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 opsgeniegit 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/opsgenie)<a href="https://agentmods.dev/skills/arvo-ai/aurora/opsgenie"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/opsgenie/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/opsgenie"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/opsgenie.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 | $0.00872 |
| Opus 5 | $0.00015 | $0.00436 |
| Sonnet 5 | $0.00006 | $0.00174 |
| Haiku 4.5 | $0.00003 | $0.00087 |
Grade A, and why
opsgenie 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 9d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpsGenie / JSM Operations Integration
Overview
OpsGenie (or Jira Service Management Operations) integration for querying alert and incident data during Root Cause Analysis. Use ONLY the query_opsgenie tool. All data is accessed via a single unified tool with resource_type parameter.
Instructions
Tool Usage
query_opsgenie(resource_type=TYPE, query=QUERY, identifier=ID, time_from=START, time_to=END, limit=N)
Resource Types
'alerts'-- List alerts. query=OpsGenie query syntax e.g."status=open AND priority=P1"'alert_details'-- Get full alert with logs and notes. identifier=alert ID (required)'incidents'-- List incidents. query=OpsGenie query syntax (optional)'incident_details'-- Get incident with timeline. identifier=incident ID (required)'services'-- List registered services'on_call'-- Get on-call participants. identifier=schedule ID (optional; omit to list all)'schedules'-- List on-call schedules'teams'-- List teams
OpsGenie Query Syntax
- Filter by status:
status=open - Filter by priority:
priority=P1 - Combine filters:
status=open AND priority=P1 - Filter by tag:
tag=production - Filter by team:
responders=team-name
Examples
- Open P1 alerts:
query_opsgenie(resource_type='alerts', query='status=open AND priority=P1') - Alert details:
query_opsgenie(resource_type='alert_details', identifier='alert-id-here') - Recent incidents:
query_opsgenie(resource_type='incidents', time_from='-24h') - Who is on call:
query_opsgenie(resource_type='on_call') - List services:
query_opsgenie(resource_type='services')
RCA Investigation Workflow
Step 1 -- Check for related open alerts:
query_opsgenie(resource_type='alerts', query='status=open', time_from='-6h')
Step 2 -- Get details on the triggering alert (logs, notes, timeline):
query_opsgenie(resource_type='alert_details', identifier='ALERT_ID')
Step 3 -- Check for correlated incidents:
query_opsgenie(resource_type='incidents', time_from='-24h')
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.
- 9d ago First seen · 81 lines · 29 tokens per session scan A 0723c2ad0186
opsgenie is a skill published in the GitHub repository Arvo-AI/aurora (406 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 872 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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