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/build-artifactsgit 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 | $0.00264 | $0.00264 |
| Opus 5 | $0.00132 | $0.00132 |
| Sonnet 5 | $0.00053 | $0.00053 |
| Haiku 4.5 | $0.00026 | $0.00026 |
Grade A, and why
finfocus build-artifacts.instructions.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.
What it actually says
Build Artifacts and Dependencies Instructions
This covers build artifacts, dependencies, and version control files that should not be modified or analyzed.
Excluded paths:
**/vendor/**- Go vendor directory**/.git/**- Git repository metadata**/*.exe- Windows executables**/*.dll- Windows dynamic libraries**/*.so- Linux shared objects**/*.dylib- macOS dynamic libraries
Guidelines:
- Do not modify any files in these locations
- Do not analyze or review code in these directories
- Do not reference files from these locations
- Do not commit changes to these files
Purpose:
- Third-party dependencies (vendor/)
- Version control metadata (.git/)
- Compiled binaries and libraries
- Platform-specific executables
When working with these files:
- Treat as generated/readonly
- Dependencies are managed by go mod
- Binaries are built by CI/CD pipelines
- Git operations handle .git directory automatically
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 · 39 lines · 264 tokens per session scan A 9c866da3cc04
finfocus build-artifacts.instructions.md is an instructions file published in the GitHub repository rshade/finfocus (5 stars, last pushed 16d ago), licensed Apache-2.0. It adds 264 tokens to every session, about $0.0013 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
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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.
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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.