agentic-config GEMINI.md

agentic-config GEMINI.md is an instructions file for Gemini CLI from WaterplanAI/agentic-config. It costs 3 tokens per session, scanned A, a copy of deepseek-harness CLAUDE.md, MIT.

Project instructions for `agentic-config`, a system for assembling AI workflows from reusable parts and extensions for coding agents.

In plain words
What is it for?
Use them when modifying or operating the WaterplanAI/agentic-config project.
Why use it?
They give the agent project-specific rules when working in that codebase.

Instructions file for Gemini CLI

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/waterplanai/agentic-config/gemini-md
Clone the repo
git clone --depth 1 https://github.com/WaterplanAI/agentic-config

Made for: Gemini CLI.

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 agentic-config GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/waterplanai/agentic-config/gemini-md.svg)](https://agentmods.dev/instructions/waterplanai/agentic-config/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/waterplanai/agentic-config/gemini-md"><img src="https://agentmods.dev/badge/instructions/waterplanai/agentic-config/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3 This file is loaded in full into every session.
When invoked 3 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00003 $0.00003
Opus 5 $0.00002 $0.00002
Sonnet 5 $0.00001 $0.00001
Haiku 4.5 $0.00000 $0.00000

Measured 5d ago against content hash a54ff182c7e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentic-config 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 5d 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.

Origin

This is a copy

100% identical to deepseek-harness CLAUDE.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 1 lines

What it actually says

AGENTS.md

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. 5d ago First seen · 1 lines · 3 tokens per session scan A a54ff182c7e8

Subscribe to this mod's changes

agentic-config GEMINI.md is an instructions file published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 3 tokens to every session, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to deepseek-harness CLAUDE.md, differing in 0 lines, and is treated as a copy.

Related

Other instructions, from other repositories

COG-second-brain CLAUDE.md

Instructions for huytieu/COG-second-brain, covering cog second brain — framework instructions, verification harness (opt-in, off by default), visual verification (always apply, ui/ux tasks), delegation cap (always apply) and model routing — always apply.

huytieu/COG-second-brain · 4,002 tokens

agentic-playwright skill-creator.instructions.md

Instructions for idavidov13/agentic-playwright, covering skill creator, communicating with the user, creating a skill, capture intent and interview and research.

idavidov13/agentic-playwright · 7,227 tokens

agentic-playwright common-tasks.instructions.md

Instructions for idavidov13/agentic-playwright, covering ai prompt templates for agentic playwright, critical, instructions, phase 1: identify the task category and resolve paths and phase 2: select and customize the matching prompt template.

idavidov13/agentic-playwright · 5,109 tokens

agentic-playwright debugging.instructions.md

Instructions for idavidov13/agentic-playwright, covering debugging, critical, capture defaults (this scaffold), built-in npm scripts for debugging and instructions.

idavidov13/agentic-playwright · 4,500 tokens

agentic-playwright ai-native-workflow.instructions.md

Instructions for idavidov13/agentic-playwright, covering ai-native workflow, critical, main workflow (8 phases), phase 4 — confidence-gate format (mandatory) and proposal.

idavidov13/agentic-playwright · 2,744 tokens

agentic-playwright data-strategy.instructions.md

Instructions for idavidov13/agentic-playwright, covering data strategy, critical, file locations, instructions and phase 1: classify the value you need.

idavidov13/agentic-playwright · 2,684 tokens