What this error means

Warning: Skip output MY_SECRET, secret is not found; or Input required and not supplied: token is a GitHub Actions failure pattern reported for developers trying to fix github actions secrets appearing empty or undefined, especially in fork pull request workflows where secrets are blocked by default for security. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Fetched https://fixdevs.com/blog/github-actions-secret-not-available/ — comprehensive coverage of secret scope issues including fork PR restrictions (default behavior), organization-level secret scoping, wrong secret names, environment protection rules blocking access. Three concrete fix patterns: verify scope/name, use pull_request_target for trusted forks, use branch PRs instead. Strong commercial value because broken CI blocks paid team deployments. Verified NOT in covered-errors.md.

Common causes

  • Fetched https://fixdevs.com/blog/github-actions-secret-not-available/ — comprehensive coverage of secret scope issues including fork PR restrictions (default behavior), organization-level secret scoping, wrong secret names, environment protection rules blocking access. Three concrete fix patterns: verify scope/name, use pull_request_target for trusted forks, use branch PRs instead. Strong commercial value because broken CI blocks paid team deployments. Verified NOT in covered-errors.md.

Quick fixes

  1. Confirm the exact error signature matches Warning: Skip output MY_SECRET, secret is not found; or Input required and not supplied: token.
  2. Check the GitHub Actions account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the model name, local service connectivity, and network access before retrying the model pull.

Platform/tool-specific checks

  • Verify the command, editor, extension, or API client that produced the error.
  • Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
  • Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

  • Keep provider/tool configuration documented.
  • Record non-secret diagnostics such as tool version, provider name, model name, and command path.
  • Add a lightweight check before CI or production workflows depend on the tool.