ai-inference-service-mesh SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
ai-inference-service-mesh from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add francostino/opencode-skills-collection/ai-inference-service-mesh@v1.0Pins v1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- francostino/opencode-skills-collection
- Path
bundled-skills/ai-inference-service-mesh/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0, committed Sep 21, 2026
- Size
- 10,680 bytes
- Repository stars
- 87
- License
- MIT
Use service mesh patterns for AI inference traffic management, mTLS,.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 ```bash # Install Istio with production profile 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: …
Read the whole file at its exact version.
How to install
mdr add francostino/opencode-skills-collection/ai-inference-service-mesh@sha256:5a831ccc32ccff33The line at the top of this page pins the label v1.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_pgmnsyqqm2tzshd2)
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Versions
The registry has recorded 1 version of this file, committed on Sep 21, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10680 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pgmnsyqqm2tzshd2 GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/ai-inference-service-mesh GET https://markdownregistry.com/api/v1/blob/5a831ccc32ccff3397b7e4afe1ec5644b0cfc25faac95ce4add908eec61ca22d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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