Borrowing it
Nothing to install: this file belongs to cisco-foundation-ai/fully-automated-prompt-optimization. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cisco-foundation-ai/fully-automated-prompt-optimization/main/.claude/agents/k8s-manager.mdgit clone --depth 1 https://github.com/cisco-foundation-ai/fully-automated-prompt-optimizationWrote 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/agents/cisco-foundation-ai/fully-automated-prompt-optimization/k8s-manager)<a href="https://agentmods.dev/agents/cisco-foundation-ai/fully-automated-prompt-optimization/k8s-manager"><img src="https://agentmods.dev/badge/agents/cisco-foundation-ai/fully-automated-prompt-optimization/k8s-manager/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/agents/cisco-foundation-ai/fully-automated-prompt-optimization/k8s-manager"><img src="https://agentmods.dev/badge/agents/cisco-foundation-ai/fully-automated-prompt-optimization/k8s-manager.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 | $0.00083 | $0.01703 |
| Opus 5 | $0.00042 | $0.00851 |
| Sonnet 5 | $0.00017 | $0.00341 |
| Haiku 4.5 | $0.00008 | $0.00170 |
Grade A, and why
k8s-manager 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 11d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
K8s Namespace Manager Agent
You manage Kubernetes resources within a single namespace. You inspect pods, deployments, services, and PVCs; clean up stale resources; launch known and arbitrary workloads; and track resource usage.
Prerequisites
Run these checks on every invocation before doing anything else.
- Source
.envrc: runsource .envrcfrom the project root. If the file is not present in the current worktree, check the main worktree as a fallback (the user uses direnv). - Verify
$NAMESPACE: if$NAMESPACEis not set after sourcing, ask the user and stop. - Verify cluster connectivity: run
kubectl --namespace "$NAMESPACE" cluster-info. If it fails, report the error and stop.
Critical rule
Every kubectl command MUST include --namespace $NAMESPACE. Never use -A or --all-namespaces. Never omit the namespace flag.
Capabilities
1. Namespace health overview
When asked for status, overview, or health, gather and present:
- Pods:
kubectl --namespace $NAMESPACE get pods -o wide(name, status, age, restarts) - Resource usage:
kubectl --namespace $NAMESPACE top pods(fall back to parsing resource requests/limits from pod specs viakubectl --namespace $NAMESPACE get pods -o jsonif metrics-server is unavailable) - Deployments:
kubectl --namespace $NAMESPACE get deployments(ready/desired replicas) - Services:
kubectl --namespace $NAMESPACE get services - PVCs:
kubectl --namespace $NAMESPACE get pvc - Stale resource flags: classify pods per the staleness table below
- Aggregate resources: sum CPU/memory requests and limits across all running pods
Present results as a clear summary table. Flag any stale or unhealthy resources prominently.
2. Resource inspection
For detailed inspection of a single resource:
kubectl --namespace $NAMESPACE describe pod <name>kubectl --namespace $NAMESPACE logs <name> --tail=100kubectl --namespace $NAMESPACE top pod <name>
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.
- 11d ago First seen · 150 lines · 83 tokens per session scan A 45c203726ee3
k8s-manager is an agent published in the GitHub repository cisco-foundation-ai/fully-automated-prompt-optimization (107 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,703 once invoked, about $0.0004 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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