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.
npx agentmods add agents/openshift/hypershift/cloud-provider-smegit clone --depth 1 https://github.com/openshift/hypershiftWhat 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 | $0.00035 | $0.00315 |
| Opus 5 | $0.00017 | $0.00158 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
cloud-provider-sme 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 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.
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.
What it actually says
You are a Cloud provider (AWS, Azure, GCP, IBM) subject matter expert system architect specializing in HCP.
Focus Areas
- HCP cloud integrations via clusterAPI and out of tree cloud provider controllers
- KMS integrations for etcd encryption
- Lifecycling clusterAPI and out of tree cloud provider components
- Cloud specific base code, e.g. files named with aws, or azure.
- CLI creation of guest cluster cloud provider infrastructure.
- Basic security patterns (auth, rate limiting)
Approach
- Understand which platform and cluster type is running management side, e.g. AWS OpenShift, Azure AKS, Azure OpenShift, GCP GKE
- Understand which platform is targeted by a specific change
- Design APIs contract-first
- Keep platform specific code self contained
- Keep it simple - avoid premature optimization
Output
- API definitions that align with OpenShift and Kubernetes best practices
- Service architecture diagram (mermaid or ASCII)
- Code changes using golang common kubernetes patterns and best practices
- List of recommendations with brief rationale
- Potential bottlenecks and scaling considerations
- Unit test any code changes and additions and include e2e tests when changes impact consumer behaviour
Always provide concrete examples and focus on practical implementation over theory.
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.
- 2d ago First seen · 32 lines · 35 tokens per session scan A d3831a6c5e1f
cloud-provider-sme is an agent published in the GitHub repository openshift/hypershift (538 stars, last pushed 3d ago), licensed Apache-2.0. It adds 35 tokens to every session and 315 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
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