thinkhaven: Instructions file for Gemini CLI

GEMINI.md

thinkhaven GEMINI.md is an instructions file for Gemini CLI from hollandkevint/thinkhaven. It costs 942 tokens per session, scanned A, original, Apache-2.0.

A set of instructions for configuring an AI coding assistant in the ThinkHaven project, including its workflows, project context, and knowledge records.

In plain words
What is it for?
Use it to guide exploration, planning, implementation, reviews, problem documentation, and project cleanup.
Why use it?
It gives the assistant consistent rules for navigating the project and preserving useful decisions between sessions.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md.

This is hollandkevint/thinkhaven's own configuration. It tells Gemini CLI how to work on thinkhaven itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything thinkhaven configures →

Reuse

Borrowing it

Nothing to install: this file belongs to hollandkevint/thinkhaven. 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/hollandkevint/thinkhaven/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/hollandkevint/thinkhaven

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 thinkhaven GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/hollandkevint/thinkhaven/gemini-md.svg)](https://agentmods.dev/instructions/hollandkevint/thinkhaven/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/hollandkevint/thinkhaven/gemini-md"><img src="https://agentmods.dev/badge/instructions/hollandkevint/thinkhaven/gemini-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 942 This file is loaded in full into every session.
When invoked 942 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00942 $0.00942
Opus 5 $0.00471 $0.00471
Sonnet 5 $0.00188 $0.00188
Haiku 4.5 $0.00094 $0.00094

Measured 4d ago against content hash d7cb82f801a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

thinkhaven 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 4d 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 · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Compound Project - Agent Configuration

Project Overview

This project implements the Compound Learning System for thinkhaven - a self-improving knowledge system based on the "Compounding Engineering" philosophy.

Core Principle

Each unit of engineering work should make subsequent units of work easier—not harder.

Workflows Available

Full index: See .agent/workflows/README.md for all commands and quick start guide.

Use these commands for systematic development:

Command When
/explore Deep investigation before planning
/specs Before multi-week initiatives
/plan Before starting significant work
/work Execute plans systematically
/review Before merging, self-review
/compound After solving problems ("that worked!")
/housekeeping Before git push (cleanup & archive)

Knowledge Persistence

Solutions are documented in docs/solutions/ and explorations in docs/explorations/ with:

  • YAML frontmatter for searchability
  • Categorized by problem type
  • Schema validated (schema.yaml)

Before solving a problem: Search docs/solutions/ and docs/explorations/ for prior knowledge.

After solving a problem: Run /compound to document it.

Compounding Loop

/explore (optional) → /specs (large) → /plan (per phase) → /work → /review → /compound → /housekeeping → repeat

Important Directories

.agent/workflows/     # All workflow commands
docs/solutions/       # Persistent knowledge base
docs/explorations/    # Deep investigations & research
docs/decisions/       # Project-wide ADRs
├── patterns/         # Critical patterns (READ FIRST)
├── schema.yaml       # Validation schema
└── {categories}/     # Categorized solutions
docs/features/        # Feature documentation (New features, READMEs)
skills/               # Modular capabilities
├── file-todos/       # Todo management
├── compound-docs/    # Solution documentation
└── session-resume/   # Context resume
plans/                # Implementation plans from /plan
├── archive/          # Completed plans
todos/                # Work items from /review
├── archive/          # Completed todos
docs/specs/           # Multi-session specifications
├── archive/          # Completed specs

Read the full file on GitHub · 84 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.

  1. 4d ago First seen · 84 lines · 942 tokens per session scan A d7cb82f801a8

Subscribe to this mod's changes

thinkhaven GEMINI.md is an instructions file published in the GitHub repository hollandkevint/thinkhaven (5 stars, last pushed 8d ago), licensed Apache-2.0. It adds 942 tokens to every session, about $0.0047 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 2026-09-03.

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