kernel-claude: Instructions file for Claude Code

AGENTS.md

kernel-claude AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from ariaxhan/kernel-claude. It costs 6,690 tokens per session, scanned A, original, MIT.

Instructions for kernel-claude, a project where Claude Code uses persistent memory, multiple agents, and experiments to test which instructions improve its work.

In plain words
What is it for?
Use them when working on kernel-claude tasks that involve memory recall, risk assessment, implementation, delegation, or new failures.
Why use it?
They tell the agent when to recall stored project knowledge, how to judge the risk of a change, and when to break a task into parts before implementing it.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: SessionEnd hook event, but also the file is AGENTS.md. Also seen: mentions subagents; names the AskUserQuestion tool; mentions AGENTS.md.

This is ariaxhan/kernel-claude's own configuration. It tells Claude Code, Codex and OpenCode how to work on kernel-claude itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything kernel-claude configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ariaxhan/kernel-claude. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ariaxhan/kernel-claude/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ariaxhan/kernel-claude

Made for: Claude Code, Codex, OpenCode.

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.

agentmods badge for kernel-claude AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ariaxhan/kernel-claude/agents-md/github.svg)](https://agentmods.dev/instructions/ariaxhan/kernel-claude/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ariaxhan/kernel-claude/agents-md"><img src="https://agentmods.dev/badge/instructions/ariaxhan/kernel-claude/agents-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.

agentmods 80×15 button for kernel-claude AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/ariaxhan/kernel-claude/agents-md"><img src="https://agentmods.dev/badge/instructions/ariaxhan/kernel-claude/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 6,690 This file is loaded in full into every session.
When invoked 6,690 The same file — it is already loaded in full.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.06690 $0.06690
Opus 5.5 $0.02676 $0.02676
Sonnet 5.5 $0.01338 $0.01338
Haiku 4.5 $0.00669 $0.00669

Measured 1mo ago against content hash a5f714bf8cf6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kernel-claude AGENTS.md scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

<block action="report_done_off_commit">"Done" = verified live, not committed. Committed ≠ pushed ≠ deployed ≠ working. Run a verification command (deploy check, curl the served asset, the passing test, the exercised path
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 375 lines

How it starts

The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Location: _meta/agentdb/agent.db Use concrete task nouns, library/subsystem names, discovered paths/symbols, and exact errors or desired outcomes. Recall again after repo inspection reveals better terms, when scope or hypothesis changes, and whenever a new failure appears.

Tier by reversibility × silence × blast radius. File count is only a weak hint. Ambiguous = assume higher tier. Recall from AgentDB at every tier. Implement inline by default; delegate to agents only when the work is heavy and file-disjoint, explicitly requested, or needs independent verification. IF tier >= 2: run $kernel:tearitapart before implementation.

Read the full file on GitHub · 375 lines

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.

  1. 1mo ago Changed · -1 tokens per session a5f714bf8cf6
  2. 1mo ago Changed 517dadf9092c
  3. 1mo ago Changed 8f87b3a213ea
  4. 1mo ago Changed · +25 lines · +517 tokens per session 049cca67a095
  5. 1mo ago Changed · +1 tokens per session f8748717b573
  6. 1mo ago Changed · -27 lines · -385 tokens per session f093b42afcc2
  7. 1mo ago First seen · 377 lines · 6,558 tokens per session scan A fa7d9a32602d

Subscribe to this mod's changes

kernel-claude AGENTS.md is an instructions file published in the GitHub repository ariaxhan/kernel-claude (14 stars, last pushed yesterday), licensed MIT. It adds 6,690 tokens to every session, about $0.0268 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other instructions, from other repositories

vscode buildNext.instructions.md

Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).

microsoft/vscode · 9,715 tokens

next.js AGENTS.md

AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.

vercel/next.js · 7,581 tokens

vscode oss-third-party-notices.instructions.md

Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 tokens

langchain AGENTS.md

AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.

langchain-ai/langchain · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,261 tokens