fault-tree-analysis
Conduct Fault Tree Analysis (FTA) for system failure analysis using Boolean logic gates. Identifies minimal cut sets, single points of failure, and failure probabilities.
Plugin bundle · by dunnock
About
fault-tree-analysis is a plugin bundle for AI coding tools published by dunnock. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-15 and have recorded no change since. As of our marketplace pass on 2026-10-19.
What it asks for
- Installs as a plugin bundle
None of the marketplaces we read publishes its tools or the settings it asks for.
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Works with
- Claude Code
From the marketplaces that list it and the MCP transport it declares, as each client documents them. We do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a Claude Code plugin
Built from what Community GitHub marketplaces declares.
/plugin marketplace add ddunnock/claude-plugins
/plugin install fault-tree-analysis@ddunnock-claude-plugins
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace ddunnock/claude-plugins (Open the source on GitHub) | Listed | 1.0.2 | Forks (GitHub): 7 Stars (GitHub): 14 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
Listed in one community marketplace
| Marketplace | Repository | Stars (GitHub) |
|---|---|---|
| ddunnock-claude-plugins | ddunnock/claude-plugins | 14 |
What changed
- Became a product we track
- Community GitHub marketplaces: appeared
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Conduct FMEA for systematic failure mode identification using AIAG-VDA 7-step methodology. Supports DFMEA, PFMEA, and FMEA-MSR with Action Priority risk assessment.
-
fmeca io.github.praxec/fmeca
Deterministic, offline FMECA MCP server: failure modes, criticality matrix, mitigations, readiness
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
-
Conduct rigorous 5 Whys root cause analysis with guided questioning, quality scoring, and professional report generation. Includes validation tests and countermeasure development.
-
Root Cause Analysis investigation — systematic failure diagnosis using layered taxonomy, causal chain analysis, and corrective action validation.
-
Conduct Kepner-Tregoe (KT) PSDM analysis using Situation Appraisal, Problem Analysis (IS/IS NOT), Decision Analysis (MUSTS/WANTS), and Potential Problem Analysis.
-
analytical-troubleshooting
Structured live troubleshooting for deviation problems: something worked (or should work) and now doesn't, and the cause is unknown
-
Conduct Pareto Analysis (80/20 Rule) to identify vital few causes driving majority of problems. Generates Pareto charts and prioritization reports.
-
Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.
-
A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
A causal inference plugin for AI agents. Describe a problem in plain language and it helps you choose a method, check assumptions, write the analysis in R or Python, and…
-
Agent Trace Triage is a Claude Code plugin for developers building agentic AI systems (LangGraph, CrewAI, custom tool loops, MCP agents). When an agent run fails, stuck in a loop…
-
Effort estimation for AI coding agents. PERT three-point estimation with METR reliability thresholds, modifier stacks (spec clarity, warm context, agent fit), and wave planning…
-
Institutional-grade Business Analysis skills for Claude. Methodology-grade outputs grounded in BABOK and real delivery experience. Includes four plugins: Capability Mapping (MECE…
-
End-to-end data analysis workflow plugin for Claude Code. Covers the full pipeline from EDA to model training - EDA, preprocessing, statistical analysis, feature engineering, and…
Has a listing on Claude Code: claude-plugins-official (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Enhance code quality and security through PagerDuty risk scoring and incident correlation. Score pre-commit diffs against historical incident data and surface deployment risk…
-
Analyze business data and build custom Pigment models, metrics, and boards through natural language.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
Has a listing on Claude: knowledge-work-plugins (5)
-
Write SQL, explore datasets, and generate insights faster. Build visualizations and dashboards, and turn raw data into clear stories for stakeholders.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
-
Build multimodal AI applications with Pixeltable -- tables, computed columns, embedding search, UDFs, tool-calling agents, and 25+ AI provider integrations.
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Answer product and business questions with data
-
CrowdStrike Falcon Fusion skills for authoring, deploying, and executing Fusion workflows. Includes live action discovery, YAML authoring with schema validation, workflow import…
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
Has a listing on Community GitHub marketplaces (5)
-
Conduct FMEA for systematic failure mode identification using AIAG-VDA 7-step methodology. Supports DFMEA, PFMEA, and FMEA-MSR with Action Priority risk assessment.
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
-
Conduct rigorous 5 Whys root cause analysis with guided questioning, quality scoring, and professional report generation. Includes validation tests and countermeasure development.
-
Root Cause Analysis investigation — systematic failure diagnosis using layered taxonomy, causal chain analysis, and corrective action validation.
-
Conduct Kepner-Tregoe (KT) PSDM analysis using Situation Appraisal, Problem Analysis (IS/IS NOT), Decision Analysis (MUSTS/WANTS), and Potential Problem Analysis.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
A comprehensive collection of specialized agents for software analysis, impact assessment, structural quality advisories, and architectural review using CAST Imaging.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Task Researcher and Task Planner for intermediate to expert users and large codebases - Brought to you by microsoft/edge-ai
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Advanced Security plugin for GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Build and manage Microsoft Dataverse solutions using natural language. Includes table/column creation, solution lifecycle, data operations, and MCP server configuration.
Has a listing on Cursor: cursor/plugins (5)
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Draw and export hand-drawn diagrams from chat.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
-
Track AI visibility, sentiment, and citations.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
Has a listing on Docker MCP Catalog (5)
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Connect your chat repl to wolfram alpha computational intelligence.
-
Real-time web search, reasoning, and research through Perplexity's API
-
mcp-grafana io.github.grafana/mcp-grafana
An MCP server giving access to Grafana dashboards, data and more.
Has a listing on Official MCP Registry (5)
-
fmeca io.github.praxec/fmeca
Deterministic, offline FMECA MCP server: failure modes, criticality matrix, mitigations, readiness
-
misakanet io.github.Ikalus1988/misakanet
Failure-memory layer for coding agents: search evidence-rated failure lessons by error text.
-
Causal DAG analysis: backdoor paths, adjustment sets, bias simulation. Validated against dagitty.
-
Diagnose why an AI agent failed and get the verified fix instantly. Free, no token.
-
Valid and reliable data engineering and statistical analysis without hallucinations.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Want this mark on your plugin in our catalog?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record, and you can show this mark on the card, with live banners for your site and README. How verification works
You also get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and its remote endpoint goes on monitoring as a web service.
Data comes from public marketplace files in GitHub repositories of their authors. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.