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/ariaxhan/kernel-claude/claude-mdgit clone --depth 1 https://github.com/ariaxhan/kernel-claudeWrote 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/ariaxhan/kernel-claude/claude-md)<a href="https://agentmods.dev/instructions/ariaxhan/kernel-claude/claude-md"><img src="https://agentmods.dev/badge/instructions/ariaxhan/kernel-claude/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 | $0.06181 | $0.06181 |
| Opus 5 | $0.03090 | $0.03090 |
| Sonnet 5 | $0.01236 | $0.01236 |
| Haiku 4.5 | $0.00618 | $0.00618 |
Grade A, and why
kernel-claude CLAUDE.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 today.
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 This is a copy
94% identical to kernel-claude AGENTS.md — 22 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 350 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.
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.
- today Changed · -27 lines · -385 tokens per session 941fc38b0805
- 4d ago First seen · 377 lines · 6,566 tokens per session scan A 03ff153e0a6a
kernel-claude CLAUDE.md is an instructions file published in the GitHub repository ariaxhan/kernel-claude (12 stars, last pushed today), licensed MIT. It adds 6,181 tokens to every session, about $0.0309 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 94% identical to kernel-claude AGENTS.md, differing in 22 lines, and is treated as a copy.
Other instructions, from other repositories
causal-memory CLAUDE.md
Claude Code instructions for JingxuanC/causal-memory, covering causal memory mcp integration, causal memory integration, after acting on a decision and observing the result, when something fails unexpectedly and when a recorded lesson turns out to be wrong.
sqlite-graph-memory AGENTS.md
Instructions for tonydzi/sqlite-graph-memory, covering agents.md — working in this repo, what this repo is, stack and layout, how to verify a change and conventions.
engraphis AGENTS.md
AGENTS.md instructions for Coding-Dev-Tools/engraphis, covering agents.md — engraphis, internal subagent delegation, 0. read this first — two architectures live in one package, 1. commands and ── unified dashboard + memory inspector ──.
honcho CLAUDE.md
Claude Code instructions for plastic-labs/honcho, covering claude.md, honcho overview, what is honcho?, core concepts and peer paradigm.
amfs CLAUDE.md
Instructions for raia-live/amfs, covering amfs memory — agent instructions, available mcp tools, identity, brain tools (agent-scoped) and shared knowledge tools.
docmancer copilot-instructions.md
Instructions for docmancer/docmancer, covering docmancer, workflow and core commands.