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.
npx skills add TolmachevKirill/garmin_ai --skill garmin-healthgit clone --depth 1 https://github.com/TolmachevKirill/garmin_aiWrote 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/skills/tolmachevkirill/garmin_ai/garmin-health)<a href="https://agentmods.dev/skills/tolmachevkirill/garmin_ai/garmin-health"><img src="https://agentmods.dev/badge/skills/tolmachevkirill/garmin_ai/garmin-health/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/skills/tolmachevkirill/garmin_ai/garmin-health"><img src="https://agentmods.dev/badge/skills/tolmachevkirill/garmin_ai/garmin-health.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 | $0.00142 | $0.03069 |
| Opus 5 | $0.00071 | $0.01535 |
| Sonnet 5 | $0.00028 | $0.00614 |
| Haiku 4.5 | $0.00014 | $0.00307 |
Grade A, and why
garmin-health 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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 12d ago First seen · 228 lines · 142 tokens per session scan A 18e417676b1f
garmin-health is a skill published in the GitHub repository TolmachevKirill/garmin_ai (5 stars, last pushed 23d ago), with no licence file. It adds 142 tokens to every session and 3,069 once invoked, about $0.0007 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.
Other skills, from other repositories
garmin-connect
Garmin Connect CLI for activities, health, body composition, workouts, devices, gear, goals, and more.
garmin-trainer
Adaptive 12-week training plan generator using Garmin Connect data. Creates structured workouts and schedules them on your Garmin calendar. Use this skill whenever the user asks about training plans, workout scheduling, race preparation, building fitness for upcoming events, or wants to generate/update their training…
garmin-connect
Query Garmin Connect fitness and health data including activities, athlete stats, sleep, heart rate, stress, and body battery. Use when the user asks about Garmin data, workouts, training, or health metrics.
icuvisor-training
Use when answering endurance training questions with icuvisor MCP tools and intervals.icu data. Keeps answers grounded in tool results, handles athlete-local dates, stale data, subjective scales, safe writes, and workout/calendar workflows.
garmin-coach-loop
Maintain one current 28-day running-and-strength direction from the latest available Garmin or Intervals.icu evidence. Use when the user asks to reassess a goal or plan, create or revise a hybrid week, decide what to do today, review planned versus actual training, or preview and deliver a selected workout. Trigger…
strava
Query Strava fitness data including activities, athlete stats, segments, routes, clubs, and gear. Use when the user asks about cycling, running, swimming, workouts, training, or Strava data.