Aurora
Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Arvo-AI/aurora
Maintenance
fresh
3d since push
Risk
Safe to try
Quality score needs review
GitHub quality
320
82/100 quality · 83/100 trust
Coverage tags
Review notes
Quality score needs review
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v4
Human review before install
Test in a sandbox workflow and compare its install path with close alternatives.
Stars
320 GitHub stars
Repo activity
320 stars, 57 forks
Maintenance
3d since push
License
Apache-2.0
Install
npx skills add Arvo-AI/aurora
Install safety
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Low metadata risk
- Quality score needs review
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- 3d since push
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
- Compare code changes
Suited agents
Trust and risk
- Trust score
- 83/100
- Risk level
- Safe to try
- Auto install
- review
Do not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No major risk signals from current metadata
- Quality score needs review
- Production credentials, payments, or irreversible account changes without explicit human review
Agent safety v2
71/100 · Review before install
Good audit and safety signals with no high-risk permission hints in public metadata.
Review the audit page, then allow agent install in a sandboxed workflow.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
- Quality score needs review
Install targets
Install this skill in your agent workflow
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Arvo-AI/auroraAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Resolve JSON
/api/agent/resolve?task=Use%20Aurora%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Aurora%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/arvo-ai-aurora/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use Aurora in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Aurora%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/arvo-ai-aurora/install
Install command: npx skills add Arvo-AI/aurora
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/arvo-ai-aurora/install
LLM text format
/api/skills/arvo-ai-aurora/install?format=text
Find alternatives
/api/skills/search?q=Aurora&limit=3
Agent prompt
Use Aurora for this task. Review https://www.openagentskill.com/api/skills/arvo-ai-aurora/install, then install with: npx skills add Arvo-AI/auroraRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/arvo-ai-aurora
LLM text
/api/registry/manifest/arvo-ai-aurora?format=text
Install alias
/api/registry/install/arvo-ai-aurora
Recommend
/api/registry/recommend?task=Use%20Aurora%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, Observability, Claude Code
Audit report
Safe to try · 87/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Companion skill for GitHub automation
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
GitHub automation
Trust label
Strong shortlist
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 82/100 quality profile
- 2 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
INFO320 GitHub stars
Stars/forks activity
INFO320 stars, 57 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSApache-2.0
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
Review before install
- Quality score needs review
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Kubernetes
Production-Grade Container Scheduling and Management
Traefik
The Cloud Native Application Proxy
Etcd
Distributed reliable key-value store for the most critical data of a distributed system
Terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
Overview
Aurora — Open source AI-powered agentic incident management & root cause analysis for SREs. LangGraph agents investigate across AWS, Azure, GCP, Kubernetes. Integrates with PagerDuty, Datadog, Grafana, Slack and More. Apache 2.0.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 6/21/2026
- Published
- 6/21/2026
Frameworks & Tools
Decision snapshot
Companion skill
recent repository activity
Audit snapshot
Install review
Install and adoption review
- Security
- 88/100
- Maintenance
- 100/100
- Install
- 92/100
Agent outcome signals
Real use feedback
Reported by agents after resolve, review, and install.
- Outcomes
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
No agent outcome data yet
Install
Add to agent workflow
Free and open source. Review the audit before production use.
Growth loop
Share kit
Scenario-led draft for Aurora, ready for a manual X post.
Most web agents fail in the boring part: messy pages, missing context, repeatable extraction. Aurora gives agents a cleaner path to browse, extract, and monitor web pages. 320 stars https://www.openagentskill.com/skills/arvo-ai-aurora?ref=x #AIAgents
Optional reply with install command
Listing + install path for Aurora: https://www.openagentskill.com/skills/arvo-ai-aurora?ref=x Install: npx skills add Arvo-AI/aurora
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Arvo-AI
- Source
- Arvo-AI/aurora
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This community indexed listing is attributed to Arvo-AI but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/arvo-ai-aurora)Author
Arvo-AI
@arvo-ai
Platform Fit
Health Signals
- GitHub stars
- 320
- Quality score
- 51/100
- Last GitHub push
- Jun 20, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 1
- Install copies
- 0
- Outbound clicks
- 0
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
Strong shortlist
- GitHub adoption320 GitHub starsINFO
- Stars/forks activity320 stars, 57 forks; issue activity unavailable in current metadataINFO
- Recent maintenance3d since pushPASS
- License clarityApache-2.0PASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskno major dependency risk hints in public metadataPASS
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