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 bpauli/gccli --skill garmin-trainergit clone --depth 1 https://github.com/bpauli/gccliWrote 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/bpauli/gccli/garmin-trainer)<a href="https://agentmods.dev/skills/bpauli/gccli/garmin-trainer"><img src="https://agentmods.dev/badge/skills/bpauli/gccli/garmin-trainer/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/bpauli/gccli/garmin-trainer"><img src="https://agentmods.dev/badge/skills/bpauli/gccli/garmin-trainer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 222 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00085 | $0.04088 |
| Opus 5 | $0.00043 | $0.02044 |
| Sonnet 5 | $0.00017 | $0.00818 |
| Haiku 4.5 | $0.00009 | $0.00409 |
Grade A, and why
garmin-trainer 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 9d 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 — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Garmin Trainer
Generate an adaptive 12-week training plan based on real Garmin Connect data. The plan accounts for all upcoming events (races across different sports), current fitness level, recent training load, and recovery status. Each run of this skill pulls fresh data so the plan stays current.
For all gccli command examples (data gathering, workout creation, scheduling), read references/gccli-commands.md.
Step 0: Choose a Training Philosophy
Before building the plan, ask the user which coaching philosophy to follow. Present these six options — each shapes how the plan balances intensity, volume, strength work, and recovery:
1. Joe Friel — Periodization Bible
Based on "The Triathlete's Training Bible". Classic structured periodization with distinct phases (base → build → peak → race). Strength training is integral, progressing from anatomical adaptation (high rep, low weight) through max strength to explosive power as the season advances. Includes year-round mobility work. Best for athletes who like structure and measurable progression.
- Intensity split: ~75% easy / 5% tempo / 20% high intensity (shifts across phases)
- Strength: 2-3x/week in base phase (full-body compound lifts), tapering to 1x/week maintenance closer to events
- Mobility: dynamic stretching before sessions, 10-15min flexibility routine post-workout
2. Matt Fitzgerald — 80/20 Polarized
From "80/20 Triathlon". Strictly 80% of training time at low intensity (zones 1-2), 20% at moderate-to-high intensity (zones 3-5). No junk miles in between. Research-backed approach that builds a massive aerobic engine while keeping the hard sessions truly hard. Supplemental strength focused on injury prevention rather than performance.
- Intensity split: 80% easy (strictly enforced) / 20% moderate-to-hard
- Strength: 2x/week functional strength and injury prevention (single-leg work, hip stability, core)
- Mobility: foam rolling and dynamic mobility as part of warmup/cooldown routines
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.
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.
- 9d ago First seen · 234 lines · 85 tokens per session scan A c959623ab303
garmin-trainer is a skill published in the GitHub repository bpauli/gccli (27 stars, last pushed 9d ago), licensed MIT. It adds 85 tokens to every session and 4,088 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
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.
garmin-health
Fetches and reports the user's Garmin Connect health and workout data (sleep, HRV, stress, Body Battery, resting HR, steps, calories, HR zones, per-km splits, strength-training exercise sets with reps/weight) via the local garminpipeline CLI, writing markdown/CSV files into data/library/. Use when the user asks to…
release-garmin-pipeline
A release workflow for the Garmin Health Pipeline, a software project that processes Garmin health data. It creates release builds for Windows and macOS through GitHub Actions, a service that runs automated software tasks.
garmin-pulse
Syncs daily health and fitness data from Garmin Connect into markdown files. Provides sleep, activity, heart rate, stress, body battery, HRV, SpO2, and weight data.
gws-calendar
Google Calendar: Manage calendars and events.
gws-gmail-send
Skill "gws-gmail-send" from googleworkspace/cli, covering gmail +send, usage, flags, examples and tips.