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 chopratejas · MCP Server · ★ 44.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is headroom safe to install? View the security audit →
60–95% fewer tokens · library · proxy · MCP · 6 algorithms · local-first · reversible <img src="https://img.shields.io/badge/tokens%20saved-60B%2B-2ea44f"
| Stars | 44,356 |
| Forks | 3,089 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 63.1150347881095/100 |
| Open Issues | 374 |
| Last Updated | 2026-06-21 |
| Created | 2026-01-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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headroom is Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.. It is categorized as a MCP Server with 44.4k GitHub stars.
headroom is primarily written in Python. It covers topics such as agent, ai, anthropic.
You can find installation instructions and usage details in the headroom GitHub repository at github.com/chopratejas/headroom. The project has 44.4k stars and 3089 forks, indicating an active community.
headroom is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to headroom on Agent Skills Hub include headroom, langchain, ragflow. 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: