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.
npx agentmods add instructions/tensormux/kernel-skills/claude-mdgit clone --depth 1 https://github.com/tensormux/kernel-skillsWrote 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.
[](https://agentmods.dev/instructions/tensormux/kernel-skills/claude-md)<a href="https://agentmods.dev/instructions/tensormux/kernel-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/tensormux/kernel-skills/claude-md.svg" alt="Measured on agentmods" height="20"></a>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 | $0.04586 | $0.04586 |
| Opus 5 | $0.02293 | $0.02293 |
| Sonnet 5 | $0.00917 | $0.00917 |
| Haiku 4.5 | $0.00459 | $0.00459 |
Grade A, and why
kernel-skills CLAUDE.md 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.
How it starts
The opening of the file, as written. The whole thing — 718 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
kernel-skills
Repository mission
kernel-skills is an open source repository of extremely high quality skill files for AI coding agents.
The purpose of this repository is to help agents write better compute kernels across CUDA, Triton, quantization-oriented kernels, and core optimization patterns. This repository is not a runtime, framework, package manager, or MCP server in its first iteration. It is a curated and disciplined library of SKILL.md files that agents and humans can directly use.
The repository must be public, contribution-friendly, easy to browse, and immediately useful without any tooling beyond reading and copying Markdown files.
The central principle is simple:
Every skill in this repository must materially improve the quality, correctness, and performance-awareness of kernel code produced by an AI agent.
What this repository is
This repository is:
- a library of structured
SKILL.mdfiles - focused on kernel engineering for AI and high performance numerics
- designed for use with coding agents like Claude Code, ChatGPT, Cursor, Gemini CLI, Codex, and similar tools
- optimized for practical reuse and public OSS contribution
- strict about quality, technical accuracy, and clarity
This repository is not:
- a kernel runtime
- a benchmark harness platform
- an MCP integration project
- a code execution framework
- a dumping ground for vague prompts
- a tutorial-only repo
- a place for low-quality or repetitive skills
Product scope for v1
Focus only on skills.
Do not build packaging systems, CLI tools, MCP servers, benchmark runners, or automation infrastructure in the first iteration unless absolutely required for basic repo hygiene.
The first version should prove one thing:
well-authored skill files can help AI agents produce significantly better kernel code
Core outcome we want
A user should be able to open any skill in this repository, paste it into their agent workflow, and get a much better result than they would get from a generic prompt.
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 · 718 lines · 4,586 tokens per session scan A 0053db5c18eb
kernel-skills CLAUDE.md is an instructions file published in the GitHub repository tensormux/kernel-skills (73 stars, last pushed 2mo ago), licensed MIT. It adds 4,586 tokens to every session, about $0.0229 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.
Other instructions, from other repositories
plan-forge database.instructions.md
Database patterns for .NET — Dapper/EF Core, parameterized queries, migration strategy.
nbp-skillforge AGENTS.md
Instructions for nbpadilha/nbp-skillforge, covering agents.md, what this is, the one rule that matters, before you finish a change and conventions.
AmbyKit CLAUDE.md
Claude Code instructions for ambystechcom/AmbyKit, covering claude code — notes for the ambykit repo and claude-specific.
pixcode AGENTS.md
AGENTS.md instructions for alicomert/pixcode, covering agents.md, commands, smoke tests (manual, no npm script), architecture boundaries and agent adapters.
nextjs-skills CLAUDE.md
Instructions for mohamed-hossam1/nextjs-skills: All contribution rules — style, naming, file layout, verification — live in AGENTS.md. Read that first.
humanfile copilot-instructions.md
Instructions for zhangyu94/humanfile, covering .human file boundaries, rules and behavior.