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 morluto · MCP Server · ★ 114
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flameox safe to install? View the security audit →
flameox Bounded local runtime evidence for coding agents. Flameox coordinates profilers, benchmark tools, trace processors, and direct local targets. It gives an agent a short path from an explicit native artifact or live command to bounded evidence, while keeping preservation optional. Version 0.2 is a clean break. There is no workspace to initialize, no , no SQLite control plane, no durable job to poll, and no parent directory discovery. Existing artifacts remain usable by passing their exact paths and formats to ; old state is not migrated. Quick start The MCP server has no workspace or project binding: Run the short global setup wizard through npm: Setup detects Claude Code, Cursor, OpenCode, Codex, Gemini CLI, and Google Antigravity, then asks which clients should use Flameox. It preserves unrelated client configuration and writes a Python 3.12 launcher pinned to the exact Flameox release that ran setup. Restart or reconnect changed clients afterward. For automation, pass --client
| Stars | 114 |
| Forks | 3 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.6657610058497/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-07-25 |
| Platforms | mcp, python |
| Est. Tokens | ~15k |
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flameox is Runtime evidence that helps agents trace, profile, and burn down hotspots in application and native code, GPU kernels, and inference stacks.. It is categorized as a MCP Server with 114 GitHub stars.
flameox is primarily written in Python. It covers topics such as benchmarking, coding-agents, cordis.
You can find installation instructions and usage details in the flameox GitHub repository at github.com/morluto/flameox. The project has 114 stars and 3 forks, indicating an active community.
flameox is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to flameox on Agent Skills Hub include roam-code, memtrace-public, deep-code-reasoning-mcp. 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: