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This PR was automatically created by Snyk using the credentials of a real user.


Keeping your Docker base image up-to-date means you’ll benefit from security fixes in the latest version of your chosen image.

Changes included in this PR

  • content/actions/creating-actions/dockerfile-support-for-github-actions.md

We recommend upgrading to debian:9.13-slim, as this image has only 85 known vulnerabilities. To do this, merge this pull request, then verify your application still works as expected.

Some of the most important vulnerabilities in your base image include:

Severity Priority Score / 1000 Issue Exploit Maturity
high severity 614 CVE-2019-3462
SNYK-DEBIAN9-APT-407402
No Known Exploit
medium severity 514 Out-of-bounds Write
SNYK-DEBIAN9-E2FSPROGS-468975
No Known Exploit
medium severity 514 Out-of-bounds Write
SNYK-DEBIAN9-E2FSPROGS-540843
No Known Exploit
medium severity 514 Use of a Broken or Risky Cryptographic Algorithm
SNYK-DEBIAN9-LIBGCRYPT20-1582895
No Known Exploit
medium severity 514 Loop with Unreachable Exit Condition ('Infinite Loop')
SNYK-DEBIAN9-TAR-312293
No Known Exploit

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@pull-request-quantifier-deprecated

This PR has 2 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Extra Small
Size       : +1 -1
Percentile : 0.8%

Total files changed: 1

Change summary by file extension:
.md : +1 -1

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detetcted.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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Customize PullRequestQuantifier for this repository.

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LGTM

@t10-13rocket t10-13rocket merged commit aadb7c9 into main Sep 3, 2022
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2 participants