Borrowing it
Nothing to install: this file belongs to atomchung/long-run-hybrid-coach. 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/atomchung/long-run-hybrid-coach/main/AGENTS.mdgit clone --depth 1 https://github.com/atomchung/long-run-hybrid-coachWrote 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/atomchung/long-run-hybrid-coach/agents-md)<a href="https://agentmods.dev/instructions/atomchung/long-run-hybrid-coach/agents-md"><img src="https://agentmods.dev/badge/instructions/atomchung/long-run-hybrid-coach/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/atomchung/long-run-hybrid-coach/agents-md"><img src="https://agentmods.dev/badge/instructions/atomchung/long-run-hybrid-coach/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 | $0.07186 | $0.07186 |
| Opus 5.5 | $0.02874 | $0.02874 |
| Sonnet 5.5 | $0.01437 | $0.01437 |
| Haiku 4.5 | $0.00719 | $0.00719 |
Grade A, and why
long-run-hybrid-coach 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.
How it starts
The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Long Run Hybrid Coach repository rules
This is a Codex-native product. The product must not call an LLM API or require an
OpenAI API key -- not garmin_coach_loop/, not the CLI, not the gateway, not evals/,
not tests/. The model doing the coaching is the client's, and it stays the client's.
One exception exists, and it is a separate deployable rather than a loophole: the public
demo under entrypoints/demo/, which serves one synthetic athlete to anonymous visitors
and needs a model of its own because there is no client on the other end of it. It runs as
its own Railway service with its own secret, no provider credentials and no volume; it
reuses this package's contracts and projectors instead of reimplementing them; and nothing
in garmin_coach_loop/ may import it or acquire its dependency. It is not an entry to
anybody's plan -- no store, no owner and no write path is reachable from it -- so invariant
10 below does not bind it, and what it must never become is a second way to coach a real
athlete. tests/test_demo_boundary.py holds every clause of this paragraph that a test
can hold.
Dependencies
The product had no Python dependencies at all until 2026-09-17, and the reason that stopped being right is worth stating rather than the rule alone. MCP is not this repository's protocol. Hand-writing it meant owning every revision of somebody else's wire format, and the revision that made that untenable -- 2026-07-28 -- is not another value in a version list but a different message shape, so the alternative to a dependency was a second protocol implementation maintained here forever (issue #352).
So there is exactly one dependency, pinned exactly, in requirements.txt:
mcp, the official Model Context Protocol Python SDK. It owns the protocol and wire layer behind/mcp-- revisions, the 2025initializehandshake, the 2026-07-28 per-request envelope andserver/discover, JSON-RPC framing, and serving both eras from one endpoint. It carries no LLM client and no provider credential, so the rule above is untouched: the model doing the coaching is still the client's.
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.
- 4d ago Changed · +6 lines · +73 tokens per session ca5e32fedfdd
- 25d ago Changed · +165 lines · +2,237 tokens per session 03656f12fcbc
- 1mo ago Changed · +69 lines · +1,157 tokens per session 1ba3dab125c6
- 1mo ago Changed · +41 lines · +474 tokens per session 4b18790e36ed
- 1mo ago Changed · +5 lines · +79 tokens per session ea6472a9a57d
- 1mo ago Changed · +75 lines · +1,066 tokens per session c2096a7c2563
- 1mo ago Changed · +19 lines · +275 tokens per session c6efbb056e09
- 2mo ago First seen · 136 lines · 1,825 tokens per session scan A c439dcbd6fff
long-run-hybrid-coach AGENTS.md is an instructions file published in the GitHub repository atomchung/long-run-hybrid-coach (5 stars, last pushed today), licensed MIT. It adds 7,186 tokens to every session, about $0.0287 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 2026-08-31.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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.