mirror of
https://github.com/garrytan/gstack.git
synced 2026-06-17 15:20:11 +02:00
d3feac15ad
Generated SKILL.md frontmatter emitted the catalog-trimmed description: as a plain YAML scalar. A description with an interior ": " (e.g. "Ship workflow: detect...") parses as a nested mapping under strict YAML loaders, so Codex/OpenAI skill loading rejected those skills. applyCatalogTrim now routes the value through toYamlInlineScalar, which quotes (via JSON.stringify) only when a plain scalar would be invalid — interior ": ", inline " #", leading indicator char, or surrounding whitespace. Strings that are already valid plain scalars pass through unchanged to keep regen diffs small. The frontmatter test now parses every generated block (Claude + Codex hosts) with Bun.YAML.parse instead of string-checking that name:/description: substrings exist, so the regression can't reappear. Runs under `bun test` (already in CI). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>