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.
git clone --depth 1 https://github.com/skeletonarmytech/marrow-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/commands/skeletonarmytech/marrow-mcp/doctor-prep)<a href="https://agentmods.dev/commands/skeletonarmytech/marrow-mcp/doctor-prep"><img src="https://agentmods.dev/badge/commands/skeletonarmytech/marrow-mcp/doctor-prep/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/commands/skeletonarmytech/marrow-mcp/doctor-prep"><img src="https://agentmods.dev/badge/commands/skeletonarmytech/marrow-mcp/doctor-prep.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 | $0.00027 | $0.00196 |
| Opus 5.5 | $0.00011 | $0.00078 |
| Sonnet 5.5 | $0.00005 | $0.00039 |
| Haiku 4.5 | $0.00003 | $0.00020 |
Grade A, and why
doctor-prep 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 yesterday.
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
Help me prepare for a doctor visit. $ARGUMENTS
Call the marrow data_quality tool, then baselines with window 90 for resting_heart_rate, heart_rate_variability_s_d_n_n, body_mass, sleep_hours, step_count and dietary_energy_consumed, then symptoms_and_mood for 90 days and sleep_log for 30. Write one page a clinician can read in a minute: a line per measure with the 90-day mean, the range and the trend, the symptoms logged with dates and severity, the sleep pattern, and the activity level. Then list three to five questions worth asking at the visit. State which measures are missing or stale. Report, do not interpret clinically.
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.
- yesterday First seen · 9 lines · 27 tokens per session scan A 9c039e422230
doctor-prep is a command published in the GitHub repository skeletonarmytech/marrow-mcp (3 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 196 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-22.
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