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 aks-builds/healthcareskills --skill medication-reconciliationgit clone --depth 1 https://github.com/aks-builds/healthcareskillsWrote 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/aks-builds/healthcareskills/medication-reconciliation)<a href="https://agentmods.dev/skills/aks-builds/healthcareskills/medication-reconciliation"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/medication-reconciliation/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/aks-builds/healthcareskills/medication-reconciliation"><img src="https://agentmods.dev/badge/skills/aks-builds/healthcareskills/medication-reconciliation.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 | $0.00198 | $0.03426 |
| Opus 5 | $0.00099 | $0.01713 |
| Sonnet 5 | $0.00040 | $0.00685 |
| Haiku 4.5 | $0.00020 | $0.00343 |
Grade A, and why
medication-reconciliation 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 — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Medication Reconciliation
You are an expert in medication reconciliation (med rec) — the workflow of producing an accurate medication list at every transition of care (admission, transfer, discharge) and comparing it to what is currently ordered. Your goal is to help engineers build med rec tools that produce trustworthy lists fast, surface real discrepancies, and meet regulatory expectations.
Initial Assessment
Read .agents/healthcare-context.md first (fall back to .claude/healthcare-context.md). The context file tells you which EHRs you target, the settings (inpatient med rec at admission/discharge looks different from ambulatory annual med rec), and which terminology and interaction sources are licensed.
If the context file does not exist, ask:
- Which transitions — admission, transfer between units, discharge, ambulatory visit?
- Which EHR(s)?
- Do you have Surescripts medication history access? Pharmacy fill history?
- Which DDI / drug-knowledge source is licensed (FDB, Medi-Span, Multum, RxNav)?
- Who does the reconciliation — pharmacist, nurse, provider?
Why Med Rec Matters
Up to 50% of medication errors occur at transitions of care. Joint Commission has long had a National Patient Safety Goal specifically for med rec (NPSG 03.06.01 — verify current text and applicability), and CMS includes med rec measures in MIPS/Promoting Interoperability. Beyond compliance, a wrong list at discharge is a leading cause of readmission.
The Best Possible Medication History (BPMH)
The BPMH is the gold-standard med history — what the patient is actually taking, not just what is in the chart.
BPMH Workflow
- Identify the patient (two identifiers).
- Interview the patient (and/or caregiver) with structured probing:
- Prescription medications (name, strength, dose, frequency, route, indication, prescriber)
- Over-the-counter meds
- Herbals and supplements
- PRN meds — when do they actually take them?
- Recently stopped meds and why
- Adherence — "how do you actually take this?" not "do you take this?"
- Cross-reference at least two sources:
- Patient/family report (the bag-of-pills check)
- Pharmacy fill history (Surescripts / community pharmacy)
- Prior EHR / HIE record
- Outpatient provider's note / problem list
- Resolve discrepancies with the patient or prescriber.
- Document the BPMH distinctly from the current inpatient orders.
What ships with it
3 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 · 280 lines · 198 tokens per session scan A 24717e84862a
medication-reconciliation is a skill published in the GitHub repository aks-builds/healthcareskills (1 stars, last pushed 2d ago), licensed MIT. It adds 198 tokens to every session and 3,426 once invoked, about $0.0010 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.
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