No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Socialpranker · MCP Server · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentburn safe to install? View the security audit →
Claude Code · Codex CLI · Gemini CLI · opencode · OpenClaw · Hermes Agent — one normalized core, local, read-only, zero dependencies ▶ Try it in your browser — no install You didn't run out on your average day You ran out inside one window. On this machine that window was 5.4× the median one — same person, same week, same subscription. Your assistant's own logs already know which window it was and what filled it. Nothing else on your machine does: the built-in count
| Stars | 114 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 69.7995821090561/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-28 |
| Created | 2026-06-10 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~18k |
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agentburn is Which 5-hour window took you out — and where the money goes. Local profiler for Claude Code, OpenClaw & Hermes Agent: usage windows, burn by source (cron/chats/subagents), the overnight bill, why it b. It is categorized as a MCP Server with 114 GitHub stars.
agentburn is primarily written in Python. It covers topics such as ai-agents, claude-code, cli.
You can find installation instructions and usage details in the agentburn GitHub repository at github.com/Socialpranker/agentburn. The project has 114 stars and 4 forks, indicating an active community.
agentburn is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentburn on Agent Skills Hub include clawmetry, openclaw-dashboard, maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: