What is clinical-reports?

A safety-limited framework for preparing draft structures, aggregate tables, and review checklists for clinical case, diagnostic, trial, safety, and research reports using synthetic, de-identified, or aggregate information.

Use it to organize research-report drafts, document verified source facts, prepare aggregate tables, preserve provenance, and check internal consistency before professional review.

It adds structure and deterministic checks without inventing clinical facts or making medical judgments. Outputs still require review by qualified professionals.

clinical-reports — Skill by K-Dense-AI

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.

agentmods

npx agentmods add skills/k-dense-ai/scientific-agent-skills/clinical-reports

Any agent

npx skills add K-Dense-AI/scientific-agent-skills --skill clinical-reports

Clone the repo

git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code, Codex.

Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,915 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00055	$0.02915
Opus 5	$0.00028	$0.01458
Sonnet 5	$0.00011	$0.00583
Haiku 4.5	$0.00006	$0.00292

Measured yesterday against content hash f1da8ce1a00f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

clinical-reports 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.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/_common.py, scripts/check_deidentification.py, scripts/consistency_checker.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

clinical-reports — 100% identical, 0 lines differ

skills/clinical-reports/SKILL.md · 249 lines

How it starts

The opening of the file, as written. The whole thing — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clinical Reports

Purpose

Prepare draft reporting structures, aggregate tables, and review manifests from verified authorized facts. Route each artifact to the correct reporting guidance, preserve provenance, and stop when source support or qualified review is missing.

This skill does not establish legal, regulatory, ethical, journal, accreditation, or institutional compliance. Its scripts check structure and internal consistency only.

Non-Negotiable Boundary

Never:

diagnose, recommend treatment, choose or change dosing, triage, or provide return precautions;
interpret images, specimens, raw laboratory results, symptoms, or other clinical observations;
invent, infer, normalize, “complete,” or silently reconcile observations, results, dates, units, denominators, causality, expectedness, seriousness, outcomes, or conclusions;
create an individual case safety report from patient-level narrative or decide reportability;
sign, attest, approve, file, transmit, submit, amend a source record, or act as a licensed clinician, pathologist, radiologist, laboratorian, safety physician, statistician, privacy officer, attorney, or regulatory professional;
use real PHI in examples, assets, tests, prompts, logs, or external services;
call an external LLM, image service, API, or another skill.

All generated artifacts must remain visibly marked:

DRAFT — NOT FOR CLINICAL USE, SIGNATURE, FILING, OR SUBMISSION. Populate only from verified authorized source records. Qualified review and sign-off are required.

If the request crosses a boundary, stop the unsafe portion. Offer a blank structured template, a source-fact manifest, or a deterministic structural check. Direct clinical or regulatory decisions to the responsible qualified professional.

Input Gate

Proceed only when all conditions are true:

Purpose is explicit: publication draft, diagnostic-report scaffold, trial-results manuscript, protocol reporting review, CSR draft, aggregate safety table, or aggregate research summary.
Data class is allowed: synthetic, deidentified, or aggregate.
Authority is documented: the requester is authorized to use the records for the stated purpose.
Local-only handling is feasible: no upload, remote API, telemetry, or credential is needed.
Minimum necessary is defined: exclude fields not needed for the artifact.
Provenance exists: every populated field or claim maps to one or more verified source-fact IDs.
Review owner is identified: qualified clinical, statistical, safety, privacy, legal, journal, and/or regulatory review as applicable.

Read the full file on GitHub · 249 lines

Files

What ships with it

35 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.

yesterday First seen · 249 lines · 55 tokens per session scan A f1da8ce1a00f

Subscribe to this mod's changes

clinical-reports is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (40,390 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,915 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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clinical-reports

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

Copies of this mod

How it starts

Clinical Reports

Purpose

Non-Negotiable Boundary

Input Gate

What ships with it

What this file has done since we first saw it

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