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.
Pacote de plugins · de dunnock
Resumo
fault-tree-analysis é um pacote de plugins para ferramentas de programação com IA publicado por dunnock. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). Vimos pela primeira vez em 2026-10-15 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-18.
O que pede
- Instala-se como pacote de plugins
Nenhum dos marketplaces que lemos publica as ferramentas ou as configurações que ele pede.
O que declara, pede e executa, por completo
Instale apenas plugins de desenvolvedores em quem você confia. Mostramos o que os marketplaces publicam e não testamos plugins.
Funciona com
- Claude Code
Pelos marketplaces que o listam e pelo transporte MCP que declara, conforme cada cliente documenta. Não testamos plugins.
Conectar
Comandos e configurações gerados apenas a partir do que os marketplaces declaram. Não os executamos por você e não testamos plugins.
Como plugin do Claude Code
Gerado a partir do que Community GitHub marketplaces declara.
/plugin marketplace add ddunnock/claude-plugins
/plugin install fault-tree-analysis@ddunnock-claude-plugins
Onde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade ddunnock/claude-plugins (Abrir o código no GitHub) | Listado | 1.0.2 | Forks (GitHub): 7 Estrelas (GitHub): 14 |
Sem marcação |
Cada número é do próprio marketplace e nunca é somado entre marketplaces. Um marketplace que não publica números não mostra nenhum: sem número não é zero.
Listado em um marketplace da comunidade
| Marketplace | Repositório | Estrelas (GitHub) |
|---|---|---|
| ddunnock-claude-plugins | ddunnock/claude-plugins | 14 |
O que mudou
- Passou a ser um produto que acompanhamos
- Community GitHub marketplaces: apareceu
Plugins semelhantes
Produtos cujos próprios nomes, descrições, ferramentas e skills são os mais próximos deste pelo significado, em todos os marketplaces que lemos. A proximidade é ordenada apenas dentro desta lista.
-
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…
Plugins semelhantes por marketplace
A mesma pergunta feita a cada marketplace separadamente: existe lá um equivalente deste plugin?
Listado em 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…
Listado em 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…
Listado em 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.
Listado em 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…
Listado em 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.
Listado em 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
Listado em 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.
Listado em 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.
Listado em 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.
Listado em 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.
Encontrados pelo significado, não por código ou repositório em comum: plugins semelhantes continuam sendo produtos distintos, e isto não é uma avaliação nem uma recomendação.
Quer esta marca no seu plugin em nosso catálogo?
Prove que o mantém com um arquivo no repositório, um arquivo no seu domínio ou um registro DNS, e você poderá mostrar esta marca na ficha, com banners ao vivo para o seu site e o README. Como funciona a verificação
Você também recebe alertas quando um marketplace o publica, o remove, muda a marca de verificado ou o que ele pede, e o endpoint remoto passa a ser monitorado como um serviço web.
Dados de Community GitHub marketplaces. Os números vêm das nossas próprias passagens regulares pelos marketplaces, última leitura em . Não publicamos dados de contato dos editores de plugins.