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Mlir Development

Checked
gmh5225·vlatest·backend·MIT

Mlir Development assists in building and debugging MLIR (Multi-Level Intermediate Representation) code, streamlining compiler development workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add gmh5225/awesome-llvm-security --skill mlir-development -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

gmh5225

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned gmh5225/awesome-llvm-security at dad2f21a55.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
dad2f21a55
Manifest
.claude/skills/mlir-development/SKILL.md
Scanned
1 file, 328 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables development and manipulation of MLIR (Multi-Level Intermediate Representation) code. It allows for creating, modifying, and analyzing programs represented in MLIR's structured intermediate language. The skill facilitates tasks like generating optimized code sequences and transforming existing MLIR modules.

When to use it

  • Compiler Development: When building or extending compilers that leverage MLIR as an intermediate representation.
  • Code Optimization: For experimenting with and implementing new optimization passes for MLIR-based programs.
  • Hardware Acceleration: To develop code targeting specialized hardware accelerators using MLIR's dialect system.
  • Research in Intermediate Representations: For researchers exploring novel compiler techniques and language designs within the MLIR framework.

Key capabilities

  • MLIR Code Generation
  • MLIR Module Manipulation
  • Dialect Definition (implied)
  • Optimization Pass Development

Example prompts

  • "Generate an MLIR module for a simple matrix multiplication."
  • "Modify this existing MLIR code to fuse these two operations."
  • "Analyze the performance of this MLIR pass on my target architecture."

Tips & gotchas

  • Requires familiarity with MLIR concepts and its dialect system. A basic understanding of compiler design is helpful for effective use.