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Pi and OMP have no dedicated skill tool: a native skill load is emitted as an ordinary `read` tool call whose path points at the skill's SKILL.md (or a `skill://<name>` URI in newer OMP builds). The parser mapped every read to the Read tool and never populated `skills`, so Pi/OMP sessions over-counted Reads AND always showed an empty "Skills & Agents" breakdown. Detect these reads (basename === 'SKILL.md', or a skill:// URI), extract the skill name (parent directory, or the URI segment), and surface the call as the `Skill` tool with the name recorded in `skills` -- exactly how the Claude parser represents a skill invocation. That both removes the Read over-count and lets the shared classifier tag the turn `general` so the Skills & Agents breakdown picks it up (populating a field the dashboard never received before). The path is read from arguments.path with a defensive arguments.file_path fallback. Tests cover SKILL.md / skill:// / file_path detection, a non-skill read staying a Read, and an end-to-end check that a parsed skill load reaches the classifier subCategory that feeds skillBreakdown. |
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| architecture.md | ||