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Uncertainty Imaging

Category: Engineering  ·  Sub-category: devops  ·  Last updated:
type:audit
Design or audit the uncertainty-quantification, out-of-distribution (OOD) detection, and selective-prediction layer of a medical-imaging model framed for deployment — so a clinical-use claim carries calibrated per-case uncertainty (MC-dropout / deep ensemble / conformal / Bayesian), an OOD guard validated on a held-out OOD set, an abstention rule at a pre-specified operating point, and uncertainty checked under distribution shift. Emits an uncertainty manifest and a deterministic gate that flags a deployment claim built on point predictions, conformal intervals with unmeasured coverage, and an OOD claim with no held-out OOD data. Integrates MAPIE / captum / pretrained OOD scorers; it does not reimplement them and never runs a model on real patient data.
Security AStatic scan found no risk patternsHow grading works ›

About this skill (catalog notes)

Uncertainty Imaging includes explicit scope boundaries (an explicit 'when not to use' or 'out of scope' section); pricing or quota commentary; at least one code block. The SKILL.md runs to about 898 words, in the catalog's typical mid-range.

Source
aperivue.com/skills
Original author
Aperivue
Indexed lastmod
Catalog position
Engineering · devops
Indexed related skills
10

How Uncertainty Imaging fits the catalog

Uncertainty Imaging sits in the Engineering category under the devops sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

What this skill does

Uncertainty Imaging is a community-contributed Claude Code skill in the devops sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/uncertainty-imaging/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Uncertainty Imaging Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 157,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/uncertainty-imaging
curl -L https://claudskills.com/skills/uncertainty-imaging/SKILL.md \
  -o ~/.claude/skills/uncertainty-imaging/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/uncertainty-imaging/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/uncertainty-imaging/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\uncertainty-imaging\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

Frequently asked questions

How do I install the Uncertainty Imaging Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/uncertainty-imaging/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Uncertainty Imaging skill do?
Design or audit the uncertainty-quantification, out-of-distribution (OOD) detection, and selective-prediction layer of a medical-imaging model framed for deployment — so a clinical-use claim carries calibrated per-case uncertainty (MC-dropout / deep ensemble / conformal / Bayesian), an OOD guard validated on a held-out OOD set, an abstention rule at a pre-specified operating point, and uncertainty checked under distribution shift. Emits an uncertainty manifest and a deterministic gate that flags a deployment claim built on point predictions, conformal intervals with unmeasured coverage, and an OOD claim with no held-out OOD data. Integrates MAPIE / captum / pretrained OOD scorers; it does not reimplement them and never runs a model on real patient data.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Uncertainty Imaging skill?
Use Uncertainty Imaging when your Claude Code task falls under the Engineering category — specifically in the devops area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Uncertainty Imaging" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Uncertainty Imaging skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Uncertainty Imaging is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
Aperivue. (2026). Uncertainty Imaging [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/uncertainty-imaging/
BibTeX
@misc{uncertainty-imaging-2026,
  author    = {Aperivue},
  title     = {Uncertainty Imaging [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/uncertainty-imaging/}
}

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Grade A · scanned 2026-07-22 — free static scan against the OWASP Agentic Skills Top 10.

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More Engineering skills

Browse all Engineering skills in the ClaudSkills registry, or explore these other picks from the same category:

Browse all Engineering skills → Top 100 skills
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