ai-inference-service-mesh
Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
Skill by devops-skills
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: ml, containers-kubernetes, model-inference
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ai-inference-service-mesh
What's inside
- Skill name
ai-inference-service-mesh- Description
- Use verified service mesh patterns for AI inference traffic management, mTLS, canary releases, policy enforcement, and cross-cluster resilience.
- License
- MIT
- Compatibility
- Requires the relevant OS/platform tooling and privileged access where noted. Docs-only; helper scripts and templates not bundled.
- Metadata
- author: devops-skills · version: 1.0
- Instructions
- 409 lines in SKILL.md · view on GitHub
Before installing
- Instructions call the network
Files (1)
- SKILL.md
SKILL.md (first lines)
# AI Inference Service Mesh
Apply Istio/Linkerd mesh controls to secure and optimize east-west AI traffic across inference microservices.
## Why Mesh for AI
- Enforce mTLS between gateway, retriever, reranker, and model services
- Apply fine-grained traffic policies without app code changes
- Run progressive delivery for model-serving backends
- Observe latency hops for retrieval + generation chains
- Route inference requests by model version, tenant, or priority tier
- Protect expensive GPU-backed services from cascading failures
## Prerequisites
Confirm the exact cluster/context, mesh version, CRD schemas, owned namespace and authorized mutation scope. Examples are alternative fragments, not a manifest to apply wholesale: multiple DestinationRules for the same host must be consolidated under the installed version's merge rules. Preview and validate in a disposable environment; protect production routes and rollback evidence.
```bash
# Illustrative mutating install; default is not a validated production configuration
istioctl install --set profile=default \
--set meshConfig.accessLogFile=/dev/stdout \
--set meshConfig.defaultConfig.holdApplicationUntilProxyStarts=true
# Label inference namespace for sidecar injection
kubectl create namespace ai-inference
kubectl label namespace ai-inference istio-injection=enabled
# Verify installation
istioctl verify-install
istioctl analyze -n ai-inference
```
## Core Patterns
### mTLS Strict Mode Cluster-Wide
```yaml
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: default
namespace: istio-system
spec:
mtls:
mode: STRICT
---
# Workload-level override; portLevelMtls requires a workload selector.
apiVersion: security.istio.io/v1beta1
kind: PeerAuthentication
metadata:
name: ai-inference-mtls
namespace: ai-inference
spec:
selector:
matchLabels:
app: model-server
mtls:
mode: STRICT
portLevelMtls:
# gRPC inference port
8081:
mode: STRICT
# Prometheus metrics port - allow plaintext scraping
9090:
mode: PERMISSIVE
```
### AuthorizationPolicy Per Service Account
```yaml
apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
name: model-server-access
namespace: ai-inference
spec:
selector:
matchLabels:
app: model-server
action: ALLOW
rules:
- from:
- source:
principals:
- "cluster.local/ns/ai-inference/sa/api-gateway"
- "cluster.local/ns/ai-inference/sa/orchestrator"
to:
- operation:
methods: ["POST"]
paths: ["/v1/predict", "/v1/embeddings", "/v2/models/*/infer"]
---
apiVersion: security.istio.io/v1beta1
kind: AuthorizationPolicy
metadata:
name: deny-external-to-retriever
namespace: ai-inference
spec:
selector:
matchLabels:
app: vector-retriever
action: DENY
rules:
- from:
- source:
notNamespaces: ["ai-inference"]
```
### Egress Policy for Approved Model Endpoints
```yaml
apiVersion: networking.istio.io/v1alpha3
kind: ServiceEntry
metadata:
name: openai-api
namespace: ai-inference
spec:
hosts:
- api.openai.comFrom sickn33/agentic-awesome-skills, MIT.
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Signals
- Stars
- 48,428
- Forks
- 7,039
- Open issues
- 0
- Last commit (this folder)
- Oct 24, 2026 (6 days ago)
- Last release
- Oct 24, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.0
- License
- MIT
- Website
- aaskills.tech/
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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ai-inference-service-mesh skill. Agent Mart. https://agentmart.dev/skills/sickn33-ai-inference-service-mesh (last updated 2026-10-24)