
Company News
Meet the Socket Team at RSAC and BSidesSF 2026
Join Socket for live demos, rooftop happy hours, and one-on-one meetings during BSidesSF and RSA 2026 in San Francisco.
@formatjs/icu-skeleton-parser
Advanced tools
This package is also part of the FormatJS suite and provides functionality to parse ICU MessageFormat strings into an AST. It is similar to @formatjs/icu-skeleton-parser but focuses on the full MessageFormat pattern rather than just the skeleton.
Messageformat is a library that provides ICU MessageFormat support, including parsing and formatting for different locales. It is a more comprehensive solution compared to @formatjs/icu-skeleton-parser, which focuses solely on parsing skeletons.
Globalize is a library for i18n and l10n that provides number formatting, date and time formatting, and message formatting. It uses the ICU MessageFormat patterns but does not expose a dedicated parsing API like @formatjs/icu-skeleton-parser.
FAQs
Unknown package
The npm package @formatjs/icu-skeleton-parser receives a total of 9,224,175 weekly downloads. As such, @formatjs/icu-skeleton-parser popularity was classified as popular.
We found that @formatjs/icu-skeleton-parser demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
Did you know?

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Company News
Join Socket for live demos, rooftop happy hours, and one-on-one meetings during BSidesSF and RSA 2026 in San Francisco.

Research
/Security News
Malicious Packagist packages disguised as Laravel utilities install an encrypted PHP RAT via Composer dependencies, enabling remote access and C2 callbacks.

Research
/Security News
OpenVSX releases of Aqua Trivy 1.8.12 and 1.8.13 contained injected natural-language prompts that abuse local AI coding agents for system inspection and potential data exfiltration.