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SuresoftTechnologies/dvera-plugin

by Various

DVERA agent skills for CT C/C++ verification workflows: project setup, analysis, test generation, coverage, reporting, and regression.

MCP

SuresoftTechnologies/dvera-plugin

Added 23 Sept 2026

#c #claude-code #claude-code-plugin #claude-code-plugins #claude-skills #code-coverage #cpp #embedded

Overview

A Python plugin that adds agent skills for C/C++ verification workflows using DVERA. It covers project setup, static analysis, test generation, coverage measurement, reporting, and regression testing. The plugin is hosted on GitHub under SuresoftTechnologies.

Best for

Best for
C/C++ teams using DVERA who want to automate verification tasks

Use cases

  • Set up C/C++ verification projects
  • Generate tests and measure coverage
  • Run regression and reporting workflows

How to use

Tools exposed

  • ct-init-project
  • ct-extract-macro
  • ct-make-conf
  • ct-setup-project
  • ct-analysis-loop
  • ct-test-loop
  • ct-kb-update
  • ct-regression
  • ct-self-healing
  • ct-run-gtest
  • ct-req-to-test
  • ct-report
  • ct-open
  • ct-orchestrator

Tested with

Claude Code, Cursor

Notes

A Python plugin that adds agent skills for C/C++ verification workflows using DVERA. It covers project setup, static analysis, test generation, coverage measurement, reporting, and regression testing. The plugin is hosted on GitHub under SuresoftTechnologies.

0 stars on GitHub. Last updated 2026-09-22. Licensed MIT.

Use cases

  • Set up C/C++ verification projects
  • Generate tests and measure coverage
  • Run regression and reporting workflows

Pros

  • Covers the full verification lifecycle
  • Python-based for easy integration and scripting
  • Open source on GitHub

Cons

  • No stars or community adoption yet
  • Requires DVERA tooling to be useful
  • Early stage with limited documentation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Covers the full verification lifecycle
  • Python-based for easy integration and scripting
  • Open source on GitHub

Cons

  • No stars or community adoption yet
  • Requires DVERA tooling to be useful
  • Early stage with limited documentation

Pairs with

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