slack-health-score

Report a rough metric on high level code quality based on some heuristics Slack Engineering employs

Installation

Workflow Setup

It is recommended to set up this action as a separate GitHub Workflow job. This way, any other continuous integration tasks that might be needed to run first, such as code coverage reporting, can be run in a separate job that the Health Score job requires to complete first.

The following is an example job that requires that the test job completes first:

  health-score:
    needs: test
    permissions:
      checks: write
    runs-on: ubuntu-latest
    steps:
      - name: Setup repo
        uses: actions/checkout@v4
      - name: Report health score
        uses: slackapi/slack-health-score@v0
        with:
          codecov_token: ${{ secrets.CODECOV_API_TOKEN }}
          github_token: ${{ secrets.GITHUB_TOKEN }}
          extension: ts
          include: src

API Tokens

Two important notes about the API tokens this action relies on:

1. The github_token input is used to create a status check on PRs/commits and report the health score using this GitHub API. Therefore, this token must have checks: write permission. As you can see in the above example workflow YAML, this is explicitly provided to the job via permissions: checks: write.
2. The codecov_token input is used to retrieve code coverage details from codecov.io. You cannot use the CodeCov "Global Upload" token as it has insufficient permissions to access CodeCov's HTTP API. You must use a human-generated API token for this input.

Usage

- uses: slackapi/slack-health-score@v0
  with:
    # The file extension to inspect as part of health score calculation. For example, 'js'
    # or 'go' These conditions are logically OR'ed together using -o (OR) in the find command.
    # This input is required.
    extension: ''

    # A GitHub access token with permissions to write GitHub Checks. Recommended to set
    # this to `${{ secrets.GITHUB_TOKEN }}` in a workflow `job` that has `checks: write`
    # permissions. See the full `job` example at the beginning of this README.
    # This input is required.
    github_token: ''

    # Only parse the specified files and directories (recursively). Defaults to `.`.
    # E.g. "src"
    include: ''

    # Ignore the specified files and directories. Essentially a direct argument into
    # `find` `-not -path "{arg}"`. Defaults to contents of `.gitignore`.
    # E.g. "node_modules"
    exclude: ''

    # A CodeCov API access token with read permissions to the repo. This _cannot_ be
    # a CodeCov "Global Upload" token - it _must_ be a human user API access token.
    # Setting this will try to pull coverage information for the repo from CodeCov to
    # include in health score calculation; not setting it will exclude code coverage
    # from health score calculation.
    codecov_token: ''

    # Maximum number of times to try retrieving code coverage information from codecov.
    # Defaults to 10.
    codecov_max_attempts: ''

    # Number of milliseconds to wait when retrying retrieving code coverage information
    # from codecov. Defaults to 10000 (10 seconds).
    codecov_retry_delay: ''

    # If retrieving code coverage from CodeCov times out (according to the configuration
    # set up via the `codecov_max_attempts` and `codecov_retry_delay` inputs), should that
    # cause this action to error out. Defaults to false.
    codecov_treat_timeout_as_error: ''

What is Slack's Health Score?

Slack Engineering calculates a health score for software projects making up the product. This score is a heuristic or proxy metric for code quality. It is not perfect and is intended for providing awareness. The score ranges from some negative number to 0 - a score of 0 signals "no problems detected."

The score is currently calculated from the following:

• Problematic comments. Comments that include "TODO", "HACK" and "FIXME" tend to signal that some corners were cut and shortcuts taken, which may negatively impact the long-term health of a project.
• Missing code coverage. While not a perfect metric, code coverage via tests is generally correlated with higher quality.