RELSA Severity Assessment
Scores lab animal welfare severity per animal per day and forecasts future scores from multivariate readouts
- Repository
- K-Dense-AI/scientific-agent-skills
- Stars
- 55,780
- Licence
- MIT
- Files
- 9 files
What it does
Once installed, the agent can combine several welfare measurements (such as body weight, temperature, clinical scores and biomarkers) for each animal into a single relative severity score, using a reference group as the comparison scale. It can also estimate candidate severity zones from the data and run an exploratory ARIMA forecast of the score at a chosen future time. It is a calculation aid for scientific reporting, not a decision-maker about animal welfare or humane endpoints.
Great for
- Researchers in animal studies writing severity or refinement sections of welfare reports
- Animal welfare officers or 3Rs analysts comparing severity across groups or models
- Developers who want a documented Python implementation of the RELSA method
Skip it if
- Deciding whether an animal has reached a humane endpoint: the forecasts are exploratory and cannot override observed welfare signs or approved criteria
- Regulatory severity grading under EU Directive 2010/63/EU: the thresholds are model-specific candidate zones, not official categories
- Time-to-death or probability-of-death predictions: the forecast estimates a score at a fixed time only
Try asking
- “Compute a RELSA severity score per animal per day from my cohort CSV, treating clinical score and IL-6 as turned variables”
- “Save a reference set from my control group and reuse it so later cohorts stay on the same scale”
- “Estimate candidate severity zones from my RELSA scores using kernel density minima”
- “Forecast each mouse's severity score at day 7 and report RMSE and prediction interval coverage”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 9 original files, the MIT licence and an attribution note.
relsa-severity-assessment.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip relsa-severity-assessment.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip relsa-severity-assessment.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Declare directionality explicitly with the turned option for variables that rise under worsening, since a wrong declaration silently drops the variable
- Choose and document the reference set and save it with save-reference so later cohorts are comparable
- Treat forecasts and zones as exploratory and state the reference set, bandwidth and boundaries in any report
What's inside
- assets/example_cohort.csv
- references/forecasting.md
- references/relsa-method.md
- references/thresholds-and-zones.md
- scripts/_common.py
- scripts/forecast_relsa.py
- scripts/kde_thresholds.py
- scripts/relsa_score.py
- SKILL.md
Redistributed unmodified from K-Dense-AI/scientific-agent-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.