jevbooks

← All projects

supercov

supercorp-ai/supercov · Homepage

Code quality, security and coverage for coding agents.

Scoring & Ranking0.92Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 2 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

Supercov scores code quality and flags security risks for coding agents, runs the test command you already use, and turns uncovered paths into small actionable queries so an agent can pick a target and prove what improved.

How it uses Jev

Jev answers twelve Noul properties per source file for quality scoring, twelve security checks per file, and test-by-test assertion questions about whether changing a covered statement would fail the test. Answers are cached by content and reused across runs.

Primitives:noul

Technique worth stealing

Cache Jev answers by content so only changed files are re-asked after a commit.

Try it

npx supercov quality (needs TYPESAFE_API_KEY); npx supercov -- npm test for coverage.

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 material0.81
  • Shows a System One patternFound in material0.77
  • Describes handling uncertaintynot found in the excerpt0.04
  • Reports measured numbersnot found in the excerpt0.15
  • Is a runnable toolFound in material0.96
  • Top-10 learning shortlist signalnot found in the excerpt0.31
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.51 / 2
  • About JevFound in material0.96
Signals
Jev is core to the project0.81Shows a System One pattern0.77Describes handling uncertainty0.04Reports measured numbers0.15Is a runnable tool0.96Top-10 learning shortlist signal0.31Is a replica of the model0.0400.51Solves a common problem (0–2)1.51 / 2012

no-judgment band (0.40–0.60)

Design patterns
Scorecard0.37Questionnaire0.35Viewfinder0.2200.51

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 2 Oct 2026.