smart-gym-mcp: Instructions file for Codex

AGENTS.md

smart-gym-mcp AGENTS.md is an instructions file for Codex, OpenCode from sla1k/smart-gym-mcp. It costs 843 tokens per session, scanned A, original, MIT.

Repository instructions for the Smart Gym MCP project, including its architecture rules, source documents, live-data safeguards, and test practices. MCP is a way for an agent to use external tools through a standard interface.

In plain words
What is it for?
Use them when changing the project's tools, services, API client, routines, backups, branches, releases, or tests.
Why use it?
They prevent the agent from re-deriving settled decisions, writing to live training data unsafely, or making tests depend on the network.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is sla1k/smart-gym-mcp's own configuration. It tells Codex and OpenCode how to work on smart-gym-mcp 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 smart-gym-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to sla1k/smart-gym-mcp. 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/sla1k/smart-gym-mcp/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/sla1k/smart-gym-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 843 This file is loaded in full into every session.
When invoked 843 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 $0.00843 $0.00843
Opus 5.5 $0.00337 $0.00337
Sonnet 5.5 $0.00169 $0.00169
Haiku 4.5 $0.00084 $0.00084

Measured 4d ago against content hash b6968ce09373, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

smart-gym-mcp 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 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.

AGENTS.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Project knowledge lives in shared docs — read them, don't rediscover:

Working rules for this repo

  • Follow the architecture invariants in DESIGN.md exactly — especially: thin tools, every write through service.RoutineService, every edit of an existing routine through diff_routine.
  • The SmartGym account is the user's live personal training data. Live checks only on ZZ-prefixed throwaway routines, with the user confirming on the iPhone. Snapshots land in ~/.smartgym-mcp/backups/<ts>/.
  • Before trusting a NEW kind of server write, capture the app doing it first (golden fixture in tests/fixtures/api/) instead of assuming the wire shape.
  • Tests never touch the network or the account — use the fixtures and tests/fakes.FakeClient.
  • main takes no direct pushes: every change lands through a PR that is up to date with main and has a green ci check, merged by rebase (linear history, no merge commits).

Branches and PRs

  • One task per branch, worktree and PR.
  • Before the first push, name the branch type/short-description: type is one of feat, fix, docs, ci, refactor, test, chore; lowercase, words joined by hyphens; no agent or tool prefix. CI fails other names.
  • Name the branch before opening the PR; renaming it afterwards, locally or on GitHub, closes or orphans the PR.
  • Before pushing, run uv run ruff check src tests scripts/smoke_stdio.py, uv run ruff format --check src tests scripts/smoke_stdio.py, uv run mypy and uv run pytest — the same steps as CI. scripts/smoke_stdio.py otherwise runs only in the release build after the merge; scripts/spike/ holds throwaway capture scripts and stays unchecked.
  • The PR description says what changed, why, and how it was verified.
  • Update the branch from main before merging; rebase merge only.

Read the full file on GitHub · 54 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 Changed · -2 tokens per session b6968ce09373
  2. 6d ago Changed · +3 lines · +82 tokens per session 3c9c689ad972
  3. 10d ago First seen · 51 lines · 763 tokens per session scan A 55363e208cbd

Subscribe to this mod's changes

smart-gym-mcp AGENTS.md is an instructions file published in the GitHub repository sla1k/smart-gym-mcp (2 stars, last pushed yesterday), licensed MIT. It adds 843 tokens to every session, about $0.0034 per session on Opus 5.5. 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 2026-10-20.

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