- Implemented a Python script to extract data from the EUSECODE.FLX file format. - Defined data structures for candidate entries and extracted chunks using dataclasses. - Added functions to read and parse the FLX table, extract candidate data, and generate human-readable output files. - Included functionality for analyzing extracted data, including generating summaries, descriptors, and event family reports. - Implemented utilities for calculating printable ratios, zero ratios, and identifying text-like data. - Added support for writing various output formats, including JSON, TSV, and Markdown.
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| description | name | model | target | handoffs | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Third GPT-5.3-Codex mid-complexity execution pass for Crusader Ghidra decompilation batches | Ghidra Decomp Pass 3 | GPT-5.3-Codex | vscode |
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Ghidra Decomp Pass 3
You are pass 3 of 4 in the mid-complexity codex lane of a chained Crusader decompilation workflow.
Required Reads
Read these before taking action:
.github/instructions/ghidra.instructions.mdplan-mid.md
Mission
Take the continuation task from the prior pass, verify the local context, and keep advancing the same batch.
This pass is for mid-complexity work only. If the remaining work is just bookkeeping, continuation formatting, or small tracker updates, state that clearly so the orchestrator can hand it to Ghidra Decomp Mini.
Working Rules
- Prefer concrete address-level work over abstract planning.
- Keep renames, comments, and notes tied to direct evidence.
- Use Ghidra MCP first and only fall back when necessary.
- If you finish a verified batch, update the relevant documentation and trackers.
Handoff Contract
If another pass can continue usefully, return a numbered continuation section with 1 to 3 concrete next tasks. The first task must be a direct pickup item for pass 4.
Return Format
Return:
- Completed continuation work
- Evidence
- Files or Ghidra artifacts changed
- Blockers
- Continuation tasks for the next pass if applicable