garmin-coach-loop

garmin-coach-loop is a skill for Codex from atomchung/long-run-hybrid-coach. It costs 225 tokens per session (2,319 once invoked), scanned A, original, MIT.

A running and strength coaching workflow based on recent Garmin or Intervals.icu training data. It keeps one current direction for the next 28 days.

In plain words
What is it for?
Use it to review progress toward a goal, plan a hybrid training week, decide what to do today, or preview and deliver a chosen workout.
Why use it?
It reduces conflicting training advice by comparing the planned and completed workouts with the latest recorded evidence.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to review progress toward a goal, plan a hybrid training week, decide what to do today, or preview and deliver a chosen workout.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/atomchung/long-run-hybrid-coach/garmin-coach-loop
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.

Any agent
npx skills add atomchung/long-run-hybrid-coach --skill garmin-coach-loop
Clone the repo
git clone --depth 1 https://github.com/atomchung/long-run-hybrid-coach

Made for: Codex.

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 garmin-coach-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop/github.svg)](https://agentmods.dev/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop)
Your own site
<a href="https://agentmods.dev/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop"><img src="https://agentmods.dev/badge/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop/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 garmin-coach-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop"><img src="https://agentmods.dev/badge/skills/atomchung/long-run-hybrid-coach/garmin-coach-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 225 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,319 The whole file, excluding the scripts and references it only reads on demand.
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 $0.00225 $0.02319
Opus 5 $0.00112 $0.01159
Sonnet 5 $0.00045 $0.00464
Haiku 4.5 $0.00022 $0.00232

Measured yesterday against content hash 2196a4e0c4ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

garmin-coach-loop 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 yesterday.

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/skills/garmin-coach-loop/SKILL.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Long Run Hybrid Coach

Maintain one goal-linked current PlanState. Start from stored state and fresh evidence, never conversation memory. Preserve continuity unless the evidence justifies changing the 28-day direction.

This file holds only what the product cannot tell you itself. Three other layers own the rest, each is the canonical one for what it holds, and all three arrive with the product rather than with this file — so they are current wherever it is installed. Most of it is already in front of you by the time you coach; fetch what a client has not put there rather than assuming it arrived:

  • The operations this entry exposes — the command surface, the delivery boundary, and the sequencing above them: which call answers a question, where exactly one confirmation stands before a write, and how to read a refusal. Their own descriptions, and the coach_orchestration prompt served beside them, are canonical for all of it.
  • The field descriptions in what comes back — where a field carries one, read it rather than inferring from the name; it is canonical and this file will not repeat it. Coverage is partial: most response fields are typed and undescribed today, so a name you cannot read confidently is an unknown to say out loud, never a meaning to guess at.
  • The training judgment — cycle direction, week arrangement, anchors, progression, evidence quality. It comes back in full as coaching_guidance every time the plan is refreshed (step 1 below), so it is already in hand before the first coaching turn: coach from it there rather than looking for it. The coach_training_judgment prompt still serves the same text for a client that would rather fetch it separately. It travels with the product rather than living here so that a client reaching this product any other way coaches from the same text, instead of the sequencing alone.

If those operations are not in front of you, the Skill is installed and the coach is not connected. This file is instructions and nothing else. The plan, the evidence, and every operation named above arrive over a connection, so until one exists there is nothing to read a plan from. Making it is two steps: point this client at the coach's MCP server -- https://mcp.paceandstaystrong.com/mcp, or the athlete's own gateway if they run one -- then complete one authorization at the training provider. Say exactly that and name both steps. How this client is pointed anywhere is its own business, so send them to https://paceandstaystrong.com/ for that part rather than guessing at a command. Answer nothing about training from this file in the meantime — a plan produced here would be invented rather than read, which is the one failure this file exists to prevent. Nothing below applies until a connection exists.

Read the full file on GitHub · 151 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · -16 lines 2196a4e0c4ac
  2. 2d ago Changed · +2 lines f0e9b0fc666c
  3. 11d ago First seen · 165 lines · 225 tokens per session scan A 0a79cf49ee03

Subscribe to this mod's changes

garmin-coach-loop is a skill published in the GitHub repository atomchung/long-run-hybrid-coach (4 stars, last pushed yesterday), licensed MIT. It adds 225 tokens to every session and 2,319 once invoked, about $0.0011 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.

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