sm64ds-decomp — security grade SAFE, quality 68/100

Security audit verdict: SAFE · quality 68/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by tangosdev · Claude Skill · ★ 179

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is sm64ds-decomp safe to install? View the security audit →

About sm64ds-decomp

Super Mario 64 DS Decompilation (sm64ds-decomp) [![Discord Server][discord-badge]][discord] [discord]: https://discord.gg/JXckvdARc [discord-badge]: https://img.shields.io/discord/1520811338568569112?color=7289DA&logo=discord&logoColor=ffffff A from-scratch decompilation (decomp) of Super Mario 64 DS into matching C. New here? Start with CONTRIBUTING.md, coordinate work in CLAIMS.md, and if you review or merge PRs read MERGE.md. Progress Every arm-mode function in the game, drawn as a treemap. Each rectangle is one function sized by its byte count, green for matched and gray for unmatched, grouped by module. For an interactive version where you can hover any function for its name, address, size, and status, see the progress treemap on GitHub Pages. What "matching" means The goal is source code that, when compiled with the original toolchain, produces a binary byte-for-byte identical to the retail ROM. This is the same standard the N64 project holds to. Every matched function is checked against the ROM, so the source is known to be correct. Legal and scope This repo contains only origin

aiclaude-codedecompdecompilationmatching-decompilationmwccarmnintendo-dsreverse-engineeringsm64dssuper-mario-64-ds

Quick Facts

Stars179
Forks18
LanguageC++
CategoryClaude Skill
LicenseMIT
Quality Score68.2313011936008/100
Open Issues104
Last Updated2026-10-04
Created2026-06-14
Platformsclaude-code
Est. Tokens~19k

Compatible Skills

These tools work well together with sm64ds-decomp for enhanced workflows:

  • ZeusHammer — semantic(0.21)+complementary+similar_pop+shared_platform (47%)
  • RustyClaw — semantic(0.34)+complementary+similar_pop (47%)
  • perplexity-super-skills — semantic(0.20)+complementary+similar_pop+shared_platform (47%)
  • PerimeterX_RE — semantic(0.18)+complementary+similar_pop+shared_platform (46%)

sm64ds-decomp alternative? Top 6 similar tools

Looking for a sm64ds-decomp alternative? If you're comparing sm64ds-decomp with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is sm64ds-decomp?

sm64ds-decomp is From-scratch, byte-matching decompilation of Super Mario 64 DS into C/C++, with a live progress atlas and matching tools.. It is categorized as a Claude Skill with 179 GitHub stars.

What programming language is sm64ds-decomp written in?

sm64ds-decomp is primarily written in C++. It covers topics such as ai, claude-code, decomp.

How do I install or use sm64ds-decomp?

You can find installation instructions and usage details in the sm64ds-decomp GitHub repository at github.com/tangosdev/sm64ds-decomp. The project has 179 stars and 18 forks, indicating an active community.

What license does sm64ds-decomp use?

sm64ds-decomp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to sm64ds-decomp?

The top alternatives to sm64ds-decomp on Agent Skills Hub include jadx-mcp-server, apktool-mcp-server, kindly-web-search-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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