linkerd-patterns
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments
Install / Use
npx skills add wshobson/agents --skill linkerd-patternsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
SecuritySupported Platforms
Our assessment of linkerd-patterns
linkerd-patterns scores 95/100 on our quality scale, 169th of 544 Security skills we index (top 32%).
Its SKILL.md is 6.9 KB long, well organised into 42 sections with 10 code examples: a thorough specification that gives an agent plenty to work with.
With 39,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 5 days ago, so linkerd-patterns is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
ReviewOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review judged it risky: Line 58 instructs the agent to run `curl ... | sh` to install the Linkerd CLI, which is the exact risky pattern called out for skill/rules files.
- noteInstalls by piping a downloaded script into a shellline 58
curl --proto '=https' --tlsv1.2 -sSfL https://run.linkerd.io/install | sh
AI review: risky
- Line 58 instructs the agent to run `curl ... | sh` to install the Linkerd CLI, which is the exact risky pattern called out for skill/rules files.
- The rest of the file is a legitimate Linkerd service-mesh guide, so the overall intent is not malicious.
- The pipe-to-shell install weakens safeguards by executing a remote installer without verification.
AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
linkerd-patterns compared with similar skills
All 4 of these similar skills score higher than linkerd-patterns; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| linkerd-patterns (this skill)by wshobson | 95 | 39.9k | 5d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 3d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 4d ago | SKILL.md |
Frequently asked questions
- How do I install linkerd-patterns?
- Run
npx skills add wshobson/agents --skill linkerd-patterns. The install tabs above show the steps for each supported agent. - Which AI agents does linkerd-patterns work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is linkerd-patterns safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands (1 minor note below). An AI review judged it risky: Line 58 instructs the agent to run
curl ... | shto install the Linkerd CLI, which is the exact risky pattern called out for skill/rules files. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand. - Is linkerd-patterns still maintained?
- The repository was last updated 5 days ago, so linkerd-patterns is actively maintained.
Skill content
View source on GitHubname: linkerd-patterns description: Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
Linkerd Patterns
Production patterns for Linkerd service mesh - the lightweight, security-first service mesh for Kubernetes.
When to Use This Skill
- Setting up a lightweight service mesh
- Implementing automatic mTLS
- Configuring traffic splits for canary deployments
- Setting up service profiles for per-route metrics
- Implementing retries and timeouts
- Multi-cluster service mesh
Core Concepts
1. Linkerd Architecture
┌─────────────────────────────────────────────┐
│ Control Plane │
│ ┌─────────┐ ┌──────────┐ ┌──────────────┐ │
│ │ destiny │ │ identity │ │ proxy-inject │ │
│ └─────────┘ └──────────┘ └──────────────┘ │
└─────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────┐
│ Data Plane │
│ ┌─────┐ ┌─────┐ ┌─────┐ │
│ │proxy│────│proxy│────│proxy│ │
│ └─────┘ └─────┘ └─────┘ │
│ │ │ │ │
│ ┌──┴──┐ ┌──┴──┐ ┌──┴──┐ │
│ │ app │ │ app │ │ app │ │
│ └─────┘ └─────┘ └─────┘ │
└─────────────────────────────────────────────┘
2. Key Resources
| Resource | Purpose | | ----------------------- | ------------------------------------ | | ServiceProfile | Per-route metrics, retries, timeouts | | TrafficSplit | Canary deployments, A/B testing | | Server | Define server-side policies | | ServerAuthorization | Access control policies |
Templates
Template 1: Mesh Installation
# Install CLI
curl --proto '=https' --tlsv1.2 -sSfL https://run.linkerd.io/install | sh
# Validate cluster
linkerd check --pre
# Install CRDs
linkerd install --crds | kubectl apply -f -
# Install control plane
linkerd install | kubectl apply -f -
# Verify installation
linkerd check
# Install viz extension (optional)
linkerd viz install | kubectl apply -f -
Template 2: Inject Namespace
# Automatic injection for namespace
apiVersion: v1
kind: Namespace
metadata:
name: my-app
annotations:
linkerd.io/inject: enabled
---
# Or inject specific deployment
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
annotations:
linkerd.io/inject: enabled
spec:
template:
metadata:
annotations:
linkerd.io/inject: enabled
Template 3: Service Profile with Retries
apiVersion: linkerd.io/v1alpha2
kind: ServiceProfile
metadata:
name: my-service.my-namespace.svc.cluster.local
namespace: my-namespace
spec:
routes:
- name: GET /api/users
condition:
method: GET
pathRegex: /api/users
responseClasses:
- condition:
status:
min: 500
max: 599
isFailure: true
isRetryable: true
- name: POST /api/users
condition:
method: POST
pathRegex: /api/users
# POST not retryable by default
isRetryable: false
- name: GET /api/users/{id}
condition:
method: GET
pathRegex: /api/users/[^/]+
timeout: 5s
isRetryable: true
retryBudget:
retryRatio: 0.2
minRetriesPerSecond: 10
ttl: 10s
Template 4: Traffic Split (Canary)
apiVersion: split.smi-spec.io/v1alpha1
kind: TrafficSplit
metadata:
name: my-service-canary
namespace: my-namespace
spec:
service: my-service
backends:
- service: my-service-stable
weight: 900m # 90%
- service: my-service-canary
weight: 100m # 10%
Template 5: Server Authorization Policy
# Define the server
apiVersion: policy.linkerd.io/v1beta1
kind: Server
metadata:
name: my-service-http
namespace: my-namespace
spec:
podSelector:
matchLabels:
app: my-service
port: http
proxyProtocol: HTTP/1
---
# Allow traffic from specific clients
apiVersion: policy.linkerd.io/v1beta1
kind: ServerAuthorization
metadata:
name: allow-frontend
namespace: my-namespace
spec:
server:
name: my-service-http
client:
meshTLS:
serviceAccounts:
- name: frontend
namespace: my-namespace
---
# Allow unauthenticated traffic (e.g., from ingress)
apiVersion: policy.linkerd.io/v1beta1
kind: ServerAuthorization
metadata:
name: allow-ingress
namespace: my-namespace
spec:
server:
name: my-service-http
client:
unauthenticated: true
networks:
- cidr: 10.0.0.0/8
Template 6: HTTPRoute for Advanced Routing
apiVersion: policy.linkerd.io/v1beta2
kind: HTTPRoute
metadata:
name: my-route
namespace: my-namespace
spec:
parentRefs:
- name: my-service
kind: Service
group: core
port: 8080
rules:
- matches:
- path:
type: PathPrefix
value: /api/v2
- headers:
- name: x-api-version
value: v2
backendRefs:
- name: my-service-v2
port: 8080
- matches:
- path:
type: PathPrefix
value: /api
backendRefs:
- name: my-service-v1
port: 8080
Template 7: Multi-cluster Setup
# On each cluster, install with cluster credentials
linkerd multicluster install | kubectl apply -f -
# Link clusters
linkerd multicluster link --cluster-name west \
--api-server-address https://west.example.com:6443 \
| kubectl apply -f -
# Export a service to other clusters
kubectl label svc/my-service mirror.linkerd.io/exported=true
# Verify cross-cluster connectivity
linkerd multicluster check
linkerd multicluster gateways
Monitoring Commands
# Live traffic view
linkerd viz top deploy/my-app
# Per-route metrics
linkerd viz routes deploy/my-app
# Check proxy status
linkerd viz stat deploy -n my-namespace
# View service dependencies
linkerd viz edges deploy -n my-namespace
# Dashboard
linkerd viz dashboard
Debugging
# Check injection status
linkerd check --proxy -n my-namespace
# View proxy logs
kubectl logs deploy/my-app -c linkerd-proxy
# Debug identity/TLS
linkerd identity -n my-namespace
# Tap traffic (live)
linkerd viz tap deploy/my-app --to deploy/my-backend
Best Practices
Do's
- Enable mTLS everywhere - It's automatic with Linkerd
- Use ServiceProfiles - Get per-route metrics and retries
- Set retry budgets - Prevent retry storms
- Monitor golden metrics - Success rate, latency, throughput
Don'ts
- Don't skip check - Always run
linkerd checkafter changes - Don't over-configure - Linkerd defaults are sensible
- Don't ignore ServiceProfiles - They unlock advanced features
- Don't forget timeouts - Set appropriate values per route
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
