better-agent: Local web workspace for coding agents — Claude, Codex, Gemini, and more in one inspectable, LAN-ready hub

by ofekron · Codex Skill · ★ 54

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

How to install better-agent

brew install better-agent
git clone https://github.com/ofekron/better-agent

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

agent-orchestrationai-agentsai-coding-assistantclaude-codecodexcoding-agentsdeveloper-toolsfastapigemini-clillm

Quick Facts

Stars54
Forks6
LanguagePython
CategoryCodex Skill
Quality Score69/100
Open Issues1
Last Updated2026-08-10
Created2026-06-24
Platformsbrowser, claude-code, cli, codex, gemini, python
Est. Tokens~15k

About better-agent

Better Agent Run every coding agent. Keep every session. Claude, Codex, and Antigravity in one local workspace—persistent, inspectable, and available from every trusted screen. Install · Why Better Agent · How it works · Install guide · Extensions [!NOTE] Better Ag

Compatible Skills

These tools work well together with better-agent for enhanced workflows:

  • agent-designer — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (61%)
  • mcp-gemini-assistant — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (60%)

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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