What is oncology-treatment-timeline?

A clinical record tool that turns cancer-related FHIR data into a dated treatment history. FHIR is a standard format for exchanging electronic health records.

Use it to review cancer staging, chemotherapy, surgery, radiation, tumor markers, scans, treatment response, and the current care phase.

It brings diagnoses, treatments, test results, and follow-up into one timeline instead of leaving them scattered across records.

oncology-treatment-timeline — Skill by langcare/langcare-mcp-fhir

Install

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.

Any agent

npx skills add langcare/langcare-mcp-fhir --skill oncology-treatment-timeline

Clone the repo

git clone --depth 1 https://github.com/langcare/langcare-mcp-fhir

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline/github.svg)](https://agentmods.dev/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline)

Your own site

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline"><img src="https://agentmods.dev/badge/skills/langcare/langcare-mcp-fhir/oncology-treatment-timeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,418 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00108	$0.04418
Opus 5.5	$0.00043	$0.01767
Sonnet 5.5	$0.00022	$0.00884
Haiku 4.5	$0.00011	$0.00442

Measured 2mo ago against content hash 31807a806e73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

oncology-treatment-timeline 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 2mo 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.

skills/core/specialty/oncology-treatment-timeline/SKILL.md · 370 lines

How it starts

The opening of the file, as written. The whole thing — 370 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Oncology Treatment Timeline

Overview

Construct a comprehensive cancer treatment timeline from FHIR resources. Pull cancer diagnosis Conditions with staging data, chemotherapy MedicationRequests, surgical and radiation Procedures, tumor marker Observations, and imaging DiagnosticReports. Organize chronologically into phases: diagnosis/staging, neoadjuvant treatment, definitive treatment (surgery/radiation), adjuvant treatment, response assessment, and surveillance. Track treatment response through tumor marker trends and imaging results using RECIST criteria where applicable. Identify current treatment phase and upcoming milestones.

FHIR Resources Used

Resource	Purpose	Key Fields
Patient	Demographics, age	birthDate, gender
Condition	Cancer diagnosis, staging, comorbidities	code, stage, clinicalStatus, onsetDateTime
MedicationRequest	Chemotherapy regimens, supportive care	medicationCodeableConcept, status, dosageInstruction, authoredOn
Procedure	Surgery, radiation, biopsy	code, performedDateTime, status, outcome
Observation	Tumor markers, performance status, lab values	code, valueQuantity, effectiveDateTime, interpretation
DiagnosticReport	Pathology, imaging	code, conclusion, result, effectiveDateTime
CarePlan	Treatment plan documentation	category, activity, status

Instructions

Step 1: Retrieve Patient Demographics

Tool: fhir_read
resourceType: "Patient"
id: "[patient-id]"

Extract age, gender. Relevant for gender-specific cancers and age-adjusted treatment protocols.

Step 2: Pull Cancer Diagnosis

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&category=encounter-diagnosis&code:below=363346000"

SNOMED 363346000 = Malignant neoplastic disease (parent concept). This captures all malignant neoplasm subtypes.

If SNOMED search fails, try ICD-10 range:

Tool: fhir_search
resourceType: "Condition"
queryParams: "patient=[patient-id]&code:below=C00"

Read the full file on GitHub · 370 lines

Files

What ships with it

2 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.

Changes

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.

2mo ago First seen · 370 lines · 108 tokens per session scan A 31807a806e73

Subscribe to this mod's changes

oncology-treatment-timeline is a skill published in the GitHub repository langcare/langcare-mcp-fhir (71 stars, last pushed 6mo ago), licensed MIT. It adds 108 tokens to every session and 4,418 once invoked, about $0.0004 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 2026-09-03.

oncology-treatment-timeline next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
oncology-treatment-timelinelangcare/langcare-mcp-fhir	Skill	71	6mo ago	MIT	A	108	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code