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 headroom-proxy-statusgit 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/headroom-proxy-status)<a href="https://agentmods.dev/skills/rhtevan/agentfs/headroom-proxy-status"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/headroom-proxy-status/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/headroom-proxy-status"><img src="https://agentmods.dev/badge/skills/rhtevan/agentfs/headroom-proxy-status.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 | $0.00018 | $0.01184 |
| Opus 5.5 | $0.00007 | $0.00474 |
| Sonnet 5.5 | $0.00004 | $0.00237 |
| Haiku 4.5 | $0.00002 | $0.00118 |
Grade C, and why
headroom-proxy-status 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 1mo ago.
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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Headroom Proxy Status Check
Check the health, configuration, and runtime status of the local Headroom context-optimization proxy.
Steps
-
Check systemd service status
systemctl --user status headroom-proxyConfirm it shows
active (running). Note uptime, memory usage, and PID. -
Check health endpoint
curl -s http://127.0.0.1:8787/health | python3 -m json.toolVerify status is
healthyandreadyistrue. Note the backend, optimization mode, and whether memory/learning are enabled. -
Check compression stats
curl -s http://127.0.0.1:8787/stats | python3 -m json.toolReport the summary: total API requests, compression percentage, tokens saved, cost savings, and the primary model in use.
Key fields to extract from the stats response:
summary.compression.requests_compressed— how many requests had compression appliedsummary.compression.avg_compression_pct— average compression percentagesummary.compression.total_tokens_removed— total tokens saved by compressionsummary.cost.total_saved_usd— dollar savingssummary.cost.savings_pct— savings percentageconfig.target_ratio— the configured compression target (e.g. 0.5 = keep ~50%)config.min_tokens_to_crush— minimum token threshold before compression kicks inconfig.force_kompress— whether Kompress is forced on all contentsummary.uncompressed_requests— breakdown of why requests were NOT compressed (e.g.prefix_frozen,no_compressible_content)
-
Check stats history (optional, for trend data)
curl -s http://127.0.0.1:8787/stats-history | python3 -m json.toolShow durable compression history if available.
-
Show service configuration
cat ~/.config/systemd/user/headroom-proxy.serviceDisplay the systemd unit including upstream URL, flags, and startup command.
-
Show Goose custom provider configuration
cat ~/.config/goose/custom_providers/custom_headroom.jsonDisplay the Goose provider definition (base URL, models, settings).
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.
- 1mo ago First seen · 136 lines · 18 tokens per session scan C 0f442c40702e
headroom-proxy-status is a skill published in the GitHub repository rhtevan/agentfs (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 1,184 once invoked, about $0.0001 per session on Opus 5.5. 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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