Borrowing it
Nothing to install: this file belongs to JEL-LL/file_utils. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/JEL-LL/file_utils/main/AGENTS.mdgit clone --depth 1 https://github.com/JEL-LL/file_utilsWrote 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/jel-ll/file_utils/agents-md)<a href="https://agentmods.dev/instructions/jel-ll/file_utils/agents-md"><img src="https://agentmods.dev/badge/instructions/jel-ll/file_utils/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/jel-ll/file_utils/agents-md"><img src="https://agentmods.dev/badge/instructions/jel-ll/file_utils/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00719 | $0.00719 |
| Opus 5.5 | $0.00288 | $0.00288 |
| Sonnet 5.5 | $0.00144 | $0.00144 |
| Haiku 4.5 | $0.00072 | $0.00072 |
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 2mo 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.
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
uvinstall 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.mdin the same commit. - Do not bundle unrelated changes into a single commit.
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.
- 2mo ago First seen · 79 lines · 719 tokens per session scan A c6a6e9ab9590
file_utils AGENTS.md is an instructions file published in the GitHub repository JEL-LL/file_utils (0 stars, last pushed 3mo ago), licensed MIT. It adds 719 tokens to every session, about $0.0029 per session on Opus 5.5. 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.
file_utils AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| file_utils AGENTS.mdJEL-LL/file_utils | Instructions file | 0 | 3mo ago | MIT | A | 719 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,685 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |