[ScriptedAlchemy]

The skills library added in #34 scans the host's default harness homes but misses the profile a configured account actually uses. A Claude account with its own CLAUDE_CONFIG_DIR and profile sharing enabled therefore keeps a separate skill catalog even after Refresh; explicit Claude/Codex homes have the same gap.

Drivers now expose their already-resolved shared skills directory to the library. Refresh includes enabled account profiles, retains Claude private-profile opt-outs, deduplicates physical directory aliases, and reacts when a configured profile path changes. Codex covers existing, CLI, and managed accounts. A single scan distinguishes active profiles from previously linked profiles, so changed or removed accounts restore their old links without making retired copies part of the active catalog. Ownership is recorded before linking in this environment's userdata, survives restart and interrupted detach, and is retained while a staged-copy conflict remains. Detach restores Claude copies and removes Codex links according to the existing ownership policy.

Validation:

• The custom-profile regression failed before the fix: apply never created ~/.agents/skills/custom/SKILL.md.
• Runtime fixture transcript: custom profile skill → library; library skill → configured profile; a second apply preserves both; detach restores real Claude copies. Disabled profiles stay untouched and aliased roots are processed once. Reassignment restores the former home immediately; restart completes detach even after an account disappears. Missing/reassigned roots remain untouched, and a second environment with the same OS home cannot consume the first environment's ownership journal.
• Offline vp run check:changed origin/main passes, including 37 changed-area tests and typechecks of 26 affected/dependent packages.
• Additional pstack, model-resolution, native-plugin, pool, Claude discovery, overlay, and MCP suites: 262 tests passed.
• Server-only behavior, shared by web, desktop, mobile, and MCP. No client UI changes or paid provider turns.

Model and harness: GPT-6 / Codex.

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