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.
git clone --depth 1 https://github.com/kubestellar/kubestellar-mcpWrote 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/commands/kubestellar/kubestellar-mcp/delete)<a href="https://agentmods.dev/commands/kubestellar/kubestellar-mcp/delete"><img src="https://agentmods.dev/badge/commands/kubestellar/kubestellar-mcp/delete.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.00318 |
| Opus 5 | $0.00000 | $0.00159 |
| Sonnet 5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
delete 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 6d 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
Delete
Delete Kubernetes resources from clusters.
Usage
Delete a resource by kind and name from one or more clusters.
Examples
- "Delete deployment nginx from default namespace"
- "Remove the my-config configmap from all clusters"
- "Delete service my-app from production cluster"
- "Delete the old-job job from batch namespace"
What it does
- Targets specified clusters (or all available)
- Deletes the resource from each cluster
- Reports success/failure/not-found per cluster
MCP Tools Used
delete_resource- Delete a Kubernetes resource
Supported Resource Types
- Deployments, StatefulSets, DaemonSets
- Services, Ingresses
- ConfigMaps, Secrets
- Pods, Jobs, CronJobs
- PersistentVolumeClaims
- Namespaces
- ServiceAccounts
- Roles, RoleBindings, ClusterRoles, ClusterRoleBindings
Implementation
Use the delete_resource tool with:
kind: Resource kind (required) - e.g., Deployment, Service, ConfigMapname: Resource name (required)namespace: Namespace (default: default, ignored for cluster-scoped)dry_run: Preview without applyingclusters: Target clusters (all if not specified)
Examples of Tool Calls
{
"kind": "Deployment",
"name": "my-app",
"namespace": "production",
"dry_run": false,
"clusters": ["cluster-1", "cluster-2"]
}
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.
- 6d ago First seen · 57 lines · 0 tokens per session scan A dd99395005a8
delete is a command published in the GitHub repository kubestellar/kubestellar-mcp (2 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 318 tokens. 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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