relsa-severity-assessment agent skill by K-Dense-AI

At a glance

Before you install

Read from the skill's files at the directory's October 19, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.

• Bundled scripts: 4 script files (4 Python). Your agent may run them, so read them first.
• Commands in SKILL.md: its code blocks run pip install, which fetches or runs software from outside the skill folder.
• Tool permissions requested: Read Write Edit Bash (the allowed-tools field of SKILL.md).
• License: MIT, an open-source or open-content license.

Install relsa-severity-assessment

The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.

npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/relsa-severity-assessment

tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/relsa-severity-assessment .claude/skills/
rm -rf "$tmp"

python3 ~/.codex/skills/.system/skill-installer/scripts/install-skill-from-github.py \
    --repo K-Dense-AI/claude-scientific-skills \
    --path skills/relsa-severity-assessment

K-Dense-AI/claude-scientific-skills is third-party code. Read SKILL.md and any bundled scripts before you install it.

How the author describes it

Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint at a specified future observation time, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.

From the description field of SKILL.md. Agents read this line to decide when to load the skill.

Compatibility, from SKILL.md

Sections in SKILL.md

• Overview
• When to use this skill
• Installation
• Data format
• The four decisions that determine the result
• Workflow
• Step 1 — compute RELSA scores
• Step 2 — forecast a score at a known evaluation time
• Step 3 — put the score in context with severity zones
• Boundaries: state these when you report
• Reporting checklist
• Common pitfalls
• Resources
• Scripts
• References
• Assets

Files in the skill folder

• SKILL.md
• 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

Suede Skill Check: 88/100 · B

relsa-severity-assessment passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.

Where this skill is cited

K-Dense-AI/claude-scientific-skills appears in 2 curated lists: BehiSecc/awesome-claude-skills, travisvn/awesome-claude-skills.

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