material-testing
Skill for planning and specifying mechanical material tests per ASTM standards
Profile →npx skills add a5c-ai/babysitter --skill material-testing --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.
# Material Testing Planning Skill ## Purpose The Material Testing Planning skill provides capabilities for planning and specifying mechanical material tests per ASTM standards, enabling proper test specimen design, test matrix development, and data analysis for property determination. ## Capabilities - Tensile testing specification (ASTM E8) - Hardness testing methods (Rockwell, Brinell, Vickers) - Impact testing (Charpy, Izod) per ASTM E23 - Fatigue testing (ASTM E466, E606) - Test specimen design and preparation - Test matrix development and optimization - Data analysis and property determination - Test report generation ## Usage Guidelines ### Tensile Testing (ASTM E8/E8M) #### Specimen Design 1. **Standard Specimens** | Type | Gauge Length | Gauge Width | Application | |------|--------------|-------------|-------------| | Sheet (flat) | 50 mm | 12.5 mm | Sheet/plate < 6 mm | | Round | 50 mm | 12.5 mm dia | Bar/rod stock | | Subsize | 25 mm | 6 mm | Limited material | 2. **Specimen Preparation** - Machine finish on gauge section - Radius transitions per standard - Measure dimensions before test - Mark gauge length #### Test Parameters ``` Strain rate: 0.015 mm/mm/min (yield) 0.0
- Purpose
- Capabilities
- Usage Guidelines
- Tensile Testing (ASTM E8/E8M)
- Hardness Testing
- Impact Testing (ASTM E23)
- Fatigue Testing
- Test Matrix Development
- Process Integration
- Input Schema
- Output Schema
- Best Practices
- Integration Points
What does the material-testing skill do?
Skill for planning and specifying mechanical material tests per ASTM standards
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill material-testing --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.