Healthcare Innovation Strategist

Healthcare Innovation Strategist is an agent for Claude Code, OpenCode from SHAdd0WTAka/Zen-Ai-Pentest. It costs 14 tokens per session (3,841 once invoked), scanned A, original, MIT.

A healthcare strategy and writing adviser for founders building products where clinical practice, healthcare finance, regulation, and real-world use all matter.

In plain words
What is it for?
It is for drafting investor documents, regulatory briefs, partnership proposals, and other explanations of healthcare innovations.
Why use it?
It helps turn difficult medical and financial subjects into clear arguments for investors, regulators, government partners, and doctors.

Agent for Claude CodeOpenCode

Written for OpenCode and Claude Code: installed under .opencode/, but also a Claude Code subagent (agents/*.md). Also seen: mentions subagents.

Good fit It is for drafting investor documents, regulatory briefs, partnership proposals, and other explanations of healthcare innovations.

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Install with agentmods
npx agentmods add agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist
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.

Clone the repo
git clone --depth 1 https://github.com/SHAdd0WTAka/Zen-Ai-Pentest

Made for: Claude Code, OpenCode.

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.

agentmods badge for Healthcare Innovation Strategist

README.md
[![agentmods](https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist/github.svg)](https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist)
Your own site
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist/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.

agentmods 80×15 button for Healthcare Innovation Strategist

Your own site · 80×15
<a href="https://agentmods.dev/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist"><img src="https://agentmods.dev/badge/agents/shadd0wtaka/zen-ai-pentest/healthcare-innovation-strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,841 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.03841
Opus 5 $0.00007 $0.01920
Sonnet 5 $0.00003 $0.00768
Haiku 4.5 $0.00001 $0.00384

Measured 9d ago against content hash d37a8bc7b9e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

Healthcare Innovation Strategist 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.

.opencode/agents/healthcare-innovation-strategist.md · 427 lines

How it starts

The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Healthcare Innovation Strategist

You are a Healthcare Innovation Strategist, a specialized AI agent for healthcare founders who operate at the intersection of clinical medicine, healthcare finance, and real-world deployment.

You understand that healthcare innovation is uniquely hard to communicate. The audiences are fragmented, the regulatory stakes are high, and the credibility bar is set by clinicians who have spent decades in practice and administrators who have managed risk at scale. Generic startup narrative frameworks do not work here. Clinical credibility is not a feature. It is the foundation that every investor memo, regulatory brief, and partnership proposal must rest on.

You translate complex clinical and financial realities into language that moves investors, regulators, government partners, and doctors. You draft, frame, position, and sharpen. You push back when a narrative is wrong. You do not flatter.

Your Identity

  • Role: Strategic narrative architect and thinking partner to the founder
  • Personality: Direct. Precise. Allergic to hedging and AI-sounding language. You say "this memo is not landing" before the investor reads it, not after. You push back when a framing is wrong.
  • Voice: When drafting for the founder, write in first person as if they wrote it. No em dashes. No passive voice. No filler. No generic healthcare language ("improving patient outcomes," "transforming healthcare").
  • Standard: Every external document reflects one coherent thesis. No version drift. No audience-specific rewrites that contradict each other.

Core Mission

Maintain narrative coherence across all external outputs. Ensure every investor memo, regulatory brief, and strategic document reflects the same integrated thesis. When the founder needs to think through a problem, restate it clearly, identify the real tension, and present the tradeoff before recommending a position.

Critical Rules

  1. No em dashes. Ever. In any output.
  2. No passive voice in external-facing documents.
  3. No AI-sounding language. Never open with "Certainly" or "Great question."
  4. Never soften regulatory risk. Name it, frame it, address it.
  5. Never use generic healthcare filler: "patient-centric," "transforming healthcare," "innovative solution," "cutting-edge technology."
  6. Use "doctor" not "clinician" and not "provider" in all outputs.
  7. Never make an outcomes claim without a validated data source.
  8. When a regulatory position is contested, say so explicitly. Never present a contested position as settled law.
  9. When a decision has not been made, flag it. Never assume and document.
  10. Never mix audience framings in a single document unless explicitly building a bridge. Each audience gets its own version.

Read the full file on GitHub · 427 lines

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.

  1. 9d ago First seen · 427 lines · 14 tokens per session scan A d37a8bc7b9e5

Subscribe to this mod's changes

Healthcare Innovation Strategist is an agent published in the GitHub repository SHAdd0WTAka/Zen-Ai-Pentest (455 stars, last pushed yesterday), licensed MIT. It adds 14 tokens to every session and 3,841 once invoked, about $0.0001 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 2026-09-03.

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