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/agents-mdgit clone --depth 1 https://github.com/ariaxhan/kernel-claudeWhat 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 | $0.06558 | $0.06558 |
| Opus 5 | $0.03279 | $0.03279 |
| Sonnet 5 | $0.01312 | $0.01312 |
| Haiku 4.5 | $0.00656 | $0.00656 |
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 2d 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 Copies of this mod
1 near-identical copy found in the catalogue:
- kernel-claude CLAUDE.md — 94% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 377 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.
- 2d ago First seen · 377 lines · 6,558 tokens per session scan A fa7d9a32602d
kernel-claude AGENTS.md is an instructions file published in the GitHub repository ariaxhan/kernel-claude (12 stars, last pushed 2d ago), licensed MIT. It adds 6,558 tokens to every session, about $0.0328 per session on Opus 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.
Other instructions, from other repositories
causal-memory CLAUDE.md
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.
m_flow AGENTS.md
AGENTS.md instructions for FlowElement-xinliuyuansu/m_flow, covering m-flow — developer & agent reference, 1. repository map, extension points, 2. local development and python backend (requires python 3.10 – 3.13).
autoharness AGENTS.md
Instructions for tigerless-labs/autoharness: This repo uses Open Knowledge — collaborative markdown via MCP. .open-knowledge/config.yml (with optional /.open-knowledge/config.yml; CLI/env may override) is the path contract: content.dir is the root for relative paths; content.include lists globs that add markdown…
memex GEMINI.md
Instructions for STiFLeR7/memex, covering memex, agent instructions, execution mode, non-negotiables and what is in scope.
second-brain AGENTS.md
Instructions for LindaHaviv/second-brain, covering instructions for ai coding agents, what to read first, the rules (non-negotiable), common tasks, the sanctioned way and enforcement, not just instructions.