Failure Mode Rank

Organization

microsoft

failure-mode-rank

Ranks the likely failure modes for a fault against the failure-mode library, symptoms, alarm codes and repeat-failure history, deterministically. Use when the user says "what's the likely cause", "rank the failure modes", "diagnose this fault", "is this the real root cause?", or after history-retrieve completes.

Overview

Publisher	microsoft
Repository	`cat-agent-skills`
Skill name	`failure-mode-rank`
Stars	95
Forks	115
Bundled files	6
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
6 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Failure Mode Rank AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/microsoft/cat-agent-skills/tree/main/submissions/maintenance-triage/skills/failure-mode-rank
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/microsoft/cat-agent-skills/tree/main/submissions/maintenance-triage/skills/failure-mode-rank

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/maintenance-triage/skills/failure-mode-rank .claude/skills/failure-mode-rank

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Failure Mode Rank in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Failure Mode Rank on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Failure Mode Rank is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Failure-Mode Rank

Purpose

Deterministically rank the candidate failure modes for the fault, matching symptoms and alarm codes to the failure-mode library and applying the repeat-failure root-cause promotion rule.

When to use

After history-retrieve, in every triage run.
"What's the likely cause?" / "rank the failure modes" / "is the reset masking something?".

Inputs

The contract payload with symptoms[], alarm_codes[], and history{} (contract mfg.maintenance-triage.v1).

Steps

Validate the payload against the contract.
Run scripts/fault_rank.py --intake fault-intake.json --out ranked-causes.json.
Do not restate or recompute any score in prose; quote the engine output verbatim.
Emit the {ranked_causes} contract payload.

Output

Contract mfg.maintenance-triage.v1 with populated ranked_causes[] (rank, failure_mode, match_score, evidence, recommended_fix, confidence, source=engine:fault_rank, citation) and history.repeat_promotion — the {ranked_causes} hop.

Grounding requirements

Every ranked cause carries its OEM manual / library citation; the promotion of a root cause over a symptomatic fix cites references/failure-mode-library.md #3.1.

Constraints

All ranking math happens in the engine. The model must never re-rank causes itself.
No priority or cost talk here — that is criticality-rank's job.
Never suppress the repeat-failure promotion because a cheaper symptomatic fix "usually works".

Escalation / uncertainty

Top candidate confidence below the 0.75 floor, or two candidates within the ambiguity band: the engine adds to escalations[]; surface it and route to a human diagnosis (failure-mode-library.md #4.1-#4.2).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Failure Mode Rank AI skill do?

Why use Failure Mode Rank on TypingMind?

Because you install it once and use it with any model. Failure Mode Rank is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Failure Mode Rank in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/maintenance-triage/skills/failure-mode-rank. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Failure Mode Rank?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Failure Mode Rank?

As many as you like. As long as a model supports skills, you can use Failure Mode Rank with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Failure Mode Rank AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Failure-Mode Rank

Purpose

When to use

Inputs

Steps

Output

Grounding requirements

Constraints

Escalation / uncertainty

Bundled files

Frequently asked questions

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