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fix: honor fs when locating skill project roots

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Yichen Jiang
2026-07-06 15:59:12 +08:00
parent 1934035d04
commit 426d65a2a2
5 changed files with 66 additions and 10 deletions
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docs/rfc/implemented/feature/2026-07-05-skill-system.md
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@@ -16,7 +16,7 @@ Discovery scans cwd-sensitive project roots, runtime registrations, user roots,
Each skill is either `<name>/SKILL.md` or `<name>.md` with YAML frontmatter. `name` and `description` are required; `whenToUse`, `disableModelInvocation`, and `metadata` are optional. Names are kebab-case. YAML frontmatter is parsed with the `yaml` package instead of `js-yaml` or a hand-written parser: `yaml` is the already-declared modern parser for this package's limited frontmatter needs, and a narrow parser would either reject valid YAML users expect to work or grow into an unreviewed YAML subset.
Skill filesystem I/O goes through `ctx.fs` when a filesystem service is loaded: root discovery uses `listDir`, skill reads use `readText`, and system-skill installation uses `writeText`. The Node filesystem remains a fallback for minimal contexts that mount `dsh-skill` without the fs seam. Missing roots and unreadable or malformed skill files degrade to warn-and-skip so one bad local file does not make every agent request fail.
Skill filesystem I/O goes through `ctx.fs` when a filesystem service is loaded: project-root lookup probes `.git` with `resolve` and `stat`, root discovery uses `listDir`, skill reads use `readText`, and system-skill installation uses `writeText`. The Node filesystem remains a fallback for minimal contexts that mount `dsh-skill` without the fs seam. Missing roots and unreadable or malformed skill files degrade to warn-and-skip so one bad local file does not make every agent request fail.
The service injects a request-time `## Skills` fragment through the existing `agent/request` waterfall. It appends to `GenerateOptions.system` instead of changing `systemPrompt.assemble()`, because the available project skills depend on the calling agent's cwd. The fragment contains only stable routing metadata and is sorted by skill name after first-wins collection, so equivalent workspaces produce deterministic prompt text and better prefix-cache reuse. Full skill bodies are never included in the listing.