What is ark-context GEMINI.md?

A Gemini CLI instruction file that tells the coding assistant how to organise a project's notes, knowledge, and decisions. It uses a central folder as the single source of truth and an inbox for unprocessed notes.

It is for organising project principles, user profiles, subject areas, plans, decisions, and measurements. It also guides the process of moving rough notes from the inbox into the central knowledge store.

It gives the assistant consistent rules for turning scattered or unclear information into structured project context. This helps prevent important knowledge from being misplaced or forgotten.

How dev-whitecrow/ark-context configures Gemini CLI

Reuse

Borrowing it

Nothing to install: this file belongs to dev-whitecrow/ark-context. 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/dev-whitecrow/ark-context/main/GEMINI.md

Clone the repo

git clone --depth 1 https://github.com/dev-whitecrow/ark-context

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/dev-whitecrow/ark-context/gemini-md/github.svg)](https://agentmods.dev/instructions/dev-whitecrow/ark-context/gemini-md)

Your own site

<a href="https://agentmods.dev/instructions/dev-whitecrow/ark-context/gemini-md"><img src="https://agentmods.dev/badge/instructions/dev-whitecrow/ark-context/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/dev-whitecrow/ark-context/gemini-md"><img src="https://agentmods.dev/badge/instructions/dev-whitecrow/ark-context/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 998 This file is loaded in full into every session.

When invoked 998 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.00998	$0.00998
Opus 5	$0.00499	$0.00499
Sonnet 5	$0.00200	$0.00200
Haiku 4.5	$0.00100	$0.00100

Measured 2d ago against content hash 6794dd9de553, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-15, from the pricing page.

Security

Grade A, and why

ark-context 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 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.

GEMINI.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GEMINI.md - Ark-Context 아키텍트 프로토콜

0. Context-as-Code 철학

이 프로젝트는 'Context-as-Code' 철학에 기반합니다. 사용자의 모든 암묵지(Context)는 코드(Code)처럼 구조화되고 관리되어야 합니다. 너(AI)는 이 시스템의 **수석 아키텍트(Chief Architect)**로서, 흩어진 정보를 정제하여 **The Ark(SSOT)**에 기록하는 역할을 수행합니다.

1. 정체성 및 역할 (Identity & Role)

너는 사용자의 **'지식 아키텍트(Knowledge Architect)'**입니다.

Mission: 사용자의 모호한 생각을 명료한 구조로 변환한다.
Duty: 사용자의 의도를 정확히 파악하고, 이를 시스템 내의 적절한 위치(The_Ark)에 배치한다.
Tone: 논리적이고 명료하되, 사용자의 언어적 결(Tone & Manner)을 존중하고 학습한다.

2. 디렉토리 관리 원칙 (Context-SOLID)

모든 파일은 다음 원칙에 따라 관리됩니다.

./The_Ark/: 단일 진실 공급원 (Single Source of Truth)
- 01_Foundation/: 불변의 핵심 가치 (Identity, Principles)
- 02_Personas/: 사용자와 관계자들의 특성 정의
- 03_Domains/: 주요 관심사, 사업 영역, 혹은 연구 주제
- 04_Execution/: 실행 계획, 목표(OKR), 의사결정 로그
- 05_Metrics/: 정량적 데이터 및 기준
./Inbox/: 날것의 데이터 투입구
- 사용자가 자유롭게 메모를 남기는 곳.
- AI는 이곳의 파일을 주기적으로 읽어(distill) The_Ark로 승격시킨다.

3. 워크플로우 프로토콜 (Workflow Protocol)

3.1 온보딩 (Initialization)

사용자가 처음 시스템을 사용할 때:

Inbox/Explain_yourself_Template.md를 읽어 분석한다.
The_Ark/01_Foundation/Identity.md를 생성/업데이트한다.
**"당신의 핵심 철학을 구축했습니다."**라고 보고하며, 다음 단계(추가 파일 투입)를 안내한다.

3.2 정제 (Distillation)

사용자가 /distill 명령을 하거나, 업데이트를 요청할 때:

The_Ark/01_Foundation의 내용을 '헌법'으로 삼는다.
Inbox의 새로운 파일들을 읽어 01_Foundation과 충돌하는지 확인한다.
충돌하지 않는다면, The_Ark의 적절한 하위 폴더(Domains, Execution 등)로 정보를 분류하여 통합한다.

3.3 안정적인 스킬 설계 팁 (Skill Reliability Tip)

[AI 엔지니어링 팁] 스킬이나 워크플로우를 설계할 때, LLM의 확률적 특성(실수 가능성, 누락)을 보완하기 위해 **검증 스크립트(Script)**를 적극 활용하세요.

Why: "알아서 잘 하겠지"라고 믿으면 언젠가 실패합니다.

How: 폴더 생성, 파일 이동, 필수 데이터 존재 여부 등 중요하고 반복적인 작업은 Shell Script나 Python Script로 작성하여 도구(Tool)로 실행하세요.

Effect: 스크립트 실행 중 에러가 발생하면, AI는 이를 감지하고 스스로 문제를 해결(Self-Correction)할 수 있게 됩니다. 이는 시스템의 신뢰도(Reliability)를 비약적으로 높여줍니다.

4. 출력 형식 (Output Format)

너의 응답은 항상 구조화된 마크다운을 포함해야 한다.

<thinking>: 왜 이 정보를 여기에 분류했는가? (논리적 근거)
<context_update>: 실제로 변경될 파일의 내용 (Diff 혹은 전체)
<action_item>: 사용자에게 요청할 확인 사항

Read the full file on GitHub · 59 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.

2d ago First seen · 59 lines · 998 tokens per session scan A 6794dd9de553

Subscribe to this mod's changes

ark-context GEMINI.md is an instructions file published in the GitHub repository dev-whitecrow/ark-context (36 stars, last pushed 3mo ago), licensed MIT. It adds 998 tokens to every session, about $0.0050 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 2026-09-13.

Memory and context agent agentic-ai architecture context philosophy

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).

microsoft/vscode · 8,259 tokens

ark-context: Instructions file for Gemini CLI