extractables-leachables-analyzer
E&L study design and data analysis skill for chemical characterization of medical devices
npx skills add a5c-ai/babysitter --skill extractables-leachables-analyzer --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.
# Extractables and Leachables Analyzer Skill ## Purpose The Extractables and Leachables Analyzer Skill supports E&L study design and data analysis for chemical characterization of medical devices per ISO 10993-18, including extraction study design and toxicological risk assessment. ## Capabilities - Extraction solvent and condition selection - Analytical method recommendations (GC-MS, LC-MS, ICP) - AET (Analytical Evaluation Threshold) calculation - Compound identification assistance - Toxicological risk assessment templates - ICH Q3D elemental impurity guidance - Study protocol generation - Data interpretation support - Safety assessment reporting - Simulated use extraction design - Accelerated extraction studies ## Usage Guidelines ### When to Use - Designing E&L characterization studies - Analyzing E&L data - Conducting toxicological risk assessments - Preparing chemical characterization reports ### Prerequisites - Device materials documented - Contact conditions defined - Analytical capabilities identified - Toxicological resources available ### Best Practices - Use risk-based approach per ISO 10993-18 - Consider worst-case extraction conditions - Calculate AET based on patient
- Purpose
- Capabilities
- Usage Guidelines
- When to Use
- Prerequisites
- Best Practices
- Process Integration
- Dependencies
- Configuration
- Output Artifacts
- Quality Criteria
What does the extractables-leachables-analyzer skill do?
E&L study design and data analysis skill for chemical characterization of medical devices
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill extractables-leachables-analyzer --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.