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/agents-mdgit 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 | $0.01560 | $0.01560 |
| Opus 5 | $0.00780 | $0.00780 |
| Sonnet 5 | $0.00312 | $0.00312 |
| Haiku 4.5 | $0.00156 | $0.00156 |
Grade A, and why
finfocus AGENTS.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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Table of Contents:
- Project Snapshot
- Build, Lint, and Test Commands
- Go Formatting and Imports
- Types, Naming, and API Surface
- Error Handling and Control Flow
- Logging Expectations
- Testing Guidelines
- Testify Assertions (Required)
- Documentation and Markdown
- Commit and PR Guidance
- Security and Configuration
- Common Workflows
- Current Stack
- Cursor/Copilot Rules
- Active Technologies
- Recent Changes
Project Snapshot
- Go CLI for finfocus in
cmd/finfocuswith unexported logic ininternal/. - Fixtures live in
examples/,testdata/, andtest/e2e/fixtures/. - Docs are in
docs/; scripts inscripts/; build artifacts inbin/.
Build, Lint, and Test Commands
make build: Build thefinfocusbinary intobin/with version metadata.make run/make dev: Build then run the CLI;make inspectlaunches MCP inspector.make test|make test-race: Run unit tests (optionally with race detector).go test ./...: Run the full Go test suite.go test -run TestName ./path/to/package: Run a single test in one package.go test -v ./... -run TestFunc: Run a single test across all packages.make lint: Rungolangci-lintv2.12.2 plusmarkdownlint.make validate: Rungo mod tidy -diffandgo vetchecks.make docs-lint: Lint docs when editing Markdown.
Go Formatting and Imports
- Go 1.26.5+; use tabs for indentation and run
gofmton Go files. - Imports grouped as: standard library, third-party, internal packages.
goimports/golinesenforced viagolangci-lint; keep lines tidy.- Avoid
init()and global variables (lint rule). //nolint:linternameonly when required and with justification.
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 · 158 lines · 1,560 tokens per session scan A 7ec4288923da
finfocus AGENTS.md is an instructions file published in the GitHub repository rshade/finfocus (5 stars, last pushed 16d ago), licensed Apache-2.0. It adds 1,560 tokens to every session, about $0.0078 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).
langchain-aws AGENTS.md
Instructions for langchain-ai/langchain-aws, covering global development guidelines for the langchain monorepo, project architecture and context, langchain-aws structure, key components and langgraph-checkpoint-aws structure.