Borrowing it
Nothing to install: this file belongs to williamzujkowski/standards. 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/williamzujkowski/standards/master/GEMINI.mdgit clone --depth 1 https://github.com/williamzujkowski/standardsWrote 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/williamzujkowski/standards/gemini-md)<a href="https://agentmods.dev/instructions/williamzujkowski/standards/gemini-md"><img src="https://agentmods.dev/badge/instructions/williamzujkowski/standards/gemini-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/williamzujkowski/standards/gemini-md"><img src="https://agentmods.dev/badge/instructions/williamzujkowski/standards/gemini-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 | $0.00701 | $0.00701 |
| Opus 5.5 | $0.00280 | $0.00280 |
| Sonnet 5.5 | $0.00140 | $0.00140 |
| Haiku 4.5 | $0.00070 | $0.00070 |
Grade A, and why
standards GEMINI.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.
How it starts
The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEMINI.md
Project Overview
This repository contains a comprehensive set of software development standards and tools designed to kickstart new projects with industry best practices and NIST guidelines. It emphasizes a "skills-based" approach, allowing users to load only the necessary standards for their specific project, which significantly reduces the amount of information a developer or an AI assistant needs to process.
The project is heavily geared towards automation and integration with AI assistants, providing scripts and templates to generate project structures, configuration files, CI/CD pipelines, and more.
The core technologies used in this project are Python for scripting and automation, and Markdown for documentation. The standards themselves are technology-agnostic, but the examples and templates provided cover a wide range of technologies including Python, React, and various cloud services.
Building and Running
The project itself is not a library or application that you "run" in a traditional sense. Instead, it's a collection of standards, scripts, and templates.
Documentation
The documentation is built using MkDocs. To build and serve the documentation locally:
# Install dependencies
pip install -r requirements.txt
# Serve documentation locally (with live reload)
mkdocs serve
Scripts
The scripts/ directory contains numerous Python and shell scripts for various tasks. The most important one is the skill-loader.py script, which is used to load and recommend "skills" for a project.
# Get skill recommendations for your project
python3 scripts/skill-loader.py recommend ./
# Load recommended skills
python3 scripts/skill-loader.py load product:api
Development Conventions
The project has a very strong set of development conventions, enforced by a comprehensive set of pre-commit hooks.
- Code Formatting:
blackfor Python,prettierfor JSON, andmarkdownlintfor Markdown. - Linting:
rufffor Python,eslintfor JavaScript/TypeScript, andshellcheckfor shell scripts. - Security:
gitleaksfor secret detection. - Testing:
pytestis used for testing the Python scripts. - Pre-commit Hooks: A wide range of pre-commit hooks are defined in
.pre-commit-config.yamlto enforce formatting, linting, and security checks before committing code.
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.
- yesterday First seen · 57 lines · 701 tokens per session scan A 389d53ee7c1c
standards GEMINI.md is an instructions file published in the GitHub repository williamzujkowski/standards (18 stars, last pushed 1mo ago), licensed MIT. It adds 701 tokens to every session, about $0.0028 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 2026-09-29.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).