Multi-agent reflective review of pruning candidates from ralphglasses_dead_surface_audit. Spawns three sub-agent reviewers (diff / holistic / test-impact) via `claude --print`, requires ≥2/3 safe-to-delete consensus before forwarding to the auto-revert tool. Use when an audit returns >5 candidates and you want a safety net beyond the single-handler ranking score.
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Install skill "ralphglasses-pruning-review" with this command: npx skills add hairglasses-studio/skillsmp-hairglasses-studio-hairglasses-studio-ralphglasses-pruning-review
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Related by shared tags or category signals.
Run a read-only surface-pruning audit against a fleet repo. Combines deadcode whole-program reachability with .ralph/tool_benchmarks.jsonl telemetry into a ranked list of candidates-for-removal (zero-call MCP tools, long-tail tools, unreachable Go functions). Use before a deletion PR; never mutates the target.
Run end-to-end repo self-development workflows for ralphglasses, including repo surface audit, roadmap analysis, loop or marathon execution, merge verification, and durable docs writeback.
Fleet management and self-improvement tools for ralphglasses
Provides AI-driven portfolio risk analysis for China A-shares with VaR, stress testing, tail risk, factor exposure, and risk attribution for fund managers.