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 zish-rob-crur/nucleus-apple-mcp --skill nucleus-apple-healthgit clone --depth 1 https://github.com/zish-rob-crur/nucleus-apple-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/zish-rob-crur/nucleus-apple-mcp/nucleus-apple-health)<a href="https://agentmods.dev/skills/zish-rob-crur/nucleus-apple-mcp/nucleus-apple-health"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/nucleus-apple-health/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/zish-rob-crur/nucleus-apple-mcp/nucleus-apple-health"><img src="https://agentmods.dev/badge/skills/zish-rob-crur/nucleus-apple-mcp/nucleus-apple-health.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 | $0.00054 | $0.00610 |
| Opus 5 | $0.00027 | $0.00305 |
| Sonnet 5 | $0.00011 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
nucleus-apple-health 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 12d 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 — 40 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use nucleus-apple health ... to summarize exported Health data and drill into raw samples only when needed.
Operating Stance
- Prefer the installed
nucleus-applebinary. - Fall back to
uvx --from nucleus-apple-mcp nucleus-apple ...when onlyuvxis available. - Start with snapshot-based reads; escalate to raw sample reads only when the task needs record-level evidence or gap diagnosis.
- Use exact
YYYY-MM-DDdates and keep ranges as narrow as the question allows. - Narrow heavy reads with
metric_keys,type_keys,tags,kinds, ormax_records. - Treat
missing_dates,metric_status, and raw manifest status as separate signals. - Reuse returned cursors when paginating raw reads instead of widening filters.
Core Workflow
- If metric vocabulary is unclear, start with
list-sample-catalog. - Route summary questions through snapshot reads using
references/decision-rules.md. - Escalate to
inspect-daybefore raw samples when the question is "why is this missing or inconsistent?" - Use
references/commands.mdfor canonical command shapes. - Use
references/failure-modes.mdto interpret missing data, authorization gaps, and storage errors.
Task Routing
- Trend summaries or range overviews: read
references/decision-rules.md#snapshot-routing. - Single-day values or missing-metric diagnosis: read
references/decision-rules.md#daily-and-diagnostic-routing. - Record-level raw samples, workouts, or filtered manifests: read
references/decision-rules.md#raw-escalationandreferences/decision-rules.md#filter-selection. - Recent sync or export changes: read
references/decision-rules.md#change-history. - Unsupported metrics, aggregate-vs-raw gaps, or empty filtered reads: read
references/failure-modes.md.
Output / Escalation
- Use
--prettyonly for human inspection. - Keep raw reads bounded with
--max-recordsunless full pagination is explicitly requested. - Prefer
inspect-dayover direct raw reads when the task is to explain a missing or inconsistent daily aggregate.
What ships with it
4 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.
- 12d ago First seen · 40 lines · 54 tokens per session scan A 38a2e27a2daf
nucleus-apple-health is a skill published in the GitHub repository zish-rob-crur/nucleus-apple-mcp (20 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 610 once invoked, about $0.0003 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.
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