Borrowing it
Nothing to install: this file belongs to mit-han-lab/kernel-design-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mit-han-lab/kernel-design-agents/main/CLAUDE.mdgit clone --depth 1 https://github.com/mit-han-lab/kernel-design-agentsWrote 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/mit-han-lab/kernel-design-agents/claude-md)<a href="https://agentmods.dev/instructions/mit-han-lab/kernel-design-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/mit-han-lab/kernel-design-agents/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/mit-han-lab/kernel-design-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/mit-han-lab/kernel-design-agents/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00319 | $0.00319 |
| Opus 5.5 | $0.00128 | $0.00128 |
| Sonnet 5.5 | $0.00064 | $0.00064 |
| Haiku 4.5 | $0.00032 | $0.00032 |
Grade A, and why
kernel-design-agents 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 2mo 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.
What it actually says
Agent Instructions
This repository is the generic Kernel Design Agents workflow reference. It should stay small and task-agnostic.
Repository Rules
- Use English for repository-facing files, comments, documentation, prompts, and commit messages.
- Keep task-specific prompts, datasets, validators, generated implementations, benchmark logs, and candidate artifacts out of this repository.
- Treat benchmark competitions, including MLSys-style work, as downstream applications of KDA rather than as the scope of this repository.
- Put generated outputs in
runs/,outputs/, orprofile/; these paths are ignored by git. - Prefer documenting reusable workflow mechanics over documenting one task's private harness or acceptance thresholds.
Expected Agent Workflow
For a new task:
- Create or enter a separate implementation workspace.
- Define the task objective, constraints, validation command, and promotion criteria.
- Use
prompts/basic-flow.mdas the starter prompt. - Read local task code and documentation before proposing implementation changes.
- Write the initial plan draft to
docs/draft.mdinside the task workspace. - Convert the draft into an executable plan.
- Implement in small iterations, validating each meaningful candidate.
- Record candidate relationships, evaluation results, and profiling evidence when applicable.
- Keep this repository focused on the reusable flow.
Optional Skills
Use external skills only when they are relevant to the active task:
humanizefor plan generation and implementation loops.- A domain knowledge skill for background research.
- A profiling or report-analysis skill for performance evidence.
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.
- 2mo ago First seen · 34 lines · 319 tokens per session scan A c33c2d34d27f
kernel-design-agents CLAUDE.md is an instructions file published in the GitHub repository mit-han-lab/kernel-design-agents (1,406 stars, last pushed 1mo ago), with no licence file. It adds 319 tokens to every session, about $0.0013 per session on Opus 5.5. 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.
kernel-design-agents CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| kernel-design-agents CLAUDE.mdmit-han-lab/kernel-design-agents | Instructions file | 1.4k | 1mo ago | none | A | 319 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |