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 skills add infraspecdev/tesseract --skill cost-reviewgit clone --depth 1 https://github.com/infraspecdev/tesseractWrote 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/infraspecdev/tesseract/cost-review)<a href="https://agentmods.dev/skills/infraspecdev/tesseract/cost-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/cost-review/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/infraspecdev/tesseract/cost-review"><img src="https://agentmods.dev/badge/skills/infraspecdev/tesseract/cost-review.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 | $0.00036 | $0.01122 |
| Opus 5.5 | $0.00014 | $0.00449 |
| Sonnet 5.5 | $0.00007 | $0.00224 |
| Haiku 4.5 | $0.00004 | $0.00112 |
Grade A, and why
kubernetes-cost-review 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kubernetes Cost Review
Overview
Cost analysis framework for Kubernetes workloads. Reviews resource requests and limits, scaling configuration, storage provisioning, and environment-specific sizing. Every workload should be right-sized for its actual needs, with scaling policies that prevent both waste and outages.
Only triggers when there is clear evidence of Kubernetes usage. When ambiguous, ask the user before proceeding.
When to Use
- When reviewing K8s manifests for resource requests/limits optimization
- When auditing HPA/VPA configuration for scaling efficiency
- When checking storage provisioning (PVCs, storage classes)
- When evaluating workload sizing across environments (dev/staging/prod)
- When reviewing EKS-specific cost factors (Fargate, Spot, Karpenter)
When NOT to Use
- For Terraform cost review — use
terraform-cost-reviewinstead - For application performance tuning — this is resource cost, not performance
- When no K8s evidence is detected and user hasn't mentioned K8s
- For cluster-level cost (node sizing, reserved instances) without manifest context
Cost Analysis Process
Step 1: Resource Inventory
Scan all K8s manifests and inventory every workload. Categorize by:
- Compute: Deployments, StatefulSets, DaemonSets, Jobs, CronJobs
- Storage: PersistentVolumeClaims, StorageClasses
- Scaling: HPA, VPA, KEDA ScaledObjects
- Networking: Services (LoadBalancer type costs money), Ingress
See sizing-reference.md for workload sizing guidelines.
Step 2: Configuration Analysis
For each workload, check:
- Requests vs Limits — Are requests set? Are limits set? Is the gap reasonable?
- Over-provisioning — Requests significantly higher than actual usage indicators
- Under-provisioning — Missing requests (scheduler can't bin-pack efficiently)
- Scaling — HPA/VPA configured for variable-load workloads?
- Replica count — Appropriate for the workload type and environment?
- Storage sizing — PVC sizes reasonable? Storage class appropriate?
- Resource quotas — Namespace quotas and limit ranges in place?
What ships with it
2 files 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 · 96 lines · 36 tokens per session scan A 8c110c0ed98b
kubernetes-cost-review is a skill published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,122 once invoked, about $0.0001 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 2026-09-03.
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