Headroom is a library, proxy, and MCP server that compresses tool outputs, logs, files, retrieval chunks, and conversation history before they reach a language model. It helps coding agents use fewer context tokens while keeping the original content available locally when needed. Its catalogue add-ons support using Headroom with agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/headroomlabs-ai/headroomWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/plugins/headroomlabs-ai/headroom/headroom-skill)<a href="https://agentmods.dev/plugins/headroomlabs-ai/headroom/headroom-skill"><img src="https://agentmods.dev/badge/plugins/headroomlabs-ai/headroom/headroom-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/plugins/headroomlabs-ai/headroom/headroom-skill"><img src="https://agentmods.dev/badge/plugins/headroomlabs-ai/headroom/headroom-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
headroom-skill scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
{
"name": "headroom-skill",
"version": "0.43.1",
"description": "Skill: add headroom-ai compress() to a Python or TypeScript app to cut LLM input tokens (tool outputs, logs, JSON, chat history). No API key.",
"author": {
"name": "Headroom Contributors",
"url": "https://github.com/headroomlabs-ai/headroom"
},
"homepage": "https://github.com/headroomlabs-ai/headroom",
"repository": "https://github.com/headroomlabs-ai/headroom",
"keywords": [
"headroom",
"skill",
"token-cost",
"tool-outputs",
"context-window",
"claude-code",
"codex",
"copilot-cli"
]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 76 tokens a session between them. Each is measured on its own page, and each can be installed alone.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- today Changed 7c14248e39e3
- yesterday First seen · 22 lines scan A 2c3fd4c9aa6e
headroom-skill is a plugin published in the GitHub repository headroomlabs-ai/headroom (78,940 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-05.
headroom-skill compared with plugins from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| headroom-skillheadroomlabs-ai/headroom | Plugin | 79k | yesterday | Apache-2.0 | A | — | Claude Code |
| llm-languageSilence-view/llm-language | Plugin | 2 | 4mo ago | MIT | A | — | Claude Code |
| aidd-telemetryai-driven-dev/framework | Plugin | 550 | today | MIT | A | — | Claude Code |
| local-ainaveedharri/benai-skills | Plugin | 78 | 28d ago | MIT | A | — | Claude Code |
| machine-learning-opsyeaight7/agent-powerups | Plugin | 8 | 1mo ago | Apache-2.0 | A | — | Claude Code |
| ensembleraiyanyahya/ensemble | Plugin | 13 | 5mo ago | MIT | A | — | Claude Code |
| humanizerblader/humanizer | Plugin | 65k | 9d ago | MIT | A | — | Claude Code |