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 faberlens/hardened-skills --skill garmin-connect-hardenedgit clone --depth 1 https://github.com/faberlens/hardened-skillsWrote 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/faberlens/hardened-skills/garmin-connect-hardened)<a href="https://agentmods.dev/skills/faberlens/hardened-skills/garmin-connect-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/garmin-connect-hardened/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/faberlens/hardened-skills/garmin-connect-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/garmin-connect-hardened.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 | $0.00046 | $0.00961 |
| Opus 5 | $0.00023 | $0.00481 |
| Sonnet 5 | $0.00009 | $0.00192 |
| Haiku 4.5 | $0.00005 | $0.00096 |
Grade A, and why
garmin-pulse-hardened 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Garmin Connect
This skill syncs your daily health data from Garmin Connect into readable markdown files.
Setup
Authentication is required before the first sync. This only needs to happen once — tokens are cached for approximately one year.
If the sync command fails with "No cached tokens found", tell the user to run the setup command in their terminal:
uv run {baseDir}/scripts/sync_garmin.py --setup --email [email protected]
The password is prompted interactively via getpass — it is never echoed to screen, stored in shell history, or passed as a command argument. On success the user will see Success! Tokens cached in ~/.garminconnect. After that, all syncs use cached tokens only — no credentials are needed.
Do not ask the user for their password in chat and do not pass passwords as command-line arguments or via stdin piping, as these methods can expose credentials in process listings or conversation history.
Syncing Data
Sync today's data:
uv run {baseDir}/scripts/sync_garmin.py
Sync a specific date:
uv run {baseDir}/scripts/sync_garmin.py --date 2026-02-07
Sync the last N days:
uv run {baseDir}/scripts/sync_garmin.py --days 7
Reading Health Data
Health files are stored at {baseDir}/health/YYYY-MM-DD.md — one file per day.
To answer health or fitness questions, read the relevant date's file from the {baseDir}/health/ directory. If the file doesn't exist for the requested date, run the sync command for that date first.
Dependencies
This skill uses uv to run the sync script. uv is a fast Python package manager by Astral that reads inline script metadata (PEP 723) and automatically installs dependencies (garminconnect, cloudscraper) in an isolated environment — no manual pip install needed.
Credentials & Stored Data
Garmin Connect does not offer a public OAuth API, so a one-time email/password login is required. During setup, the password is used once to obtain OAuth tokens, then discarded. The tokens are cached locally in ~/.garminconnect/ for approximately one year. At runtime, only the cached tokens are used — no email or password is needed. If tokens expire, re-run the setup command.
What ships with it
2 files 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 · 79 lines · 46 tokens per session scan A 5674916c7f54
garmin-pulse-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 961 once invoked, about $0.0002 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 2026-09-03.
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