No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by supercorp-ai · Codex Skill · ★ 144
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is supercov safe to install? View the security audit →
Coverage, security and code quality for coding agents Supercov tells your coding agent what to fix and what to test. It scores your code quality and flags security risks with Jev, runs the test command you already use, and turns uncovered paths into small, actionable queries. Your agent picks a target, writes a focused test or a focused refactor, proves what improved, and keeps going. Paste this to your coding agent to start: Scoring needs a TypeSafe AI API key, and your coding agent will usually ask you for it. It costs about a cent per megabyte of source. Coverage needs no account, config file, import, custom reporter, or hosted service. Supercov is local, free, open source, and MIT licensed. Website · Documentation · npm · GitHub Supported languages: JavaScript · TypeScript · Rust · Python · Ruby · Go · Java · [Kotlin](https://supercov
| Stars | 144 |
| Forks | 5 |
| Language | Rust |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.9382746796746/100 |
| Last Updated | 2026-10-03 |
| Created | 2026-08-23 |
| Platforms | claude-code, cli, codex, gemini, rust |
| Est. Tokens | ~26k |
These tools work well together with supercov for enhanced workflows:
Looking for a supercov alternative? If you're comparing supercov with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Release channel for TheAuditor — see blog.theauditortool.com
Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.
Skills for AI coding agents — Laravel, PHP, React, TypeScript, testing, security, and code quality.
Stops AI coding agents from claiming work is done without evidence. Deterministic hooks decide, TypeSafe's Jev
What started as an opinionated Claude Code setup kit is now an autonomous AI engineering command center
Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified.
Explore other popular codex skill tools:
supercov is Coverage, security and code quality for coding agents. It is categorized as a Codex Skill with 144 GitHub stars.
supercov is primarily written in Rust. It covers topics such as agent-skills, claude-code, code-coverage.
You can find installation instructions and usage details in the supercov GitHub repository at github.com/supercorp-ai/supercov. The project has 144 stars and 5 forks, indicating an active community.
supercov is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to supercov on Agent Skills Hub include Auditor, jev-review, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: