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* feat(#774): emit service_tier/model_verbosity in Codex agent TOML + agents/openai.yaml skill chip - Add service_tier = "flex" and model_verbosity = "low" to the Codex ConfigProfile TOML for light-tier agents (gsd-research-synthesizer, gsd-codebase-mapper, gsd-plan-checker, and 8 others identified via AGENT_DEFAULT_TIERS). Field names/values verified against Codex schema (profile_toml.rs / config_types.rs Verbosity enum). Non-light agents are unaffected. - Add generateCodexSkillMetadataYaml() and writeCodexSkillMetadataFiles(): after installRuntimeArtifacts, iterate every gsd-* skill directory, read the short-description already emitted in the SKILL.md frontmatter by convertClaudeCommandToCodexSkill, and write agents/openai.yaml with interface.display_name and interface.short_description for the Codex TUI skill picker chip. - yamlQuote (JSON.stringify) handles all YAML-unsafe chars. - User-owned gsd-dev-preferences dir is never overwritten. - Errors per-skill are swallowed so a bad SKILL.md can't abort install. - agents/openai.yaml is covered by the snapshot/rollback system and manifest hash (writeManifest hashes skill dirs recursively). - Uninstall symmetry: _removeGsdEntries removes whole gsd-* dirs. - 21 new tests in codex-config.test.cjs covering service_tier/verbosity TOML emission, YAML generation (round-trip via js-yaml), and writeCodexSkillMetadataFiles including an e2e integration test. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> * fix(#774): correct docs-lint coverage — proper changeset format + USER-GUIDE entry Rewrite the changeset fragment from old @opengsd/gsd-core:patch format to the required type:/pr: schema so the docs-lint parser can consume it. Add a new "Codex skill picker and agent scheduling (#774)" section to docs/USER-GUIDE.md describing the flex-tier scheduling and /skills TUI chip enrichments — both are user-visible and belong in docs rather than behind a docs-exempt marker. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
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