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 davidmosiah/fitbit-mcp --skill skillgit clone --depth 1 https://github.com/davidmosiah/fitbit-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/skills/davidmosiah/fitbit-mcp/skill)<a href="https://agentmods.dev/skills/davidmosiah/fitbit-mcp/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/fitbit-mcp/skill/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/davidmosiah/fitbit-mcp/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/fitbit-mcp/skill.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 | $0.00036 | $0.00274 |
| Opus 5.5 | $0.00014 | $0.00110 |
| Sonnet 5.5 | $0.00007 | $0.00055 |
| Haiku 4.5 | $0.00004 | $0.00027 |
Grade A, and why
fitbit 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 1mo 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.
This is a copy
88% identical to google-health — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Fitbit — skill or MCP
Same binary either way. Do not duplicate the API client.
Choose a surface
MCP — tools appear natively after stdio/HTTP config:
{ "mcpServers": { "fitbit": { "command": "npx", "args": ["-y", "fitbit-mcp-unofficial"] } } }
Do not put mutation flags in that snippet.
Skill / CLI — no MCP client required. Same tools:
npx -y fitbit-mcp-unofficial call fitbit_connection_status --json '{}'
If MCP tools named fitbit_* are already available, use them. Do not also shell out.
Loop
- Call
fitbit_connection_status(ordoctor --jsonwhen that exists). - Use read tools as asked.
- Stop on
USER_ACTION_REQUIRED. Do not invent env flags. Do not enable mutations from this skill.
Never
- Paste tokens into git, chat logs, or the prompt
- Copy a mutations-enabled assignment into config
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.
- 1mo ago First seen · 40 lines · 36 tokens per session scan A 7478e5bbe3e8
fitbit is a skill published in the GitHub repository davidmosiah/fitbit-mcp (5 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 274 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to google-health, differing in 16 lines, and is treated as a copy.
Other skills, from other repositories
google-health
Unofficial Google Health Connect data for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Google Health data or actions through an agent.
whoop
Unofficial WHOOP recovery, sleep, strain and HRV for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants WHOOP data or actions through an agent.
polar
Unofficial Polar data for AI agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Polar data or actions through an agent.
add-tool
Scaffold a new MCP tool definition. Use when the user asks to add a tool, create a new tool, or implement a new capability for the server.
api-linter
MCP definition linter rules reference. Use when bun run lint:mcp or bun run devcheck reports a lint error or warning (format-parity, schema-is-object, name-format, server-json-, etc.) and you need to understand the rule, its severity, and how to fix it. Every rule ID the linter emits has an entry in this doc.
design-mcp-server
Design the tool surface, resources, and service layer for a new MCP server. Use when starting a new server, planning a major feature expansion, or when the user describes a domain/API they want to expose via MCP. Produces a design doc at docs/design.md that drives implementation.