gentle-agent-state: See which AI coding agent needs you — right in your tmux tab bar

by Gentleman-Programming · Codex Skill · ★ 55

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

How to install gentle-agent-state

git clone https://github.com/Gentleman-Programming/gentle-agent-state.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 74/100

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.

ai-agentsclaude-codeclicodexdeveloper-toolsdotfilesopencodetmux

Quick Facts

Stars55
Forks8
LanguageShell
CategoryCodex Skill
LicenseMIT
Quality Score74/100
Open Issues9
Last Updated2026-07-01
Created2026-06-19
Platformsclaude-code, cli, codex
Est. Tokens~5k

About gentle-agent-state

gentle-agent-state See when an AI agent needs you without hunting through panes. gentle-agent-state connects AI coding agents to your terminal multiplexer. Agents emit lifecycle events, this project normalizes them into , , and , then shows the state in tmux or Zellij. tmux: colored dots in the window/tab bar, rolled up from all panes.

Compatible Skills

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

  • dotfiles — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)

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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