Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/openshift-online/agent-control-planenpx agentmods add skills/openshift-online/agent-control-plane/deploy-clusterWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openshift-online/agent-control-plane/deploy-cluster)<a href="https://agentmods.dev/skills/openshift-online/agent-control-plane/deploy-cluster"><img src="https://agentmods.dev/badge/skills/openshift-online/agent-control-plane/deploy-cluster/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openshift-online/agent-control-plane/deploy-cluster"><img src="https://agentmods.dev/badge/skills/openshift-online/agent-control-plane/deploy-cluster.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.05773 |
| Opus 5.5 | $0.00021 | $0.02309 |
| Sonnet 5.5 | $0.00011 | $0.01155 |
| Haiku 4.5 | $0.00005 | $0.00577 |
Grade A, and why
ambient scanned grade A with 0 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 602 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 |
|---|---|---|
ambient-api-server |
quay.io/ambient_code/acp_api_server |
Stateless API server |
ambient-api-server-db |
(postgres sidecar) | API server database |
postgresql |
(upstream) | Unleash feature flag DB |
minio |
(upstream) | S3 object storage |
unleash |
(upstream) | Feature flag service |
Runner pods (acp_claude_runner, acp_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/acp_credential_github | 8091 | GitHub PAT / App |
| credential-jira | quay.io/ambient_code/acp_credential_jira | 8092 | Jira / Atlassian |
| credential-k8s | quay.io/ambient_code/acp_credential_k8s | 8093 | Kubeconfig |
| credential-google | quay.io/ambient_code/acp_credential_google | 8094 | Google Workspace |
Prerequisites
ocCLI installed and logged in to the target clusterkustomizeinstalled (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)
Step 1: Apply RBAC (cluster-scoped, once per cluster)
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.
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.
- 1mo ago First seen · 602 lines · 53 tokens per session scan E 2f0e6b077219
ambient is a skill published in the GitHub repository openshift-online/agent-control-plane (12 stars, last pushed today), licensed MIT. It adds 53 tokens to every session and 5,773 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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