agentic-qe: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents featuring

by proffesor-for-testing · Agent Tool · ★ 520

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install agentic-qe

npm install -g agentic-qe
git clone https://github.com/proffesor-for-testing/agentic-qe.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agenticqeagenticsfoundationagentsquality-engineering

Quick Facts

Stars520
Forks103
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Open Issues107
Last Updated2026-10-30
Created2025-09-11
Platformsclaude-code, node
Est. Tokens~19k

About agentic-qe

Agentic Quality Engineering Fleet Release Notes Discussions AI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns — across 11 coding agent platforms.

Compatible Skills

These tools work well together with agentic-qe for enhanced workflows:

  • qaskills — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • aiwg — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • shippie — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
  • Mysti — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (50%)
  • claude-code-workflows — semantic(0.16)+complementary+similar_pop+shared_platform (46%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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