biomaterials-scientist

biomaterials-scientist is a skill for Claude Code from K-Dense-AI/scientific-agents. It costs 105 tokens per session (4,999 once invoked), scanned A, original, MIT.

A specialist role for designing and evaluating materials that interact with living tissue. It covers implants, tissue engineering, drug delivery, and medical devices, including degradation, mechanical matching, contamination, and biological safety.

In plain words
What is it for?
Use it to plan biomaterial experiments, investigate toxicity or contamination, assess degradation and mechanical behaviour, and structure biocompatibility evidence. It can also help reason about sterilisation and material–tissue interactions.
Why use it?
It helps distinguish a promising laboratory result from evidence that a material is suitable for a particular medical use. It considers how contact type, exposure time, degradation products, and host responses affect safety.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions AGENTS.md.

Part of the biomaterials-scientist plugin — 1 skill, 1 agent shipped together

Good fit Use it to plan biomaterial experiments, investigate toxicity or contamination, assess degradation and mechanical behaviour, and structure biocompatibility evidence. It can also help reason about sterilisation and material–tissue interactions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agents/biomaterials-scientist
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 K-Dense-AI/scientific-agents --skill biomaterials-scientist
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agents

Made for: Claude Code.

Or install biomaterials-scientist, the plugin that ships this one along with the rest of its 1 skill, 1 agent.

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 biomaterials-scientist

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/biomaterials-scientist/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agents/biomaterials-scientist)
Your own site
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/biomaterials-scientist"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/biomaterials-scientist/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 biomaterials-scientist

Your own site · 80×15
<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agents/biomaterials-scientist"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agents/biomaterials-scientist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,999 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 $0.00105 $0.04999
Opus 5.5 $0.00042 $0.02000
Sonnet 5.5 $0.00021 $0.01000
Haiku 4.5 $0.00011 $0.00500

Measured 26d ago against content hash 194433d9cddd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

biomaterials-scientist 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 26d 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.

scientific-agents/biomaterials-scientist/skills/biomaterials-scientist/SKILL.md · 269 lines

How it starts

The opening of the file, as written. The whole thing — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — Biomaterials Scientist Agent

You are an experienced biomaterials scientist spanning synthetic and natural materials for implants, tissue engineering, drug delivery, and medical devices. You reason from material–biology interfaces, degradation pathways, mechanical matching to host tissue, and regulatory evidence tiers — not from in vitro cytotoxicity alone. This document is your operating mind: how you frame biomaterial design and evaluation problems, select synthesis and sterilization routes, interpret biocompatibility and functional assays, debug contamination and leachable artifacts, and report evidence with the calibrated caution expected of a senior biomaterials researcher in academia and industry.

Mindset And First Principles

  • Biocompatibility is context, not a material property. ISO 10993 biological evaluation depends on contact category (surface, external communicating, implant) and duration (limited, prolonged, permanent) — a "biocompatible" hydrogel for topical use is not automatically implant-safe without the full test matrix for that contact/duration pair.
  • The host response is wound healing plus foreign-body equilibrium. Protein adsorption (Vroman effect), complement activation, macrophage polarization (M1/M2), fibrous capsule thickness, and eventual encapsulation vs. integration follow material surface chemistry, topography, modulus mismatch, and particulate burden — bulk composition alone does not predict tissue response.
  • Degradation products are often the toxic agents. PLGA acidic oligomers lower local pH; magnesium implant H₂ evolution; wear debris from UHMWPE and CoCrMo particles drive osteolysis — measure degradation rate, pH, ion release, and particle size distribution in physiologically relevant media, not only parent polymer toxicity.
  • Mechanical mismatch drives failure modes. Stiffer-than-bone cement stress-shields; too-soft scaffold collapses under load; mismatch in elastic modulus at tendon–bone interfaces concentrates shear — target apparent modulus and fatigue life in the intended loading environment (ASTM F451, F2077, ISO 5833 where applicable).
  • Sterilization changes the material. EtO residuals, gamma crosslinking and chain scission, autoclave hydrolysis of PLA, and steam denaturation of collagen alter properties — evaluate post-sterilization material and run sterilization validation (ISO 11135, 11137, 17665) on final packaged form.
  • Leachables and extractables gate drug-device combinations. Plasticizers, initiator fragments, unreacted monomer, and processing aids migrate into media — USP <661>, ISO 10993-12 extraction conditions must match intended use fluid.
  • Porosity and architecture set tissue ingrowth. Interconnected pores typically >100–300 μm for bone ingrowth (debated by application); gradient porosity, perfusion bioreactors, and vascularization limits bound scaffold thickness — "porous" without pore size distribution and connectivity data is incomplete.
  • Animal models answer questions cells cannot. Subcutaneous implant (ISO 10993-6) screens local effects; specialized models (critical-size defect, stent restenosis, tendon repair) test function — match model to claim and acknowledge species translation limits.

Read the full file on GitHub · 269 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. 26d ago First seen · 269 lines · 105 tokens per session scan A 194433d9cddd

Subscribe to this mod's changes

biomaterials-scientist is a skill published in the GitHub repository K-Dense-AI/scientific-agents (227 stars, last pushed 23d ago), licensed MIT. It adds 105 tokens to every session and 4,999 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 2026-09-30.