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 agentmods add instructions/lepomas/garminconnect-mcp/agents-mdgit clone --depth 1 https://github.com/LePomas/garminconnect-mcpWrote 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/instructions/lepomas/garminconnect-mcp/agents-md)<a href="https://agentmods.dev/instructions/lepomas/garminconnect-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/lepomas/garminconnect-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.00140 | $0.00140 |
| Opus 5 | $0.00070 | $0.00070 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
garminconnect-mcp AGENTS.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 5d 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.
What it actually says
Garmin MCP Agent Guidance
Privacy Defaults
- Treat Garmin Connect responses as private health/account data.
- Do not print raw Garmin profile, sleep, HRV, heart-rate, stress, Body Battery, activity, or user settings payloads unless the user explicitly asks for those raw fields.
- Use
garmin_connection_statusorgarmin_pingfor smoke tests. Do not usegarmin_profileas a connectivity check. - Prefer summarized, task-specific outputs for training analysis instead of raw JSON payloads.
- Before committing docs, scripts, examples, or copied output, run:
scripts/check-private-output.sh
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.
- 5d ago First seen · 19 lines · 140 tokens per session scan A 52f1402aeda7
garminconnect-mcp AGENTS.md is an instructions file published in the GitHub repository LePomas/garminconnect-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 140 tokens to every session, 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 instructions, from other repositories
gccli CLAUDE.md
Claude Code instructions for bpauli/gccli, covering claude.md, project overview, build & quality commands, architecture and key packages.
mcp-garmin CLAUDE.md
Claude Code instructions for mskerwiderski/mcp-garmin, covering mcp-garmin, rules that are easy to break, working on it and deployment.
garmin-connect-mcp AGENTS.md
Instructions for eddmann/garmin-connect-mcp: Prefer make targets over direct commands. Run make help to see available targets.
garmin-connect-cli AGENTS.md
Instructions for eddmann/garmin-connect-cli: Prefer make targets over direct commands. Run make help to see available targets.
garmin_ai AGENTS.md
AGENTS.md instructions for TolmachevKirill/garmin_ai, covering agents.md — garmin health pipeline, setup / running commands, testing, ad hoc analytical questions (no exact report matches) and creating/scheduling a workout in garmin.
go-garmin CLAUDE.md
Claude Code instructions for llehouerou/go-garmin, covering claude code instructions, verification, adding new endpoints, quick start and step-by-step guide.