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Static analysis tool for ASM codebases. Builds call graphs, finds callers/callees, and identifies memory write locations.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
| name | code-navigator |
| description | Static analysis tool for ASM codebases. Builds call graphs, finds callers/callees, and identifies memory write locations. |
JSL, JSR, JML).STA, STX, STY).Who calls a specific routine?
callers Link_Hurt -> Returns list of routines and file locations.Who writes to a specific RAM address?
writes 7E0010 -> Returns routines that modify GameMode.Generate a JSON call graph for visualization or LLM context.
graph --out codebase.json~/src/hobby/yaze/scripts/ai/code_graph.py.~/src/hobby/oracle-of-secrets (or any ASM folder).Link_ResetProperties?"$7E0300?"if).JSR ($0000,X).Use the Agentic File System (AFS) context model for discovery, mounts, scratchpad memory, and file-based tool workflows. Use when a task involves .context operations, AFS CLI usage, or cross-agent context coordination.
Read and interpret the Link to the Past (ALTTP) disassembly with label/symbol context. Use when mapping ROM/CPU addresses to labels, searching usdasm/jpdasm sources, or cross-referencing routines with Hyrule Historian, z3dk label indexes, or z3ed output.
Train, evaluate, and maintain the scawful-echo persona and related avatar models (Echo/Memory/Muse). Use when working on persona voice, dataset prep, A/B testing, deployment, or tool-calling constraints for avatar models.
Autonomous navigation agent for Oracle of Secrets. Uses static map data and dynamic RAM state to localize Link and route him to destinations.
End-to-end Oracle of Secrets debugging using the Mesen2-OOS socket CLI, z3ed, and label/symbol tooling. Use for breakpoint/trace capture, memory inspection, savestate repro, overlays, or crash/regression triage (replaces mesen2-mcp and legacy Lua bridge workflows).
Expert guidance for LLM model training, synthetic data generation (SDE), Hierarchical MoE (H-MoE) management, and agentic evaluation. Use when setting up training runs (Vast.ai), generating datasets, or performing technical research PDF analysis for ROM hacking and general AI development.