pipe rejects (bad region, malformed path), causes the pipe to error out.

How to fix it

Provide all required variables

Set the pipe’s required inputs as secured variables and pass them under variables:.

- step:
    script:
      - pipe: atlassian/aws-s3-deploy:1.1.0
        variables:
          AWS_ACCESS_KEY_ID: $AWS_ACCESS_KEY_ID
          AWS_SECRET_ACCESS_KEY: $AWS_SECRET_ACCESS_KEY
          AWS_DEFAULT_REGION: 'us-east-1'
          S3_BUCKET: 'my-bucket'
          LOCAL_PATH: 'dist'

Pin a valid pipe version and check inputs

1. Use a real published tag for the pipe (check its README on Bitbucket).
2. Cross-check every required variable name against the pipe’s docs.
3. Enable DEBUG: "true" on the pipe to see verbose input validation.

How to prevent it

• Pin pipes to a specific version, not a floating tag.
• Store pipe credentials as secured variables.
• Read the pipe’s required-variable list before adopting it.

Frequently asked questions

Related guides

References

• GitHub Actions documentation