codex-autoresearch: A codex plugin for running optimization loops inside a codebase

by TheGreenCedar · Codex Skill · ★ 832

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Featured in: OpenAI Codex Skills

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.

agent-skillsautonomous-agentsautoresearchcode-optimizationcodexllm-agents

Quick Facts

Stars832
Forks59
LanguageTypeScript
CategoryCodex Skill
LicenseApache-2.0
Quality Score72/100
Open Issues2
Last Updated2026-10-02
Created2026-04-20
Platformscodex, node
Est. Tokens~15k

About codex-autoresearch

Codex Autoresearch Measured improvement loops for Codex Try it - Install - How it works - Dashboard - Docs - Changelog Codex Autoresearch helps Codex turn "make this better" into a measured loop. Give Codex a goal, a benchmark contract, and a safe edit scope.

Compatible Skills

These tools work well together with codex-autoresearch for enhanced workflows:

  • lighthouse-mcp — semantic(0.19)+complementary+similar_pop+shared_platform (47%)
  • agentops — semantic(0.19)+complementary+similar_pop+shared_platform (47%)

codex-autoresearch alternative? Top 6 similar tools

Looking for a codex-autoresearch alternative? If you're comparing codex-autoresearch 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.

  • evo by evo-hq · ⭐ 1.5k

    turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then run

  • CORAL by Human-Agent-Society · ⭐ 961

    Open-source autoresearch powered by autonomous coding agents. Run Claude Code, OpenCode, and Codex with gradin

  • NanoResearch by OpenRaiser · ⭐ 1.3k

    🦞+🔬 NanoResearch: The Autonomous AI Research Assistant

  • awesome-autoresearch by WecoAI · ⭐ 1.1k

    Curated list of AutoResearch use cases with optimization traces and open source implementations

  • AutoResearch-SibylSystem by Sibyl-Research-Team · ⭐ 288

    Fully Autonomous AI Research System with Self-Evolution, built natively on Claude Code

  • grace-marketplace by osovv · ⭐ 246

    GRACE (Graph-RAG Anchored Code Engineering): open Agent Skills for contract-driven AI code generation with sem

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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