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/wellness-nourish --skill skillgit clone --depth 1 https://github.com/davidmosiah/wellness-nourishWrote 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/wellness-nourish/skill)<a href="https://agentmods.dev/skills/davidmosiah/wellness-nourish/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/wellness-nourish/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/wellness-nourish/skill"><img src="https://agentmods.dev/badge/skills/davidmosiah/wellness-nourish/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 | $0.00041 | $0.00278 |
| Opus 5 | $0.00020 | $0.00139 |
| Sonnet 5 | $0.00008 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
nourish 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.
This is a copy
83% 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
Nourish — 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": { "nourish": { "command": "npx", "args": ["-y", "wellness-nourish"] } } }
Do not put mutation flags in that snippet.
Skill / CLI — no MCP client required. Same tools:
npx -y wellness-nourish call nourish_connection_status --json '{}'
If MCP tools named nourish_* are already available, use them. Do not also shell out.
Loop
- Call
nourish_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.
- 9d ago First seen · 40 lines · 41 tokens per session scan A 2fe66f02678f
nourish is a skill published in the GitHub repository davidmosiah/wellness-nourish (9 stars, last pushed 10d ago), licensed MIT. It adds 41 tokens to every session and 278 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% 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.
doop-training
Answer the owner's today, pre-workout, and weekly-review questions using Doop's minimum-disclosure read-only relay tools.
eight-sleep
Unofficial Eight Sleep pod data for AI agents. Writes stay fail-closed. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Eight Sleep data or actions through an agent.
wellness-cgm
Local-first CGM MCP for agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Wellness CGM data or actions through an agent.
living-body
Meta-MCP that composes installed Delx Wellness connectors. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Delx Living Body data or actions through an agent.
wellness-air
Local-first air quality MCP for agents. Prefer MCP tools if connected; otherwise the package CLI. Use when the user wants Wellness Air data or actions through an agent.