detect_common_wetlab_errors
Detects common wet-lab procedural and safety errors from XR or fixed-camera lab video. Identifies pipette volume deviations, forgotten reagent additions, uncapped tubes, contamination risks, sample mix-ups, and other observable hazards. Outputs structured JSON with error type, timestamp, severity, and corrective action suggestions for real-time alerts or post-hoc audit.
npx skills add BioTender-max/awesome-bio-agent-skills --skill detect_common_wetlab_errors --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.
# Detect Common Wet-Lab Errors ## Overview `detect_common_wetlab_errors` is a video-based error detection layer for the LabOS lab safety and compliance stack. It analyzes XR headset or fixed-camera footage to identify observable wet-lab mistakes — pipette volume mismatches, skipped reagent additions, uncapped tubes before centrifugation, cross-contamination risks, sample labeling errors, and protocol-agnostic hazards — that may not be caught by protocol-step matching alone. Each detected error is emitted as a structured JSON record with type, timestamp, severity, affected object, and a suggested corrective action, enabling real-time XR alerts, post-experiment audit reports, or integration with `protocol_video_matching` for a unified compliance dashboard. ## When to Use This Skill Use this skill when any of the following conditions are present: - **Real-time safety monitoring**: A live XR or bench camera feed must be monitored for common procedural errors so the operator can be alerted immediately (e.g., "Tube uncapped before centrifuge — cap before spinning"). - **Post-hoc experiment audit**: A recorded experiment video must be scanned for errors that could explain failed or incons
- Overview
- When to Use This Skill
- Core Capabilities
- 1. Error Taxonomy & Detection Rules
- 2. Video Analysis Pipeline
- 3. Severity Assignment & Escalation
- 4. Corrective Action Suggestions
- 5. Structured JSON Output
- 6. Real-Time vs. Post-Hoc Modes
- Usage Examples
- Example 1 — Real-Time Uncapped Tube Alert
- Example 2 — Post-Hoc Audit: Forgotten Reagent + Volume Mismatch
- Example 3 — Cross-Contamination Risk (No Protocol)
- Integration Notes
What does the detect_common_wetlab_errors skill do?
Detects common wet-lab procedural and safety errors from XR or fixed-camera lab video. Identifies pipette volume deviations, forgotten reagent additions, uncapped tubes, contamination risks, sample mix-ups, and other observable hazards. Outputs structured JSON with error type, timestamp, severity, and corrective action suggestions for real-time alerts or post-hoc audit.
How do I install it?
Run `npx skills add BioTender-max/awesome-bio-agent-skills --skill detect_common_wetlab_errors --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 BioTender-max/awesome-bio-agent-skills, a repository with 135 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.