abf CLAUDE.md

abf CLAUDE.md is an instructions file for coding agents from alexclowe/abf. It costs 5,245 tokens per session, scanned A, original, no licence file.

A set of Claude Code instructions for the alexclowe/abf repository, explaining its agentic business framework, users, core building blocks, and technology choices.

In plain words
What is it for?
Use it when working with Claude Code on the abf project.
Why use it?
It gives Claude Code the project background needed to make changes that fit the repository’s purpose and structure.

Instructions file

Install

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.

agentmods
npx agentmods add instructions/alexclowe/abf/claude-md
Clone the repo
git clone --depth 1 https://github.com/alexclowe/abf

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 abf CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/alexclowe/abf/claude-md.svg)](https://agentmods.dev/instructions/alexclowe/abf/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/alexclowe/abf/claude-md"><img src="https://agentmods.dev/badge/instructions/alexclowe/abf/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 5,245 This file is loaded in full into every session.
When invoked 5,245 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.05245 $0.05245
Opus 5 $0.02622 $0.02622
Sonnet 5 $0.01049 $0.01049
Haiku 4.5 $0.00524 $0.00524

Measured 5d ago against content hash 6b3c0877ecee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

abf 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 5d 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.

CLAUDE.md · 403 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 403 lines · 5,245 tokens per session scan A 6b3c0877ecee

Subscribe to this mod's changes

abf CLAUDE.md is an instructions file published in the GitHub repository alexclowe/abf (0 stars, last pushed 26d ago), with no licence file. It adds 5,245 tokens to every session, about $0.0262 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 2026-08-31.