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 Arvo-AI/aurora --skill corootgit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/coroot)<a href="https://agentmods.dev/skills/arvo-ai/aurora/coroot"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/coroot/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/arvo-ai/aurora/coroot"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/coroot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.01607 |
| Opus 5.5 | $0.00014 | $0.00643 |
| Sonnet 5.5 | $0.00007 | $0.00321 |
| Haiku 4.5 | $0.00003 | $0.00161 |
Grade A, and why
coroot 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coroot Integration
Overview
Coroot is an eBPF-powered observability platform. Its node agent instruments at the KERNEL level, capturing data that applications cannot self-report and requires NO code changes or SDK integration.
What eBPF Gives You (data invisible to application logs)
- TCP connections: every connect/accept/close between services, including failed connects and retransmissions
- Network latency: actual round-trip time measured at the kernel, not application-reported
- DNS queries: every resolution with latency, NXDOMAIN errors, and server failures
- Disk I/O: per-process read/write latency and throughput at the block device level
- Container resources: CPU usage, memory RSS, OOM kills, throttling -- from cgroups
- L7 protocol parsing: HTTP, PostgreSQL, MySQL, Redis, MongoDB, Memcached request/response metrics extracted from TCP streams without application instrumentation
- Service map: automatically discovered from observed TCP connections -- not configured manually
Issues Coroot Sees BEFORE Application Logs
- A service failing to connect to a dependency (TCP connect failures)
- Network packet loss and retransmissions between pods/nodes
- DNS resolution failures causing timeouts
- Disk I/O saturation causing slow queries
- OOM kills that happen before the app can log anything
- Container CPU throttling invisible to the application
Instructions
Incident Investigation Flow
coroot_get_incidents(lookback_hours=24)-- List incidents with RCA summaries, root cause, and fixescoroot_get_overview_logs(severity='Error', limit=50)-- Search all logs cluster-wide for errors (includes Kubernetes Events: OOMKilled, Evicted, CrashLoopBackOff, FailedScheduling)coroot_get_incident_detail(incident_key='KEY')-- Full incident detail with propagation mapcoroot_get_app_detail(app_id='ID')-- Audit reports for affected app (35+ health checks)coroot_get_app_logs(app_id='ID', severity='Error')-- Error logs with trace correlationcoroot_get_traces(service_name='svc', status_error=True)-- Error traces across servicescoroot_get_traces(trace_id='ID')-- Full trace tree for a specific request
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 · 124 lines · 35 tokens per session scan A b36192a394e9
coroot is a skill published in the GitHub repository Arvo-AI/aurora (438 stars, last pushed today), licensed Apache-2.0. It adds 35 tokens to every session and 1,607 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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