iso10993-evaluator
Biological evaluation planning skill implementing ISO 10993-1 for biocompatibility testing strategy
npx skills add a5c-ai/babysitter --skill iso10993-evaluator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# ISO 10993 Evaluator Skill ## Purpose The ISO 10993 Evaluator Skill supports biological evaluation planning per ISO 10993-1, determining biocompatibility testing requirements based on device categorization, contact type, and duration. ## Capabilities - Device categorization (body contact, duration) - Testing endpoint determination matrix - Existing data evaluation guidance - Equivalence assessment templates - Gap analysis for testing requirements - Biological evaluation plan generation - Report template generation - Risk-based testing strategy - Alternative testing approaches - Literature review guidance - Toxicological risk assessment support ## Usage Guidelines ### When to Use - Planning biocompatibility testing programs - Evaluating existing biocompatibility data - Assessing material equivalence - Preparing biological evaluation reports ### Prerequisites - Device materials identified - Contact type and duration defined - Manufacturing process documented - Existing data compiled ### Best Practices - Apply risk-based approach per ISO 10993-1:2018 - Evaluate existing data before new testing - Consider material equivalence carefully - Document rationale for testing decisions ## Pro
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the iso10993-evaluator skill do?
Biological evaluation planning skill implementing ISO 10993-1 for biocompatibility testing strategy
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill iso10993-evaluator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.