switchback-running: Instructions file for Gemini CLI

GEMINI.md

switchback-running GEMINI.md is an instructions file for Gemini CLI from rlacombe/switchback-running. It costs 1,657 tokens per session, scanned A, a copy of switchback-running AGENTS.md, MIT.

An instruction guide for an AI companion that helps athletes train for ultramarathons, races longer than the standard marathon distance. It sets the companion’s personality, data sources, and health-first coaching principles.

In plain words
What is it for?
Use it to interpret athlete data, discuss training and race choices, and recommend rest when the available information indicates a health risk.
Why use it?
It keeps advice grounded in the athlete’s actual measurements and makes injury prevention take priority over performance goals.

Instructions file for Gemini CLI

Written for Gemini CLI: the file is GEMINI.md. Also seen: mentions subagents.

This is rlacombe/switchback-running's own configuration. It tells Gemini CLI how to work on switchback-running 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 switchback-running configures →

Reuse

Borrowing it

Nothing to install: this file belongs to rlacombe/switchback-running. 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/rlacombe/switchback-running/main/GEMINI.md
Clone the repo
git clone --depth 1 https://github.com/rlacombe/switchback-running

Made for: Gemini CLI.

Wrote 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.

agentmods badge for switchback-running GEMINI.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/rlacombe/switchback-running/gemini-md/github.svg)](https://agentmods.dev/instructions/rlacombe/switchback-running/gemini-md)
Your own site
<a href="https://agentmods.dev/instructions/rlacombe/switchback-running/gemini-md"><img src="https://agentmods.dev/badge/instructions/rlacombe/switchback-running/gemini-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.

agentmods 80×15 button for switchback-running GEMINI.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/rlacombe/switchback-running/gemini-md"><img src="https://agentmods.dev/badge/instructions/rlacombe/switchback-running/gemini-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,657 This file is loaded in full into every session.
When invoked 1,657 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 98% copy Near-identical to another mod 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 $0.01657 $0.01657
Opus 5.5 $0.00663 $0.00663
Sonnet 5.5 $0.00331 $0.00331
Haiku 4.5 $0.00166 $0.00166

Measured 1mo ago against content hash 2dbbbc49474f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

switchback-running GEMINI.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 1mo 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.

Origin

This is a copy

98% identical to switchback-running AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

GEMINI.md · 157 lines

How it starts

The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Switchback Ultrarunning Companion

You are a long-horizon ultrarunning companion. Preserve the athlete's agency and long-term objective. Keep health ahead of performance; within that boundary, help them train seriously. Never call yourself their coach.

At startup, read athlete/checkpoint.md, SOUL.md (or SOUL.example.md), athlete/profile.md, and athlete/notes.md. Recover the active goal, prior decisions, open questions, preferences, and unresolved health or training constraints before giving consequential advice.

Resolve competing goals in this order: health and sustainable participation; long-term development; target events; the current block; today's workout.

Decision Kernel

Answer simple questions directly. For consequential decisions:

  1. Define the decision. Identify the immediate choice, its horizon, and the long-term goal it serves.
  2. Set minimum evidence. Identify only information that could change the answer, using the rules below.
  3. Retrieve athlete evidence first. Query preferences, plans, completed training, and current condition; then load a relevant skill or science source only when it supplies a needed procedure or interpretation.
  4. Resolve uncertainty. Check sources, dates, units, baselines, and completeness. Reconcile material conflicts or ask the athlete. Never assume missing data.
  5. Assess and decide. Separate observations and athlete reports from hypotheses. Apply health triage, then choose the least restrictive safe action that preserves the athlete's objective.
  6. Check the plan. Verify arithmetic, progression, duration, recovery, conditions, consistency with prior turns, and practical availability.
  7. Act honestly. Keep recommendations distinct from external actions. Mark actions as proposed, authorized, executed, or verified. Execute only authorized writes and read back the result.
  8. Remember selectively. Store durable observations, athlete reports, confirmed preferences, decisions, and lessons with dates and sources. Retain uncertainty, corrections, and superseded context.

Read the full file on GitHub · 157 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. 1mo ago Changed · -82 lines · -3,022 tokens per session 2dbbbc49474f
  2. 1mo ago Changed · +34 tokens per session 3d9d3a35c64d
  3. 1mo ago First seen · 239 lines · 4,645 tokens per session scan A bbad824ffb60

Subscribe to this mod's changes

switchback-running GEMINI.md is an instructions file published in the GitHub repository rlacombe/switchback-running (10 stars, last pushed 1mo ago), licensed MIT. It adds 1,657 tokens to every session, about $0.0066 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 98% identical to switchback-running AGENTS.md, differing in 0 lines, and is treated as a copy.

Related

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).

microsoft/vscode · 9,715 tokens

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.

vercel/next.js · 7,786 tokens

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).

microsoft/vscode · 5,262 tokens

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.

langchain-ai/langchain · 4,680 tokens

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).

microsoft/vscode · 2,731 tokens

deno copilot-instructions.md

Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.

denoland/deno · 3,077 tokens