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charliegerard/safe-space

A GitHub Action that uses TensorFlow.js toxicity classification to detect and flag harmful comments in repositories.

473 stars JavaScript LLMOps · Eval
safe-space
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This GitHub Action integrates a pre-trained TensorFlow.js toxicity classifier to analyze comments on pull requests, issues, and PR reviews. When potentially toxic content is detected, it can automatically post a comment alerting the author so they can edit the content before it persists. The tool runs as a CI workflow step using the GitHub Actions framework and accepts configurable toxicity thresholds.

Frequently asked

What is charliegerard/safe-space?
A GitHub Action that uses TensorFlow.js toxicity classification to detect and flag harmful comments in repositories.
Is safe-space open source?
Yes — charliegerard/safe-space is open source, released under the GPL-3.0 license.
What language is safe-space written in?
charliegerard/safe-space is primarily written in JavaScript.
How popular is safe-space?
charliegerard/safe-space has 473 stars on GitHub.
Where can I find safe-space?
charliegerard/safe-space is on GitHub at https://github.com/charliegerard/safe-space.

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