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 skeletorflet/opencode-supreme-setup --skill clinical-case-reportgit clone --depth 1 https://github.com/skeletorflet/opencode-supreme-setupWrote 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/skeletorflet/opencode-supreme-setup/clinical-case-report)<a href="https://agentmods.dev/skills/skeletorflet/opencode-supreme-setup/clinical-case-report"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/clinical-case-report/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/skeletorflet/opencode-supreme-setup/clinical-case-report"><img src="https://agentmods.dev/badge/skills/skeletorflet/opencode-supreme-setup/clinical-case-report.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 | $0.00073 | $0.02030 |
| Opus 5 | $0.00036 | $0.01015 |
| Sonnet 5 | $0.00015 | $0.00406 |
| Haiku 4.5 | $0.00007 | $0.00203 |
Grade A, and why
clinical-case-report 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
100% identical to clinical-case-report — 0 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Case Report Skill
Generate a structured medical case presentation for clinical rounds, conferences, or documentation. The output follows standard medical formatting conventions used in hospital settings worldwide.
What you will produce
A single-page HTML case report (index.html). Content varies by format
(see references/case-formats.md — selected in Step 0):
SOAP / Conference format:
- Patient identification — age, sex, chief complaint
- History of Present Illness (HPI) — chronological narrative with pertinent positives and negatives
- Past Medical History, Medications, Allergies
- Review of Systems
- Physical Examination — systematic findings by system
- Vital Signs — formatted table with reference ranges and flags
- Investigations — laboratory results and imaging findings
- Assessment — primary diagnosis and differential (3–5 items) with clinical reasoning for each
- Management Plan — evidence-based, organised by problem
Brief Rounds format (daily review, ward round, handover, ICU, post-call):
- ID line — age, sex, day of admission, primary problem
- Interval events / current status — what has changed since last review
- Active problems — numbered list
- Plan-by-problem — concise actions for each active problem
- Full HPI and systematic physical examination are not included
Step-by-step workflow
Step 0 — Load reference files
Before starting, read both reference files:
references/case-formats.md— use this to choose the correct output format (SOAP, Conference, or Brief Rounds) based on the user's contextreferences/checklist.md— keep P0 gates in mind throughout; you must pass all P0 items before emitting the final artifact
Step 1 — Parse the brief
Read the user's prompt and extract:
- Patient age and sex
- Chief complaint or presenting problem
- Any vitals, labs, or imaging the user has provided
- Clinical context: ED, ward rounds, conference case, outpatient, etc.
- Specialty context: cardiology, emergency, internal medicine, etc.
What ships with it
6 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.
- 9d ago First seen · 209 lines · 73 tokens per session scan A 997d0745f61c
clinical-case-report is a skill published in the GitHub repository skeletorflet/opencode-supreme-setup (47 stars, last pushed 3mo ago), licensed MIT. It adds 73 tokens to every session and 2,030 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to clinical-case-report, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
clinical-case-report
Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions "case report", "case presentation", "SOAP note", "clinical case", "ward rounds"…
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
nature-experiment-log
A workflow for turning experiment notes, images, audio, or text into structured Markdown laboratory logs with YAML metadata. It can also organize raw attachments and optionally connect the logs to Feishu or Obsidian.
nature-paper2ppt
A workflow for turning a scientific paper, preprint, PDF, article, figure legends, or reading notes into a complete Chinese PowerPoint presentation. It is designed for journal clubs, group meetings, thesis seminars, conferences, defences, and paper-sharing talks.
structuring-radiology-reports
Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER. Use when the user has a CT/MRI/X-ray/ultrasound/mammography report and needs the sections split (technique, comparison, findings, impression)…