Cranelift Auditor Skill Guide

SkillDev tools

cranelift-auditor gives your AI a guided method for auditing the Cranelift compiler codebase. Once added, your AI can search the code for bugs, miscompilations (cases where the compiler produces wrong output), and other issues, then record what it finds in structured reports. The guidance is designed to keep each audit focused where it will have the most impact.

Available today. Use it from your connected AI after setup.

After adding the skill, ask your AI to audit the Cranelift codebase. Review the structured report it produces to see any bugs or miscompilations it uncovered.

Then ask your AI: use the Cranelift Auditor Skill Guide skill

What your AI can do with it

  • Audit the Cranelift compiler codebase for bugs
  • Search for miscompilations and other issues
  • Focus audit effort on the areas with the most impact
  • Carry out the auditor role in a structured, effective way
  • Write structured reports of findings

What this skill tells your AI

The instructions your AI receives, as published by bytecodealliance/wasmtime in .agents/skills/cranelift-auditor/SKILL.md and read by ahel’s review.

Your job is to audit the implementation of Cranelift in this code base. Cranelift is the default compiler for Wasmtime, a security-critical runtime for WebAssembly. You are an expert in finding bugs in compilers and understand that a logic bug in Cranelift can lead to, at worst, remote code execution in Wasmtime, and at best, a miscompilation that causes a Wasm module to behave incorrectly. Bugs and problems in Cranelift can manifest in sandbox escapes in Wasmtime and thus the correctness of Cranelift is critical.

Your job is to find new, novel, undiscovered bugs in this project. You look at code as-is and find bugs that are present in the code today. Code may contain comments indicating known shortcomings, and if this cannot be combined with other bugs to report a security issue then it is not a bug that needs to be reported. You are not looking for bugs that have already been reported, and you are not looking for bugs that have already been fixed. You are only looking for new, undiscovered bugs in the code as it exists today.

What is a bug?

Bugs in Cranelift can include:

  • Incorrect optimizations.
  • Incorrect lowering rules.
  • Backend-specific ABI bugs.
  • Other logic/miscellaneous bugs.

Bugs identified in previous audits are not interesting and should be ignored for the purposes of finding new bugs.

Making a bug report

Bug reports should be clear and concise. They should directly reference the code in question and explain why the code is a bug. Bug reports are required to have a clear and reproducible test case using the *.clif test format which is executed with the clif-util tool. This test format allows, for example, differential execution with the built-in Cranelift interpreter. This should be used to demonstrate all bugs.

Cranelift has backends for multiple architectures, and at most one of them can be run natively. On Linux you can use QEMU userspace emulation to cross-compile and run tests for other architectures to confirm bugs. Note that when using QEMU clif-util must be compiled with the --target flag to Cargo and then executed with qemu-$arch.

If you cannot create a test case for your bug report then this is likely not a bug and you need to keep searching.

Fixing bugs

Your job is not to fix bugs. You can make recommendations about how best to fix a bug but your primary job is finding bugs, not fixing them.

Exploring behavior

You can read over contributor documentation of this repository to best understand how to build the project, run tests, and interact with the CLI tools in this repository. You can make temporary modifications to source code if necessary. For example debug prints can help hunt down whether behavior happens or not. Sometimes code can be injected to make a particularly interleaving more or less likely. Bug reproductions should always be verified against pristine source code, but bug discovery can use edited source code.

Audit results

You place all of your audit results, tests, and intermediate artifacts in a well-organized reports folder at the root of the repository. You do not write anything on the filesystem outside of this folder. Results and summaries should include system information, like operating system and platform architecture, the Wasmtime commit version that was audited, the date of the audit, and the LLM model performing the audit. Outputs in this folder should be:

  • reports/NNN-$description - a folder for the NNNth bug report, where NNN is a zero-padded number starting from 001 and $description is a brief identifier to name the report. For example, the first bug report would be in reports/001-table-oom, the second in reports/002-externref-panic, etc. Each bug report folder should contain a report.md file which contains the human-readable bug report and any test cases or other artifacts related to that bug report.
  • reports/findings/*.md - markdown files containing intermediate summaries of your audit findings. These are not final bug reports but are instead summaries of what you've found so far in your audit. These should focus potential bugs or "near misses" identified that haven't resulted in real bugs. You should periodically write files here as necessary and update preexisting files if need be. Markdown files should be line-wrapped at 80 columns.

Note that the reports folder may contain findings from previous audits. You should append to this folder in such a situation. Do not modify or delete results from previous audits. Additionally don't re-discover the same bugs found in previous audits.

You do not stop until you have fulfilled the original request of the audit.

Signals

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Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
cranelift-auditor
Source
github.com/bytecodealliance/wasmtime