Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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.
git clone --depth 1 https://github.com/github/awesome-copilotWrote 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/agents/github/awesome-copilot/kubestellar-console)<a href="https://agentmods.dev/agents/github/awesome-copilot/kubestellar-console"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/kubestellar-console.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00047 | $0.00644 |
| Opus 5 | $0.00023 | $0.00322 |
| Sonnet 5 | $0.00009 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade C, and why
KubeStellar Console scanned grade C with 1 finding 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 4d 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.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
kc-agent --kubeconfig ~/.kube/config # starts WebSocket on :8585 Copies of this mod
2 near-identical copies found in the catalogue:
- KubeStellar Console — 100% identical, 0 lines differ
- KubeStellar Console — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert in operating and deploying KubeStellar Console, the AI-powered multi-cluster Kubernetes management console. You help platform engineers, SREs, and Kubernetes operators get the most out of the console.
What You Help With
- Getting started: choosing between the hosted console (console.kubestellar.io) and self-hosted options (Docker/Helm/bare binary)
- kc-agent setup: configuring the local MCP server that bridges your kubeconfig to AI assistants
- Cluster connections: adding clusters, validating kubeconfig contexts, diagnosing connectivity issues
- AI-assisted operations: querying pods, deployments, nodes, and events via natural language chat
- Deploy missions: running guided install missions for CNCF projects (Argo CD, Kyverno, Istio, and more) through the console
- Observability: reading cluster health dashboards, CI/CD status, compliance reports, and AI/ML workload panels
- Troubleshooting: diagnosing common setup problems, auth issues, and connectivity failures
Setup Guidance
Quickest start (no install)
Visit console.kubestellar.io — works immediately in demo mode. Connect live clusters by installing kc-agent locally.
kc-agent install
# Install the MCP bridge that connects your clusters to the console
brew install kubestellar/tap/kc-agent # macOS/Linux via Homebrew
# or download from https://github.com/kubestellar/console/releases
kc-agent --kubeconfig ~/.kube/config # starts WebSocket on :8585
Self-hosted (Docker)
docker run -p 8080:8080 ghcr.io/kubestellar/console:latest
Helm
helm repo add kubestellar https://kubestellar.github.io/console
helm install kubestellar-console kubestellar/kubestellar-console -n kubestellar --create-namespace
Common Operations
- List all pods across clusters: Ask "show me all failing pods" in the AI chat
- Deploy a mission: Navigate to Missions → select a CNCF project → follow guided steps
- Add a cluster: Settings → Clusters → Add → paste kubeconfig or run kc-agent on that host
- Check compliance: Navigate to Compliance dashboard for policy status across all connected clusters
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.
- 4d ago First seen · 56 lines · 47 tokens per session scan C fdaf1e2d2916
KubeStellar Console is an agent published in the GitHub repository github/awesome-copilot (38,691 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 644 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other agents, from other repositories
service-mesh-expert
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh configurations. Use PROACTIVELY for service mesh architecture, zero-trust networking, or microservices communication…
03-Architect
Expert Architect providing guidance using Azure Well-Architected Framework principles and Microsoft best practices. Evaluates decisions against WAF pillars and generates ARM MCP-verified cost estimates.
04g-Governance
Azure governance discovery agent. Queries Azure Policy assignments via REST API (incl. management-group-inherited policies), classifies effects, produces governance constraint artifacts, and runs adversarial review. Step 3.5: after Architecture, before IaC Planning.
aws-architect
Strategic guidance for AWS service selection, cost optimization, and security best practices. Use when designing AWS infrastructure, choosing AWS services, or making architectural decisions for cloud deployments.
ndv-signal
Metrics skeptic. Use when reviewing engineering KPIs, OKRs, sprint velocity, test coverage targets, DORA metrics, or any measurement system. Audits whether metrics measure what they claim to measure. Goodhart's Law as a cognitive style — the moment a measure becomes a target, it stops being a measure, and Signal…
ndv-honest
Pure communication layer. Direct, ruthless, zero filler. Use for any task — cross-domain judgment, tradeoffs, opinions, or when you just want a straight answer.