ambient

A deployment guide for Ambient Code Platform, a software system, on OpenShift, Red Hat’s Kubernetes platform.

In plain words
What is it for?
Use it to deploy production, temporary pull-request test, or developer installations, configure secrets, deploy with Kustomize, and troubleshoot failures.
Why use it?
It explains how to install the platform in an OpenShift namespace and check whether its services started correctly.

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/ambient-code/platform/ambient
Any agent
npx skills add ambient-code/platform --skill ambient
Clone the repo
git clone --depth 1 https://github.com/ambient-code/platform

Made for: Claude Code, Codex.

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,463 The whole file, excluding the scripts and references it only reads on demand.
Security scan E 3 findings. 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 $0.00053 $0.03463
Opus 5 $0.00026 $0.01732
Sonnet 5 $0.00011 $0.00693
Haiku 4.5 $0.00005 $0.00346

Measured 2d ago against content hash 4c8a318b7bd8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade E, and why

ambient scanned grade E with 3 findings 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.

Downloads and executes remote codehighSupply chain

curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.

- `kustomize` installed (`curl -s https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh | bash`)

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf "$TMPDIR"

Makes network callslowCapability

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

- `kustomize` installed (`curl -s https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh | bash`)
skills/control-plane/ambient/SKILL.md · 381 lines

How it starts

The opening of the file, as written. The whole thing — 381 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ambient Installer Skill

You are an expert in deploying the Ambient Code Platform to OpenShift clusters. This skill covers everything needed to go from an empty namespace to a running Ambient installation using images from quay.io.

Developer registry override: If you need to use images from the OpenShift internal registry instead of quay.io (e.g. for local dev builds), see docs/internal/developer/local-development/openshift.md.


Platform Components

Deployment Image Purpose
backend-api quay.io/ambient_code/vteam_backend Go REST API, manages K8s CRDs
frontend quay.io/ambient_code/vteam_frontend NextJS web UI
agentic-operator quay.io/ambient_code/vteam_operator Kubernetes operator
ambient-api-server quay.io/ambient_code/vteam_api_server Stateless API server
ambient-api-server-db (postgres sidecar) API server database
public-api quay.io/ambient_code/vteam_public_api External API gateway
postgresql (upstream) Unleash feature flag DB
minio (upstream) S3 object storage
unleash (upstream) Feature flag service

Runner pods (vteam_claude_runner, vteam_state_sync) are spawned dynamically by the operator — they are not standing deployments.

Credential sidecar containers are injected into session pods when the corresponding credential type is configured:

< /dev/null | Sidecar Container | Image | Port | Provider | |-------------------|-------|------|----------| | credential-github | quay.io/ambient_code/vteam_credential_github | 8091 | GitHub PAT / App | | credential-jira | quay.io/ambient_code/vteam_credential_jira | 8092 | Jira / Atlassian | | credential-k8s | quay.io/ambient_code/vteam_credential_k8s | 8093 | Kubeconfig | | credential-google | quay.io/ambient_code/vteam_credential_google | 8094 | Google Workspace |


Prerequisites

  • oc CLI installed and logged in to the target cluster
  • kustomize installed (curl -s https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh | bash)
  • Target namespace already exists and is Active
  • Quay.io images are accessible from the cluster (public repos or image pull secret in place)

Read the full file on GitHub · 381 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 · 381 lines · 53 tokens per session scan E 4c8a318b7bd8

Subscribe to this mod's changes

ambient is a skill published in the GitHub repository ambient-code/platform (129 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 3,463 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it E with 3 findings (downloads and executes remote code, recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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