file_utils AGENTS.md

Instructions for AI agents contributing to the file_utils MCP project, a tool for reading files. They define the required development commands, workflow, planning, and limits on file changes.

In plain words
What is it for?
Use them when changing the project to choose uv commands, review its specifications and task plan, record completed work, and limit each file write to 500 lines.
Why use it?
They keep contributions consistent with the project's environment and reduce mistakes such as using the wrong Python tools or making oversized edits.

Instructions file for CodexOpenCode

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/jel-ll/file_utils/agents-md
Clone the repo
git clone --depth 1 https://github.com/JEL-LL/file_utils

Made for: Codex, OpenCode.

Per session 719 This file is loaded in full into every session.
When invoked 719 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00719 $0.00719
Opus 5 $0.00360 $0.00360
Sonnet 5 $0.00144 $0.00144
Haiku 4.5 $0.00072 $0.00072

Measured yesterday against content hash c6a6e9ab9590, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

file_utils AGENTS.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 yesterday.

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.

AGENTS.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Conventions for AI agents working in this repo

This file documents the working conventions any AI agent (or human) must follow when making changes in the file_utils MCP project. Read it before starting work. See SPEC.md for the design and TODO.md for the phased implementation plan.


1. Always use uv

This project is managed with uv. Do not call python, pip, or pytest directly — always go through uv so the correct environment and dependencies (from pyproject.toml) are used.

uv installs to C:\Users\<you>\.local\bin (added to PATH by the installer). A newly opened terminal will have uv / uvx on PATH; an already-open terminal may need to be reopened first. If uv is not yet installed, install it with the official Astral installer:

powershell -ExecutionPolicy ByPass -Command "irm https://astral.sh/uv/install.ps1 | iex"

Common commands:

Task Command
Run the server uv run server.py
Run the test suite uv run --extra dev pytest
Run tests quietly uv run --extra dev pytest -q
Add a dependency uv add <package>
Sync the environment uv sync --extra dev

Note: system commands are issued in cmd, not PowerShell (except the one-off uv install command above, which uses PowerShell explicitly).


2. Check in changes after each completed task

After each task/phase from TODO.md is complete and verified (tests green via uv run --extra dev pytest), commit the changes to version control before moving on. Keep commits scoped to one logical task so history maps cleanly onto the phased plan.

Typical flow once a task is done:

git add -A
git commit -m "Phase N: <short description of what was completed>"

Guidelines:

  • Commit only after the relevant tests pass.
  • Use a clear, present-tense message referencing the phase/task.
  • Update the corresponding checkbox in TODO.md in the same commit.
  • Do not bundle unrelated changes into a single commit.

Read the full file on GitHub · 79 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. yesterday First seen · 79 lines · 719 tokens per session scan A c6a6e9ab9590

Subscribe to this mod's changes

file_utils AGENTS.md is an instructions file published in the GitHub repository JEL-LL/file_utils (0 stars, last pushed 21d ago), licensed MIT. It adds 719 tokens to every session, about $0.0036 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.

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