jevbooks

← All projects

jev-review

NiazMorshed2007/jev-review

Local MCP server giving coding agents Jev quality scores.

Scoring & Ranking0.86Runner-up: Evaluation & BenchmarkingViewfinder
Automated README summary

Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Jev Review is a local-first MCP plugin that gives Claude Code, Codex, Cursor, and OpenCode structured software-quality scores while they work, across correctness, complexity, changeability, modularity, tests, security, and other dimensions.

How it uses Jev

The agent calls the single MCP tool `jev_review` with a task, focused diff, optional files, repository context, and a previous evaluation. Jev returns typed Score, Choice, and Noul decisions, which Jev Review converts into metric scores, confidence, rubric hints, and deltas; the agent diagnoses and changes the code.

Primitives:choicescorenoul

Technique worth stealing

Repeated scalar feedback loop: baseline score, agent hypothesis, smallest justified improvement, rescore with previousEvaluation to see deltas.

Try it

export JEV_API_KEY="your-key"; npx plugins add NiazMorshed2007/jev-review; restart your client.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.77
  • Shows a System One patternnot found in the excerpt0.22
  • Describes handling uncertaintynot found in the excerpt0.06
  • Reports measured numbersnot found in the excerpt0.05
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.34
  • Is a replica of the modelnot found in the excerpt0.06
  • Solves a common problem (0–2)score on a 0–2 scale1.57 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.77Shows a System One pattern0.22Describes handling uncertainty0.06Reports measured numbers0.05Is a runnable tool0.96Top-10 learning shortlist signal0.34Is a replica of the model0.0600.51Solves a common problem (0–2)1.57 / 2012

no-judgment band (0.40–0.60)

Design patterns
Viewfinder0.79Questionnaire0.39Inspection0.25Fail open, fail closed0.2400.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.