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CAI
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heasm66/unz

46.9

Weak · 1 October 2026

6.5k

lines of production code

VB.NET

primary language

2

measurements over time

CAI band scale
CAI trend line
CAI lens gauges

What this system is

UnZ is a cross-platform command-line utility designed to unpack and inspect Z-machine game files (Z-code). It provides detailed analysis of game internals, including headers, objects, strings, and decompiled routines, while supporting multiple Z-machine versions and output formats. The tool is built on .NET and distributed as self-contained binaries for Windows, macOS, and Linux.

Features

Added publish profiles for .NET 7 and .NET 9 across multiple platforms

New MSBuild publish profiles have been added for SingleFile, self-contained deployments targeting Linux (arm, x64), macOS (x64), and Windows (arm, x64, x86). These profiles enable building optimized, single-file executables for these platforms, with the Linux x64, macOS x64, and Windows x64 profiles targeting .NET 9, while the remaining platforms target .NET 7. The Windows x64 profile includes additional performance optimizations such as Tiered PGO and Invariant Globalization.

UnZ/My Project · high confidence

Initial release of UnZ Z-machine unpacker

UnZ is a new command-line tool for unpacking and inspecting Z-machine game files (Z-code). It provides detailed views of game internals including headers, objects, strings, grammar, and decompiled Z-code routines, with support for multiple output syntaxes (TXD, Inform, ZAP, pseudo-code). The tool handles various Z-machine versions (6 and 7), supports UTF-8 output, and can process blorb files. It is available as a native binary for macOS (arm64/x64), Windows (x64/x86), and Linux (x64/arm64).

(repo-wide) · high confidence

UnZ tool introduces new Z-code parser and memory map analysis

The UnZ utility now includes a comprehensive Z-code parser (Decode.vb) and memory map analysis (MemoryMap.vb) that correctly calculates unpacking addresses for Z-machine versions 6 and 7, handling cases where the file offset (FOFF) differs from the string offset (SOFF). This enables accurate identification of code routines, strings, and global variables across various Z-machine versions, including support for Zilch, Zilf, Inform5, and Inform6 compilers. The tool also provides detailed memory layout information, helping users understand the structure of their Z-code files.

UnZ · high confidence

Dependencies

UnZ project targets .NET 10 and sets version 0.17

The UnZ application project file has been created to target the .NET 10.0 framework, establishing the runtime environment for the executable. The project metadata is configured with version 0.17 for the assembly, file, and package versions, and includes copyright information for the years 2021-2026.

(dependencies) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

How this codebase got here

Score

  • CAI 42 → 47 (+4.8)
  • Rubric changed (rubric-2026.09.11 → rubric-2026.09.18) — scores are not directly comparable.

Lenses

  • Code Health 75 → 75 (+0.0)
  • Architecture 96 → 98 (+1.3)
  • Maturity 32 → 50 (+18.0)
  • Readiness 23 → 23 (+0.0)
  • Security 100 → 100 (+0.0)

Findings

  • No change — the same findings as the prior survey.

Architecture

  • Unchanged — 1 containers · 0 contexts · 0 edges

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

Survey your own repository

heasm66/unz was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.

About this page

  • The score is its most recent published measurement, taken on 1 October 2026 at a pinned commit. It is not a live figure and does not change until the project is measured again.
  • Measured at commit 1b3f42049b5cc8b46d69f861f7bbcbad13236c7d — the exact code this score is about.
  • Scored under rubric-2026.09.18 — the same rubric and the same method as every other entry in this index.
  • Measured by watchdog.canine.dev using codehealth-analyzer preprod-e569280dd5e2.