goose-headroom-provider

goose-headroom-provider is a skill for Claude Code, Codex from rhtevan/agentfs. It costs 16 tokens per session (2,894 once invoked), scanned C, original, Apache-2.0.

A configuration guide for connecting Goose to a local Headroom proxy. Headroom reduces the context sent to the model, while LiteLLM routes requests to services such as Vertex AI Claude.

In plain words
What is it for?
Use it to create and configure a Goose provider that sends requests through Headroom and LiteLLM.
Why use it?
It removes the need to work out the custom provider settings and connection details for this local proxy chain.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create and configure a Goose provider that sends requests through Headroom and LiteLLM.

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Install with agentmods
npx agentmods add skills/rhtevan/agentfs/goose-headroom-provider
Install

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.

Any agent
npx skills add rhtevan/agentfs --skill goose-headroom-provider
Clone the repo
git clone --depth 1 https://github.com/rhtevan/agentfs

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for goose-headroom-provider

README.md
[![agentmods](https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-headroom-provider/github.svg)](https://agentmods.dev/skills/rhtevan/agentfs/goose-headroom-provider)
Your own site
<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-headroom-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-headroom-provider/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.

agentmods 80×15 button for goose-headroom-provider

Your own site · 80×15
<a href="https://agentmods.dev/skills/rhtevan/agentfs/goose-headroom-provider"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/goose-headroom-provider.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,894 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.02894
Opus 5 $0.00008 $0.01447
Sonnet 5 $0.00003 $0.00579
Haiku 4.5 $0.00002 $0.00289

Measured today against content hash 59a139a8a198, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade C, and why

goose-headroom-provider scanned grade C with 2 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

curl -s http://127.0.0.1:8787/health | python3 -m json.tool

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s http://127.0.0.1:8787/health | python3 -m json.tool
skills/goose-headroom-provider/SKILL.md · 382 lines

How it starts

The opening of the file, as written. The whole thing — 382 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Configure Goose Custom Provider for Headroom

Create and configure a Goose custom provider that points to the local Headroom context-optimization proxy. This skill covers only the Goose provider configuration — for Headroom installation and systemd setup, see the headroom-litellm-proxy skill.

Traffic Chain

Goose (custom_headroom) → Headroom Proxy (:8787) → LiteLLM (:4000) → Vertex AI (Claude)
                           ↑ context compression        ↑ model routing

Prerequisites

  • Goose installed (goose CLI or Goose Desktop)
  • Headroom proxy running on port 8787 (use headroom-litellm-proxy skill to set up; verify with headroom-proxy-status skill)
  • LiteLLM proxy running on port 4000 (upstream of Headroom)

Reference Configuration

Custom Provider JSON

File: ~/.config/goose/custom_providers/custom_headroom.json

{
  "name": "custom_headroom",
  "engine": "openai",
  "display_name": "Headroom",
  "description": "Headroom context-optimization proxy → LiteLLM (Vertex AI Claude models)",
  "api_key_env": "",
  "base_url": "http://host.containers.internal:8787",
  "models": [
    {
      "name": "claude-opus-4-6",
      "context_limit": 128000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    },
    {
      "name": "claude-sonnet-4-6",
      "context_limit": 128000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    },
    {
      "name": "claude-sonnet-4-5",
      "context_limit": 128000,
      "input_token_cost": null,
      "output_token_cost": null,
      "currency": null,
      "supports_cache_control": null,
      "reasoning": false
    }
  ],
  "headers": null,
  "timeout_seconds": 600,
  "supports_streaming": true,
  "requires_auth": false,
  "catalog_provider_id": null,
  "base_path": null,
  "env_vars": null,
  "dynamic_models": null,
  "skip_canonical_filtering": false,
  "model_doc_link": null,
  "setup_steps": [],
  "fast_model": null,
  "preserves_thinking": true
}

Read the full file on GitHub · 382 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. today Changed 59a139a8a198
  2. 10d ago First seen · 382 lines · 16 tokens per session scan C 061a3fa6b168

Subscribe to this mod's changes

goose-headroom-provider is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed today), licensed Apache-2.0. It adds 16 tokens to every session and 2,894 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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