intl-review

intl-review is a Translation & localisation skill for AI agents, published by ethereum in the ethereum-org-website repository on GitHub. Skillspace rates intl-review C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Use when reviewing translation imports/PRs (especially against `intl/pending-*` branches), evaluating translation quality across any of the 24 target languages, triaging issues in `.claude/translation-review/`, scoring a locale's translation, running the `/review-translations` slash command, debugging brand-name mistranslations or glossary deviations, or working with the per-language findings tracking files. Covers the scoring rubric, ETHGlossary-as-authority policy, language-group rules, agent-role split (structural / terminology / semantic), the concept-tag-vs-brand-tag distinction in frontmatter, and the critical-vs-warning severity policy.

Grade

C

Quality

71 / 100

Safety

Passed

GitHub stars

5,951

Unproven: rated by static analysis only, not yet compared head-to-head.

Not launch-quality. It is graded C with a clean safety verdict, but our quality filters exclude it: a model that read it found it written only for the repository it lives in; it looks like a template or a stub that was never filled in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.