What is kernelgen-flagos?

A tool for creating and improving GPU kernels, which are small programs that run calculations on a graphics processor. It supports Python and Triton projects, including FlagGems and vLLM, and can adapt kernels to other processor types.

Use it to generate new GPU operations, optimize existing Triton kernels, integrate them into FlagGems or vLLM, or adapt them for platforms such as Ascend NPUs.

It organizes the different steps needed to write, optimize, and adapt GPU code for a specific project or hardware target.

kernelgen-flagos — Skill for Claude Code by flagos-ai: A tool for creating and improving GPU kernels, which…

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods

npx agentmods add skills/flagos-ai/skills/kernelgen-flagos

Any agent

npx skills add flagos-ai/skills --skill kernelgen-flagos

Clone the repo

git clone --depth 1 https://github.com/flagos-ai/skills

Made for: Claude Code.

Or install flagos-skills, the plugin that ships this one along with the rest of its 13 skills, 1 agent.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/flagos-ai/skills/kernelgen-flagos.svg)](https://agentmods.dev/skills/flagos-ai/skills/kernelgen-flagos)

Your own site

<a href="https://agentmods.dev/skills/flagos-ai/skills/kernelgen-flagos"><img src="https://agentmods.dev/badge/skills/flagos-ai/skills/kernelgen-flagos.svg" alt="Measured on agentmods" height="20"></a>

Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,185 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00117	$0.02185
Opus 5	$0.00059	$0.01092
Sonnet 5	$0.00023	$0.00437
Haiku 4.5	$0.00012	$0.00218

Measured 6d ago against content hash 50034c395980, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

kernelgen-flagos scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/kernelgen-flagos/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kernelgen-flagos — Unified GPU Operator Generation Skill

This is a unified entry point that bundles generation and optimization sub-skills into one:

Sub-skill file	Purpose
Generation
`kernelgen-generate.md`	Generate GPU kernels for any Python/Triton repository
`kernelgen-generate-for-flaggems.md`	Specialized generation for FlagGems repositories
`kernelgen-generate-for-vllm.md`	Specialized generation for vLLM repositories
Optimization
`kernelgen-optimize.md`	Optimize existing Triton kernels via MCP iterative optimization (general purpose)
`kernelgen-optimize-for-flaggems.md`	Optimize Triton operators and integrate into FlagGems (3 modes: built-in/external/experimental)
`kernelgen-optimize-for-vllm.md`	Optimize Triton operators and integrate into vLLM (with CustomOp registration)
Platform Specialization
`kernelgen-specialize.md`	Specialize Triton operators to target platforms (e.g., GPU → Ascend NPU) via MCP `specialize_kernel`
`kernelgen-specialize-for-flaggems.md`	Platform specialization + FlagGems integration (4 modes: vendor-ops/vendor-fused/override-builtin/experimental)
MCP Configuration
`kernelgen-mcp-setup.md`	Check and auto-configure the `kernelgen-server` MCP service (URL built-in, user only provides Token)
Feedback
`kernelgen-submit-feedback.md`	Submit bug reports and feedback via GitHub or email

All sub-skill files are located in the same directory as this SKILL.md file.

Read the full file on GitHub · 215 lines

Files

What ships with it

13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

6d ago First seen · 215 lines · 117 tokens per session scan A 50034c395980

Subscribe to this mod's changes

kernelgen-flagos is a skill published in the GitHub repository flagos-ai/skills (19 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 117 tokens to every session and 2,185 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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