Borrowing it
Nothing to install: this file belongs to gCuadros/hevy-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.
curl -O https://raw.githubusercontent.com/gCuadros/hevy-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/gCuadros/hevy-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/gcuadros/hevy-mcp/agents-md)<a href="https://agentmods.dev/instructions/gcuadros/hevy-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/gcuadros/hevy-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/gcuadros/hevy-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/gcuadros/hevy-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04744 | $0.04744 |
| Opus 5 | $0.02372 | $0.02372 |
| Sonnet 5 | $0.00949 | $0.00949 |
| Haiku 4.5 | $0.00474 | $0.00474 |
Grade C, and why
hevy-mcp AGENTS.md scanned grade C with 1 finding 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 8d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
yarn build # rm -rf dist && tsc -p tsconfig.build.json How it starts
The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI coding agents working in this repository. This file is the single
source of truth; CLAUDE.md and .github/copilot-instructions.md only point back here.
Subdirectories with rules of their own carry a nested AGENTS.md — read it when you
touch that directory.
What this project is
hevy-coach-mcp is an MCP server that gives an AI
assistant access to a user's Hevy training log, and computes
the analytics on top of it: estimated 1RM, PRs, volume per muscle group, consistency,
period-over-period comparison.
The guiding principle, which explains most of the design: the server computes the
numbers, the model makes the judgements. All arithmetic lives in src/engine/ as a
pure library, tested against fixtures, with no I/O. The assistant never does maths on
training data — it interprets results it was handed. If you find yourself moving a
calculation into a tool description or expecting the model to add things up, you have
broken the core contract.
Requires Hevy PRO, which is what unlocks Hevy's API.
Validate your changes
There is no linter and no formatter in this repo. yarn lint does not exist — do not
run it. A change is validated when all three of these pass:
yarn typecheck # tsc --noEmit
yarn test # vitest run
yarn build # rm -rf dist && tsc -p tsconfig.build.json
Run all three before you call any task finished. CI (.github/workflows/ci.yml) runs
exactly the same three, then packs the tarball and asserts what is inside it: that
dist/stdio.js is present and still has its shebang, and that no compiled test or
dist/store/ came along. That step needs nothing from you locally — it guards a mistake
that is invisible until someone opens the published package.
CI has a second job, changeset, which fails when a pull request adds no changeset. It
is not a required check, because docs-only and chore branches have nothing to
announce: add the changeset, or label the pull request no-changeset.
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.
- 8d ago First seen · 344 lines · 4,744 tokens per session scan C 31938c4178c8
hevy-mcp AGENTS.md is an instructions file published in the GitHub repository gCuadros/hevy-mcp (1 stars, last pushed 8d ago), licensed MIT. It adds 4,744 tokens to every session, about $0.0237 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.