argos-javascript
Official Argos SDKs for JavaScript
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Install command
npx skhub add --skillset @argos-ci/argos-javascriptIncluded Skills
Operate Argos visual testing from the terminal with the `argos` CLI — inspect builds and snapshot diffs, submit reviews, request reviewers, post comments, inspect a test's flakiness and its recurring changes, ignore flaky test changes, configure a project and its contributors, manage a team's members, invites and email domains, manage automation rules, fetch analytics, upload screenshots, and manage CI builds. Use whenever running `argos` commands or working with Argos builds, snapshots, flakiness, projects, teams, or visual-regression reviews from a shell, script, or CI pipeline. Load before running `argos` — it covers the token model and JSON output contract that prevent silent failures.
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Review Argos visual regression builds as one input to a pull request review. Use when a PR has an Argos build link, an Argos status check, or a bot comment pointing to an Argos build, and you need to decide whether the visual diffs match the developer's intent before approving.
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Upload a screenshot, an image or a screen recording to Argos and get a shareable URL plus ready-to-paste Markdown, so it can be embedded in a pull request, an issue, a changelog or a chat message — or attached to a branch or pull request, where Argos posts and maintains the comment itself. Use whenever you have produced a visual artifact — a Playwright video or trace screenshot, a before/after of a UI change, a recording of a reproduction — and need it visible to a human who cannot run your shell. GitHub has no public API for comment attachments, so this is how an agent working from a terminal gets an image into a pull request at all. Also covers reading back the comments a human pinned to those screenshots, so you can act on visual feedback you cannot see.
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Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
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