jev
Cheap, fast, typed AI judgments inside Claude Code via the jevctl CLI: verify claims against evidence, screen fetched text for prompt injection, rank candidates by meaning, and…
Plugin bundle · by Nasr Shaer
About
jev is a plugin bundle for AI coding tools published by Nasr Shaer. Marketplaces we read that list it: 1 (Community GitHub marketplaces). We first saw it on 2026-10-29 and have recorded no change since. As of our marketplace pass on 2026-10-29.
Cheap, fast, typed AI judgments inside Claude Code via the jevctl CLI: verify claims against evidence, screen fetched text for prompt injection, rank candidates by meaning, and ask yes/no, multiple-choice, or rating questions.
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 nasrallah-al/jev-cli
/plugin install jev@jev-cli
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Community marketplace nasrallah-al/jev-cli (Open the source on GitHub) | Listed | 0.2.0 | No figure published | 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) |
|---|---|---|
| jev-cli | nasrallah-al/jev-cli | 22 |
What the bundle contains
As published on Community GitHub marketplaces.
Skills: 1
jev
Commands: 8
askclassifycompactextractfindroutescreenverify
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.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
epistemic-fault-line-audit-adrian-lerer
Audits legal AI outputs, prompts, skills, workflows and MCP/tool instructions for fluent but unsupported reasoning, missing evidence, overconfidence, hidden assumptions, weak…
-
Consult Jev for bounded typed second opinions during agent work: compare plans, check claims against supplied evidence, prioritize investigations, and challenge conclusions. Uses…
-
Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Score two AI outputs, get exact failure reasons, and issue a $0.01 USDC receipt via x402.
-
Decide, design, gate, judge, and defend evaluations for LLM, agent, and retrieval systems. Not ordinary unit tests.
-
LLM evaluation methodology and eval-suite design, based on Anthropic's evaluation guidance. /evals:methodology answers questions on success criteria, eval design, and grading…
-
Rosey – Quality verification for human and AI content
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
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)
-
Context engineering plugin for Claude Code — real-time prompt scoring, RLM adaptive weights, and token optimization. Scores every tool use across 5 dimensions (token utilization…
-
Claude Perfectionist audits your Claude Code instruction harness — CLAUDE.md, rules, hooks, settings, MCP config — and finds contradictions, missing verification, stale commands…
-
LGBTQIA+ safety tools for LLM engineers — audit prompts, review code, and catch harms before you ship
-
Break through difficult problems by gathering diverse AI perspectives in parallel. Consensus queries multiple AI providers concurrently — GPT-5.2, Gemini 3.1 Pro, and DeepSeek…
-
AI agent evaluation sandbox for Claude Code. Holdout scenario testing with Doer/Judge/Adversary/Observer roles, probabilistic satisfaction scoring, and append-only JSONL audit…
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.
-
Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering…
-
Generate an explorable HTML report of Claude Code session usage — tokens, cache efficiency, subagents, skills, and the most expensive prompts — from local ~/.claude/projects…
-
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.
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Connects Claude Code to the Synthflow AI voice-agent platform through its hosted MCP server, with skills for reviewing calls and auditing agent prompts, plus a docs-search…
-
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…
-
Speed up contract review, NDA triage, and compliance workflows for in-house legal teams. Draft legal briefs, organize precedent research, and manage institutional knowledge.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
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.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Answer product and business questions with data
-
AI-powered code review in Codex, powered by CodeRabbit.
-
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…
Has a listing on Community GitHub marketplaces (5)
-
epistemic-fault-line-audit-adrian-lerer
Audits legal AI outputs, prompts, skills, workflows and MCP/tool instructions for fluent but unsupported reasoning, missing evidence, overconfidence, hidden assumptions, weak…
-
Consult Jev for bounded typed second opinions during agent work: compare plans, check claims against supplied evidence, prioritize investigations, and challenge conclusions. Uses…
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
Decide, design, gate, judge, and defend evaluations for LLM, agent, and retrieval systems. Not ordinary unit tests.
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Three-layer verification pipeline for AI output. Extracts claims, finds sources, and flags hallucination risks so humans can verify before acting.
-
Multi-model council for Copilot CLI: three subagents on different model families (Anthropic, OpenAI, Google) answer independently, then build on each other or attack the leading…
-
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…
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with…
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
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
-
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.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
Has a listing on Cursor: cursor/plugins (5)
-
Search company knowledge and draft verified answers.
-
Track AI visibility, sentiment, and citations.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Consult a stronger model before major decisions, when stuck, and before declaring done.
-
Enrich people and companies, run AI research agents.
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Production-ready RAG service to search and retrieve data from your documents.
-
Real-time web search, reasoning, and research through Perplexity's API
-
Analyze documents, images, videos, and audio.
-
Sequential Thinking (Reference)
Dynamic and reflective problem-solving through thought sequences.
Has a listing on Official MCP Registry (5)
-
Pay-per-call AI evaluation MCP server. Score LLM outputs against benchmark rubrics via Workers AI.
-
Score two AI outputs, get exact failure reasons, and issue a $0.01 USDC receipt via x402.
-
Rosey – Quality verification for human and AI content
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
-
Local-first MCP server for LLM output verification — risk signals, injection and PII checks.
-
Scores whether AI assistants can read, understand and quote a public website. No account.
Has a listing on PyPI (MCP servers) (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
air-blackbox-mcp io.github.airblackbox/air-blackbox-mcp
EU AI Act compliance scanner for Python AI agents. 14 tools across 6 articles.
-
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
-
Read, measure and explain LLM eval runs of a digline suite. Cannot promote a baseline.
-
Connect AI assistants to Outline for document search, reading, and management
Has a listing on npm registry (MCP servers) (5)
-
Build AI-powered forms, scored assessments and professional reports on FormLM, by natural language.
-
Typed AI judgments for agents: choice, score, and yes/no probabilities instead of prose.
-
jev_classify, jev_check, jev_score, jev_rank, jev_ask over MCP, plus the /jev skill.
-
dossier ai.imboard/dossier
MCP server for dossier automation standard - enables LLMs to discover, verify, and execute dossiers
-
AI visibility and SEO data for AI agents: citations, keywords, trends, and scheduled trackers.
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.