CodexQB: Codex plugin for evidence-backed repo comprehension, planning, QA audit, and gated implementation handoffs

by alicankiraz1 · Codex Skill · ★ 183

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

Security audit verdict: SAFE · quality 70/100

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.

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.

codexcodex-pluginplanningproject-comprehensionvalidationvibecoding

Quick Facts

Stars183
Forks16
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues3
Last Updated2026-07-24
Created2026-06-14
Platformscodex, python
Est. Tokens~15k

About CodexQB

CodexQB Repo-aware planning for Codex. CodexQB turns a project repository into a durable planning package: main plan, existing-project autopsy, phase sub-plans, QA audit, and a gated implementation handoff. CodexQB is a Codex plugin that installs the skill.

Compatible Skills

These tools work well together with CodexQB for enhanced workflows:

  • codex-usage-tracker — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • ai-plugin — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • agent-skills-hub — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (57%)
  • deep-project — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • advise-project-approach — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (56%)

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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:

View on GitHub → Browse Codex Skill tools