Projects STRLCPY scorecard Files
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Requirements for a check

If you'd like to add a check, make sure it is something that meets the following criteria and then create a new GitHub Issue to discuss with the team:

  • The scorecard must only be composed of automate-able, objective data. For example, a project having 10 contributors doesn’t necessarily mean it’s more secure than a project with say 50 contributors. But, having two maintainers might be preferable to only having one - the larger bus factor and ability to provide code reviews is objectively better.
  • The scorecard criteria can be as specific as possible and not limited general recommendations. For example, for Go, we can recommend/require specific linters and analyzers to be run on the codebase.
  • The scorecard can be populated for any open source project without any work or interaction from maintainers.
  • Maintainers must be provided with a mechanism to correct any automated scorecard findings they feel were made in error, provide "hints" for anything we can't detect automatically, and even dispute the applicability of a given scorecard finding for that repository.
  • Any criteria in the scorecard must be actionable. It should be possible, with help, for any project to "check all the boxes".
  • Any solution to compile a scorecard should be usable by the greater open source community to monitor upstream security.

How to write a check

The steps to writting a check are as follow:

  1. Create a file under checks/ folder, say checks/mycheck.go

  2. Give the check a name and register the check:

    // Note: export the name: start its name with an upper-case letter.
    const CheckMyCheckName string = "My-Check"
    
    func init() {
        registerCheck(CheckMyCheckName, EntryPointMyCheck)
    }
    
  3. Log information that is benfical to the user using checker.DetailLogger:

    • Use checker.DetailLogger.Warn() to provide detail on low-score results. This is showed when the user supplies the show-results option.
    • Use checker.DetailLogger.Info() to provide detail on high-score results. This is showed when the user supplies the show-results option.
    • Use checker.DetailLogger.Debug() to provide detail in verbose mode: this is showed only when the user supplies the --verbosity Debug option.
    • If your message relates to a file, try to provide information such as the Path, line number Offset and Snippet.
  4. If the checks fails in a way that is irrecoverable, return a result with checker.CreateRuntimeErrorResult() function: For example, if an error is returned from an API you call, use the function.

  5. Create the result of the check as follow:

    • Always provide a high-level sentence explaining the result/score of the check.
    • If the check runs properly but is unable to determine a score, use checker.CreateInconclusiveResult() function.
    • For proportional results, use checker.CreateProportionalScoreResult().
    • For maximum score, use checker.CreateMaxScoreResult(); for min score use checker.CreateMinScoreResult().
    • If you need more flexibility and need to set a specific score, use checker.CreateResultWithScore() with one of the constants declared, such as checker.HalfResultScore.
  6. Dealing with errors: see errors/errors.md.

  7. Create unit tests for both low, high and inconclusive score. Put them in a file checks/mycheck_test.go.

  8. Create e2e tests in e2e/mycheck_test.go. Use a dedicated repo that will not change over time, so that it's reliable for the tests.

  9. Update the checks/checks.yaml with the description of your check.

  10. Generate docs/check.md using make generate-docs. This will validate and generate docs/check.md.

  11. Update the README.md with a short description of your check.

For actual examples, look at checks/binary_artifact.go, checks/code_review.go and checks/pinned_dependencies.go.

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