What is gymcraft AGENTS.md?

Project-specific instructions for the gymcraft code repository, including its commands, structure, and known pitfalls. On Windows, they specify using the Gradle wrapper through PowerShell.

Use them when working on gymcraft, especially when building or testing it on Windows.

They give a coding agent the repository rules it needs to run commands and make changes in the expected way.

How slk3hdio/gymcraft configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to slk3hdio/gymcraft. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/slk3hdio/gymcraft/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/slk3hdio/gymcraft

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/slk3hdio/gymcraft/agents-md/github.svg)](https://agentmods.dev/instructions/slk3hdio/gymcraft/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/slk3hdio/gymcraft/agents-md"><img src="https://agentmods.dev/badge/instructions/slk3hdio/gymcraft/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/slk3hdio/gymcraft/agents-md"><img src="https://agentmods.dev/badge/instructions/slk3hdio/gymcraft/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 7,172 This file is loaded in full into every session.

When invoked 7,172 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.07172	$0.07172
Opus 5.5	$0.02869	$0.02869
Sonnet 5.5	$0.01434	$0.01434
Haiku 4.5	$0.00717	$0.00717

Measured 2d ago against content hash 1d307b4cf5d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gymcraft 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 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.

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 · 70 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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.

2d ago Changed · +1 lines · +361 tokens per session 1d307b4cf5d5
8d ago Changed · +1 lines · +196 tokens per session 94c03a7152b4
15d ago Changed · +1 lines · +970 tokens per session 47f60445f366
17d ago First seen · 67 lines · 5,645 tokens per session scan A 1a6ec1adf190

Subscribe to this mod's changes

gymcraft AGENTS.md is an instructions file published in the GitHub repository slk3hdio/gymcraft (14 stars, last pushed 2d ago), with no licence file. It adds 7,172 tokens to every session, about $0.0287 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 2026-10-20.

Kotlin and Swift Languages Project management

gymcraft AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
gymcraft AGENTS.mdslk3hdio/gymcraft	Instructions file	14	2d ago	none	A	7,172	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

gymcraft: Instructions file for Codex