fnr

fnr is a command for Claude Code from batmany13/about-me. It costs 17 tokens per session (268 once invoked), scanned A, original, no licence file.

A command for writing weekly Field Notes & Reflections about commits, events, and lessons from building a company.

In plain words
What is it for?
Use it to prepare the weekly Field Notes & Reflections entry. The input does not specify how it gathers or publishes the material.
Why use it?
It turns a week's work and experiences into a structured reflection instead of leaving them scattered across notes and repositories.

Command for Claude Code

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 commands/batmany13/about-me/fnr
Clone the repo
git clone --depth 1 https://github.com/batmany13/about-me

Made for: Claude Code.

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 fnr

README.md
[![agentmods](https://agentmods.dev/badge/commands/batmany13/about-me/fnr.svg)](https://agentmods.dev/commands/batmany13/about-me/fnr)
Your own site
<a href="https://agentmods.dev/commands/batmany13/about-me/fnr"><img src="https://agentmods.dev/badge/commands/batmany13/about-me/fnr.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 268 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00017 $0.00268
Opus 5 $0.00009 $0.00134
Sonnet 5 $0.00003 $0.00054
Haiku 4.5 $0.00002 $0.00027

Measured 4d ago against content hash 31f0caa131f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fnr 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 4d 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/commands/fnr.md · 15 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. 4d ago First seen · 15 lines · 17 tokens per session scan A 31f0caa131f2

Subscribe to this mod's changes

fnr is a command published in the GitHub repository batmany13/about-me (136 stars, last pushed 7d ago), with no licence file. It adds 17 tokens to every session and 268 once invoked, about $0.0001 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 2026-08-30.