JFrog Runtime

A set of instructions for working with JFrog Runtime, a JFrog service that monitors Kubernetes clusters, nodes, containers, and image risks.

In plain words
What is it for?
Use it to monitor runtime clusters, inspect node health, list running images, and review their vulnerability information.
Why use it?
It gives the agent a defined way to check cluster health and identify vulnerabilities in running container images.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/jfrog/ai-agent-examples/jfrog-runtime
Any agent
npx skills add jfrog/ai-agent-examples --skill jfrog-runtime
Clone the repo
git clone --depth 1 https://github.com/jfrog/ai-agent-examples

Made for: Claude Code, Codex.

Per session 56 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00056 $0.01086
Opus 5 $0.00028 $0.00543
Sonnet 5 $0.00011 $0.00217
Haiku 4.5 $0.00006 $0.00109

Measured 2d ago against content hash d3ed067fa9f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

JFrog Runtime scanned grade A 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

> **API transport:** Prefer **`jf api`** (JFrog CLI 2.100.0+). See [jf-api-patterns.md](../jfrog-cli/jf-api-patterns.md) (path-only URLs; auth from `jf config`). Examples using **`curl`** with `$JFROG_URL` + bearer token
platform-features/skills/jfrog-runtime/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

API transport: Prefer jf api (JFrog CLI 2.100.0+). See jf-api-patterns.md (path-only URLs; auth from jf config). Examples using curl with $JFROG_URL + bearer token are fallback when the CLI is missing or below 2.100.0.

JFrog Runtime Skill

Authentication

All requests require an access token via the Authorization header:

Authorization: Bearer $JFROG_ACCESS_TOKEN

Base URL: https://$JFROG_URL/runtime/api/v1/...

When authentication is needed, follow the login-flow.md procedure to resolve the active JFrog environment. The jf CLI is required and will be installed automatically if missing. The agent checks saved credentials via jf config show and asks which environment to use if multiple are saved. If none exist, the agent drives the web login flow and saves credentials via jf config add.

Core Concepts

Concept Description
Runtime Cluster A Kubernetes cluster registered with JFrog Runtime for monitoring
Runtime Sensor Lightweight agent deployed in K8s clusters that monitors container behavior
Runtime Controller Admission controller that validates images before deployment
Node Individual machine in a cluster, each with sensor status and health info

List Runtime Clusters

Returns all runtime clusters with node counts and controller status.

Note: This endpoint uses POST with a body, not GET.

curl -s -X POST "$JFROG_URL/runtime/api/v1/clusters" \
  -H "Authorization: Bearer $JFROG_ACCESS_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"limit": 50}' | jq .

Response contains total_count, pagination, and a clusters array. Each cluster has:

  • id, name, provider, regions
  • controller_status (running or stopped), controller_version
  • nodes_count, running_nodes_count, failed_nodes_count, disabled_nodes_count

Get Specific Cluster

Read the full file on GitHub · 108 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 108 lines · 56 tokens per session scan A d3ed067fa9f9

Subscribe to this mod's changes

JFrog Runtime is a skill published in the GitHub repository jfrog/ai-agent-examples (5 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 56 tokens to every session and 1,086 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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