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.
npx skills add rhtevan/agentfs --skill goose-headroom-providergit clone --depth 1 https://github.com/rhtevan/agentfsWrote 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/skills/rhtevan/agentfs/goose-headroom-provider)<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.
<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>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.
| Model | Per session | Once 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 |
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 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 (
gooseCLI or Goose Desktop) - Headroom proxy running on port 8787 (use
headroom-litellm-proxyskill to set up; verify withheadroom-proxy-statusskill) - 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
}
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.
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 59a139a8a198
- 10d ago First seen · 382 lines · 16 tokens per session scan C 061a3fa6b168
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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