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 newrelicgit 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/newrelic)<a href="https://agentmods.dev/skills/arvo-ai/aurora/newrelic"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/newrelic/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/newrelic"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/newrelic.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 | $0.00029 | $0.01094 |
| Opus 5 | $0.00015 | $0.00547 |
| Sonnet 5 | $0.00006 | $0.00219 |
| Haiku 4.5 | $0.00003 | $0.00109 |
Grade A, and why
newrelic 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 10d 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Relic Integration
Overview
New Relic integration for querying observability data during Root Cause Analysis. New Relic is a REMOTE service. Use ONLY the query_newrelic API tool. All data is accessed via NerdGraph with resource_type parameter.
Instructions
Tool Usage
query_newrelic(resource_type=TYPE, query=QUERY, time_range=RANGE, limit=N)
Resource Types
'nrql'-- Run NRQL queries. query=NRQL string e.g."SELECT count(*) FROM Transaction WHERE error IS true FACET appName"'issues'-- Active alert issues. query=state filter (ACTIVATED,CREATED,CLOSED)'entities'-- Search monitored entities (APM apps, hosts). query=entity name or filter
NRQL Tips
- Event types:
Transaction,TransactionError,SystemSample,Log,Span,ProcessSample - Use
FACETfor grouping results by field - Use
TIMESERIESfor trends over time - Use
SINCEfor time range (auto-injected fromtime_rangeif not present) - Use
LIMITto cap results (auto-injected if not present) - Only SELECT/FROM/WHERE/FACET queries are supported (no mutating operations)
Common NRQL Queries
- Error count:
SELECT count(*) FROM TransactionError WHERE appName='X' SINCE 1 hour ago TIMESERIES - CPU usage:
SELECT average(cpuPercent) FROM SystemSample FACET hostname SINCE 30 minutes ago - Error logs:
SELECT count(*) FROM Log WHERE level = 'ERROR' FACET service SINCE 1 hour ago - Slow transactions:
SELECT average(duration) FROM Transaction WHERE appName='X' FACET name SINCE 1 hour ago - Throughput:
SELECT rate(count(*), 1 minute) FROM Transaction FACET appName SINCE 1 hour ago TIMESERIES
Entity Search
- Search by name:
query_newrelic(resource_type='entities', query='production-api') - Filter by type:
query_newrelic(resource_type='entities', query='production-api|APPLICATION') - Supported entity types:
APPLICATION,HOST,MONITOR,WORKLOAD,DASHBOARD
Examples
- NRQL:
query_newrelic(resource_type='nrql', query="SELECT count(*) FROM Transaction WHERE appName = 'my-app' SINCE 1 hour ago") - Issues:
query_newrelic(resource_type='issues', query='ACTIVATED') - Entities:
query_newrelic(resource_type='entities', query='production-api')
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.
- 10d ago First seen · 84 lines · 29 tokens per session scan A 90443e913c71
newrelic is a skill published in the GitHub repository Arvo-AI/aurora (406 stars, last pushed yesterday), licensed Apache-2.0. It adds 29 tokens to every session and 1,094 once invoked, about $0.0001 per session on Opus 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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