furikaeri
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing…
Pacote de plugins · de hiropon
Resumo
furikaeri é um pacote de plugins para ferramentas de programação com IA publicado por hiropon. Marketplaces que lemos e que o listam: 1 (Community GitHub marketplaces). Vimos pela primeira vez em 2026-10-21 e não registramos mudanças desde então. Conforme nossa passagem pelos marketplaces em 2026-10-27.
Retrospective of one Claude Code session from its jsonl log, published as an artifact page: where the time went between the AI working and the person reading, thinking and typing, the phases, what went wrong ranked by impact, and the full exchange collapsed by phase. A sonnet subagent writes the analysis; every number is computed from the log
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 hiroro-work/claude-plugins
/plugin install furikaeri@hiropon-pluginsOnde está publicado
| Marketplace | Status | Versão | Números | Verificado | Visto pela primeira vez |
|---|---|---|---|---|---|
| Marketplace da comunidade hiroro-work/claude-plugins (Abrir o código no GitHub) | Listado | 1.0.2 | Forks (GitHub): 3 Estrelas (GitHub): 47 |
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) |
|---|---|---|
| hiropon-plugins | hiroro-work/claude-plugins | 47 |
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.
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Per-turn token, cost, and cache analytics for Claude Code sessions. Multi-format export (text/JSON/CSV/MD/HTML) with session blocks, weekly roll-up, subagent attribution…
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
Analyze Claude Code chat history to identify context window bloat sources and get optimization recommendations. Parses JSONL session files and reports on image usage, file…
-
Track your Claude Code sessions automatically. Promptbook records prompts, token usage, build time, lines changed, and primary language, then turns each session into a shareable…
-
Automatically trace Claude Code conversations to Braintrust. Captures user messages, assistant responses, and tool calls for observability.
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
Deep analytics and monitoring for Claude Code sessions — cost tracking, token usage breakdowns, usage trends, and productivity scoring powered by Agent Monitor.
-
A Claude Code plugin that automatically detects and logs human steering moments from AI-assisted development sessions.
-
Local usage board for Claude Code. A hooks module records one metadata row per turn (exact engine cost, tokens by model, tool calls, agent spawns, context fill, rate-limit…
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)
-
Track your Claude Code sessions automatically. Promptbook records prompts, token usage, build time, lines changed, and primary language, then turns each session into a shareable…
-
Self-improving measurement layer for Claude Code. Reads JSONL session data, computes effectiveness metrics, writes behavioral rules into CLAUDE.md.
-
A Claude Code plugin that automatically detects and logs human steering moments from AI-assisted development sessions.
-
Mines every Claude Code session into a local SQLite database and provides a /mine skill with 18+ natural language query intents. Track costs, tokens, tools, projects, errors…
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
Listado em Claude Code: claude-plugins-official (5)
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
-
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
Listado em Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Atlan data catalog plugin for Claude Code. Search, explore, govern, and manage your data assets through natural language. Powered by the Atlan MCP server with semantic search…
-
Bring Pendo product analytics into Claude Code: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Streamline engineering workflows — standups, code review, architecture decisions, incident response, and technical documentation. Works with your existing tools or standalone.
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.
-
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…
-
Answer product and business questions with data
-
Inspect recent issues and events in Sentry from Codex.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
Listado em Community GitHub marketplaces (5)
-
Analyze Claude Code session logs to identify what went well, what didn't, and how to improve developer-AI collaboration. Suggests new skills, subagents, slash commands, hooks, and…
-
Per-turn token, cost, and cache analytics for Claude Code sessions. Multi-format export (text/JSON/CSV/MD/HTML) with session blocks, weekly roll-up, subagent attribution…
-
Analyze Claude Code chat history to identify context window bloat sources and get optimization recommendations. Parses JSONL session files and reports on image usage, file…
-
Automatically trace Claude Code conversations to Braintrust. Captures user messages, assistant responses, and tool calls for observability.
-
Deep analytics and monitoring for Claude Code sessions — cost tracking, token usage breakdowns, usage trends, and productivity scoring powered by Agent Monitor.
Listado em Copilot CLI: github/awesome-copilot (5)
-
Turn your Copilot sessions into proof of impact — research-grounded HTML reports with effort estimation, skills analysis, and ROI metrics from local session logs.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
-
A runtime-portable 5-agent quality gate that adjudicates text artifacts before they ship. Five role-conditioned LLM deliberators run a 2-round async protocol with cross-read…
-
Goal-driven task orchestration with independent verification. Interviews the user to define a clear goal, then loops between a Builder subagent (does the work) and an Inspector…
-
Shows live prompt-cache reuse, expiry, token composition, and AI Credit cost for the current GitHub Copilot session without making model calls.
Listado em Copilot CLI: github/copilot-plugins (5)
-
workiq-productivity
WorkIQ productivity skills powered by the local WorkIQ CLI — read-only insights across email, meetings, calendar, Teams, SharePoint, projects, and people.
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
Advanced Security plugin for GitHub Copilot.
Listado em Cursor: cursor/plugins (5)
-
Track AI visibility, sentiment, and citations.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Ask Databricks Genie questions about your workspace's data in plain language.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Search meeting transcripts, summaries, and action items.
Listado em Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Analyze documents, images, videos, and audio.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
MCP server for terminal commands, file operations, and process management
-
Stop stitching context for Copilot and Cursor. With Sequa MCP, your AI tools know your entire codebase and docs out of the box.
Listado em Official MCP Registry (5)
-
Turn-level governance observability for Claude Code transcripts. Local-first, no LLM inside.
-
Context Assurance for AI agents: context engineering, AI cost optimization, verification.
-
Context hygiene for Claude Code: drift detection, re-read dedup, and token analytics.
-
Run local prompt regression checks from prompt-response logs in AI coding assistants.
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
Listado em PyPI (MCP servers) (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Langfuse MCP server for accessing and analyzing telemetry data via natural language
-
Connect AI assistants to Outline for document search, reading, and management
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
Listado em npm registry (MCP servers) (5)
-
review-assist-mcp io.github.uditk2/review-assist-mcp
Turns an AI coding agent session into a reviewable Intent Document, validated against the diff.
-
redash-mcp io.github.seob717/redash-mcp
Connect Redash to Claude -- query data, manage dashboards, and run SQL with natural language.
-
mistral-mcp io.github.Swih/mistral-mcp
Mistral MCP server: extract invoices and documents from text, Markdown or OCR into typed JSON.
-
Shared project memory for Claude Code, Codex and Cursor: decisions, corrections, overlap warnings.
-
Local persistent memory and Markdown wiki for AI coding agents: 24 MCP tools, no gateway required.
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.