agent-console: Local-first observability for AI coding agents

by LockedinLabs-AI · Codex Skill · ★ 805

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

How to install agent-console

git clone https://github.com/LockedinLabs-AI/agent-console.git
npm install --global --ignore-scripts https://github.com/LockedinLabs-AI/agent-console/releases/download/v0.4.1/lockedinlabs-agent-console-0.4.1.tgz

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

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. 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.

ai-agentsanthropicclaude-codecodexdeveloper-toolsfinopsllm-observabilitylocal-firstobservabilityopenai

Quick Facts

Stars805
Forks146
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues6
Last Updated2026-10-04
Created2026-09-20
Platformsclaude-code, codex, node
Est. Tokens~24k

About agent-console

Agent Console Local and team observability for Claude Code and Codex. Every session's tokens, cache reads and writes, models and list-price cost, on this computer and on every computer you connect, in one local console. Ca

Compatible Skills

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

  • Codexless — semantic(0.28)+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