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.
npx agentmods add instructions/rshade/finfocus/geminigit clone --depth 1 https://github.com/rshade/finfocusWhat 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 | $0.00178 | $0.00178 |
| Opus 5 | $0.00089 | $0.00089 |
| Sonnet 5 | $0.00036 | $0.00036 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
.gemini 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.
What it actually says
Gemini Directory Instructions
This directory contains Gemini AI-specific configuration and commands. These files are used by Gemini AI tools and should not be modified or referenced in the main codebase.
Guidelines for this directory:
- Do not modify any files in this directory
- Do not reference files from this directory in code
- Do not commit changes to files in this directory
- Do not copy content from this directory to other locations
Purpose:
- Gemini AI tool configuration
- AI-specific command definitions
- Gemini workspace settings
- AI tool integration files
When working with Gemini files:
- Treat as read-only configuration
- Do not use as reference for main codebase patterns
- Ignore for code review and analysis
- Keep separate from development workflow
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 · 30 lines · 178 tokens per session scan A b7e711d4d4c6
.gemini is an instructions file published in the GitHub repository rshade/finfocus (5 stars, last pushed 16d ago), licensed Apache-2.0. It adds 178 tokens to every session, about $0.0009 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 2026-08-31.
Other instructions, from other repositories
costory-finops-mcp-skills AGENTS.md
AGENTS.md instructions for costory-io/costory-finops-mcp-skills, covering agents.md — conventions for ai coding agents in this repo, layout, skill id mapping (costory mcp), when changing a skill and when adding a new skill.
ai-pricing-hub-mcp CLAUDE.md
Claude Code instructions for OptimNow/ai-pricing-hub-mcp, covering claude.md - ai pricing hub mcp app, what this project does, architecture, data sources and the fallback chain and project structure.
ai-pricing-hub-mcp AGENTS.md
AGENTS.md instructions for OptimNow/ai-pricing-hub-mcp: Before writing code, first explore the project structure, then invoke the chatgpt-app-builder skill for documentation.
insideout-power AGENTS.md
Instructions for luthersystems/insideout-power, covering insideout — riley infrastructure agent, what riley can do for you, how to invoke riley, via remote mcp (preferred — use this first) and via agent skills.
cloud-mcp-server CLAUDE.md
Claude Code instructions for alexei-led/cloud-mcp-server, covering aws mcp server development guide, build & test commands, architecture, server (server.py) and sandbox (sandbox.py).
devopness AGENTS.md
Instructions for devopness/devopness, covering agents, core flow, shared constraints, monorepo structure and git workflow.