Agent skill · science-research · K-Dense-AI

uncertainty-and-units agent skill by K-Dense-AI

Tracks physical units and propagates measurement uncertainty in scientific calculations using pint and uncertainties. Use for unit conversion and dimensional checking, GUM uncertainty budgets, Type A and Type B evaluation, coverage factors and expanded uncertainty, Monte Carlo propagation, significant-figure and plus-minus reporting, error propagation through curve fits, CODATA constants, auditing Python code for stripped units or broken uncertainty propagation, and order-of-magnitude plausibility checks using dimensionless groups (Reynolds, Peclet, Damkohler, Knudsen, Biot, Womersley), characteristic scales such as diffusion time or Debye length, and observed magnitude ranges. Trigger on "is this number physically reasonable", "sanity check these units", "what regime is this flow in", or a result that looks off by orders of magnitude.

Source and license

PublisherK-Dense-AI
RepositoryK-Dense-AI/claude-scientific-skills
LicenseMIT
Snapshot2026-10-22
Last repository commit2026-10-12
Instruction size2,740 words; 403 lines
Bundled files15

Read the publisher’s SKILL.md

Suede Skill Check: 90/100 · A

Report snapshot · · graded-v2

The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.

Source revision: a1043ef544e3. Report version 6a09ae37ee9d. Badge URLs follow the latest listing; save the report to keep this version.

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What to review next

  • Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
  • Description length: 3 of 5 points. 5 for 150–600 characters; 3 for 100–900; 1 for 50–1,024.

Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.

ComponentPoints earnedAvailable
Structural checks5656
Description length35
Boundary clause04
Example request33
Instruction depth77
Reference files33
Bundled scripts22
Recent maintenance99
Curated-list citations37
Tool permissions declared22
Compatibility declared22

The published score is capped at 99. It measures the published files, documentation and maintenance signals. Security scan: not scanned. This assessment does not include a runtime test or a full installation-dependency review.

Install uncertainty-and-units

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

Skills CLI
npx skills add https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/skills/uncertainty-and-units
Claude Code, project-level copy
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 "$tmp/repo/"skills/uncertainty-and-units .claude/skills/
rm -rf "$tmp"
Codex, project-level copy
tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/K-Dense-AI/claude-scientific-skills.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/uncertainty-and-units .agents/skills/
rm -rf "$tmp"

For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.

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

Two badges for uncertainty-and-units

Suede Skill Check: 90/100Suede Skill Check: Grade A

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