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 thousandeyesgit 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/thousandeyes)<a href="https://agentmods.dev/skills/arvo-ai/aurora/thousandeyes"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/thousandeyes/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/thousandeyes"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/thousandeyes.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 | $0.00031 | $0.01559 |
| Opus 5.5 | $0.00012 | $0.00624 |
| Sonnet 5.5 | $0.00006 | $0.00312 |
| Haiku 4.5 | $0.00003 | $0.00156 |
Grade A, and why
thousandeyes 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 2mo 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ThousandEyes Integration
Overview
ThousandEyes network intelligence integration for investigating network-layer issues during Root Cause Analysis. ThousandEyes monitors network paths, DNS, BGP routing, HTTP availability, page load performance, and detects macro-scale Internet outages affecting connectivity.
Instructions
Test Discovery and Results
thousandeyes_list_tests(test_type=TYPE)-- List all configured tests. Optionally filter by type:agent-to-server,agent-to-agent,bgp,dns-server,dns-trace,dnssec,http-server,page-load,web-transactions,api,sip-server,voice. Call this first to discover available tests.thousandeyes_get_test_detail(test_id='ID')-- Full configuration for a single test including server, interval, protocol, alert rules, and assigned agents.thousandeyes_get_test_results(test_id='ID', result_type=TYPE, window='1h')-- Get results for a specific test. Result types:'network'-- latency, loss, jitter'http'-- response time, availability'path-vis'-- hop-by-hop trace'dns'-- DNS resolution'bgp'-- BGP routes'page-load'-- full waterfall'web-transactions'-- scripted browser'ftp'-- FTP results'api'-- API test'sip'-- SIP/VoIP'voice'-- MOS, jitter'dns-trace'-- trace chain'dnssec'-- DNSSEC validation
Alerts and Alert Rules
thousandeyes_get_alerts(state='active', severity='major', window='1h')-- Get active or recent alerts. Filter by state (active/cleared) and severity (major/minor/info). Shows alert rules, affected agents, and violation counts.thousandeyes_get_alert_rules()-- List all alert rule definitions. Shows rule expressions, thresholds, severity, and which tests each rule applies to.
Monitoring Agents
thousandeyes_get_agents(agent_type='enterprise')-- List cloud and enterprise monitoring agents. Filter by type (cloud/enterprise). Shows agent location, state, and IP addresses.thousandeyes_get_endpoint_agents()-- List endpoint agents installed on employee devices. Shows device name, OS, platform, location, public IP, and VPN status.
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.
- 2mo ago First seen · 109 lines · 31 tokens per session scan A f773dff18f70
thousandeyes is a skill published in the GitHub repository Arvo-AI/aurora (454 stars, last pushed yesterday), licensed Apache-2.0. It adds 31 tokens to every session and 1,559 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.
thousandeyes compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| thousandeyesArvo-AI/aurora | Skill | 454 | yesterday | Apache-2.0 | A | 31 | Claude Code |
| tax-lawyer-software-interfaceselasticdotventures/_b00t_ | Skill | 15 | 12d ago | none | A | 54 | Claude Code |
| b00telasticdotventures/_b00t_ | Skill | 15 | 12d ago | none | A | 0 | Claude Code |
| ak-add-integrationyaalalabs/agent-kernel | Skill | 192 | yesterday | Apache-2.0 | A | 59 | Claude Code, Codex |
| isaac-automatorisaac-sim/IsaacAutomator | Skill | 270 | 11d ago | Apache-2.0 | A | 123 | Claude Code, Codex |
| analytics-opensearch-expertiseaws/tools-for-devops-agent | Skill | 137 | yesterday | Apache-2.0 | A | 136 | Claude Code, Codex |
| database-rds-devopsaws/tools-for-devops-agent | Skill | 137 | yesterday | Apache-2.0 | A | 75 | Claude Code, Codex |