mchs AGENTS.md

Project instructions for software that calculates health-service funding and activity costs using IHACPA National Weighted Activity Units, an Australian hospital funding measure.

In plain words
What is it for?
Checking Python code with Ruff, running tests with pytest, and understanding planned calculator features.
Why use it?
They keep code changes consistent by requiring Ruff checks, pytest tests, and review of the project's roadmap and pending work.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/edithatogo/mchs/agents-md
Clone the repo
git clone --depth 1 https://github.com/edithatogo/mchs

Made for: Codex, OpenCode.

Per session 86 This file is loaded in full into every session.
When invoked 86 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00086 $0.00086
Opus 5 $0.00043 $0.00043
Sonnet 5 $0.00017 $0.00017
Haiku 4.5 $0.00009 $0.00009

Measured 3d ago against content hash 17df0b8c311d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mchs 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 3d 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.

AGENTS.md · 11 lines

What it actually says

Coding Standards

  • Use Ruff for linting. Run ruff check . before committing.
  • Run the test suite with pytest.

Pending Work

Refer to ROADMAP.md and TODO.md for details on features that are still being implemented. In particular see the roadmap section "SAS feature parity for the 2025 calculators".

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. 3d ago First seen · 11 lines · 86 tokens per session scan A 17df0b8c311d

Subscribe to this mod's changes

mchs AGENTS.md is an instructions file published in the GitHub repository edithatogo/mchs (3 stars, last pushed 22d ago), licensed MIT. It adds 86 tokens to every session, about $0.0004 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.