Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan.
Install Castai Cost Tuning
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .claude/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .claude/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .agents/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .agents/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .cursor/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .cursor/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/castai-cost-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .gemini/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .gemini/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .github/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .github/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace castai-cost-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/castai-cost-tuning .opencode/skills/castai-cost-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "castai-cost-tuning" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/castai-cost-tuning into .opencode/skills/castai-cost-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "castai-cost-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
castai-cost-tuning- GitHub stars
- 2.8k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 454 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan.
- Works in 6 steps: Normalize the question → Validate the reporting basis → Reconcile cost layers → …
- Investigating spend
- SKILL.md covers Overview, Prerequisites, Instructions and Tool Discipline, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Castai Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Use when investigating spend, validating savings claims, applying private-price adjustments, or prioritizing workloads and clusters. Trigger with: "tune CAST AI costs", "verify CAST AI savings", "reduce Kubernetes spend with CAST AI".
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires CAST AI Cost Monitoring data and access to the organization pricing and workload context needed to interpret it
It sits in DevOps & Cloud, covering Container orchestration. It works with Kubernetes. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Investigating spend
- Validating savings claims
- Applying private-price adjustments
- Prioritizing workloads and clusters
Example prompts
- “tune CAST AI costs”
- “verify CAST AI savings”
- “reduce Kubernetes spend with CAST AI”
- “/castai-cost-tuning”
Requirements
- Compatibility (from SKILL.md): Requires CAST AI Cost Monitoring data and access to the organization pricing and workload context needed to interpret it
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.cast.ai
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires CAST AI Cost Monitoring data and access to the organization pricing and workload context needed to interpret it
From compatibility in the SKILL.md frontmatter.
Context cost
Castai Cost Tuning loads about 1.2k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 90 tokens; SKILL.md has 454 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 454 words, ~1,162 tokens.
Download SKILL.mdSave it as
.claude/skills/castai-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- castai-cost-tuning
- description
- Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Use when investigating spend, validating savings claims, applying private-price adjustments, or prioritizing workloads and clusters. Trigger with: "tune CAST AI costs", "verify CAST AI savings", "reduce Kubernetes spend with CAST AI".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires CAST AI Cost Monitoring data and access to the organization pricing and workload context needed to interpret it
- version
- 2.0.0
- argument-hint
- [cluster-or-organization-report]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, kubernetes, cast-ai, finops, cost-optimization
CAST AI Cost Evidence Review
Overview
Turn reporting into a prioritized plan without treating modeled savings as invoices. Separate actual spend, available opportunity, realized savings, workload rightsizing, adoption, pricing, and baseline assumptions.
Prerequisites
- The organization and cluster reports for a declared time range
- Cloud billing or internal allocation evidence for reconciliation
- Current automation adoption, workload SLOs, and pricing-adjustment ownership
Instructions
Step 1: Normalize the question
Use Read to identify whether the request concerns actual spend, a forecast, available savings, realized savings, or workload autoscaler savings. Record cluster scope, currency, time range, and comparison period.
Step 2: Validate the reporting basis
Use Grep across exported reports and runbooks to find baseline source, public versus adjusted prices, data gaps, and adoption thresholds. Cost comparison needs sufficient history; new clusters and low automation adoption can legitimately show incomplete or zero savings.
Step 3: Reconcile cost layers
Compare provisioned resources, requested resources, utilization, lifecycle mix, price per resource, actual cost, and modeled baseline. When private discounts or commitments matter, require reviewed Price adjustments instead of assuming public list prices match the bill.
Step 4: Rank opportunities by constraint
Group opportunities into workload rightsizing, node bin-packing, spot or fallback strategy, architecture choice, idle capacity, and allocation hygiene. For each, include savings confidence, SLO risk, prerequisite, owner, and evidence window.
Step 5: Design a measured experiment
Use Write or Edit to create a canary hypothesis with a single policy change, expected capacity effect, performance guardrail, measurement window, and rollback. Do not combine node, vertical, horizontal, and pricing changes in one experiment.
Show full SKILL.md (199 more words)Show less
Step 6: Produce the decision record
State what CAST AI reports, what billing evidence confirms, what remains modeled, and which action is authorized. Preserve before-and-after snapshots without exporting sensitive workload names beyond their approved audience.
Tool Discipline
Use Read for reports, billing extracts, and policy context. Use Grep to reconcile repeated cluster, workload, baseline, and pricing facts. Use Write and Edit only for the analysis, experiment, and decision record; this skill does not enable automation.
Output
- Scope and reporting-basis statement
- Reconciled spend and savings table
- Ranked opportunities with confidence and risk
- One controlled experiment and rollback threshold
Examples
A report shows high available savings but no realized savings because the cluster remains read-only. Another cluster shows modeled workload savings, but private prices are absent, so the team configures reviewed adjustments before using the number for a commitment.
Error Handling
| Failure | Response |
|---|---|
| Baseline source is unknown | Label savings unverified and obtain the report basis |
| CAST AI and invoice periods differ | Normalize the window before comparison |
| Private pricing is missing | Use Price adjustments or disclose list-price limitation |
| Optimization conflicts with an SLO | Reject the action regardless of modeled savings |
Resources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/castai-cost-tuning of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Castai Cost Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Castai Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere Multi-Tenant Managementkubesphere/kubesphere | 17k | — | ~3.1k | Automated safety check: Pass | Custom licence | |
| Sim Helmsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Helm Chart ScaffoldingCybereason-Public/owLSM | 280 | 13 repos | ~381 | Automated safety check: Pass | GPL-2.0 | |
| Mirrord Operatormetalbear-co/mirrord | 5.4k | 1 repos | ~4.6k | Automated safety check: Pass | MIT |
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Questions about Castai Cost Tuning
What does Castai Cost Tuning do?
Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan. Castai Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Analyze CAST AI cost, available-savings, and realized-savings reports into a defensible optimization plan.
When should I use Castai Cost Tuning?
Castai Cost Tuning fits situations like: investigating spend; validating savings claims; applying private-price adjustments; prioritizing workloads and clusters.
How do I install Castai Cost Tuning in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/castai-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/castai-cost-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Castai Cost Tuning in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/castai-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/castai-cost-tuning in your project. Codex loads it when a task matches its description.
Can I use Castai Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill castai-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/castai-cost-tuning, .gemini/skills/castai-cost-tuning, .github/skills/castai-cost-tuning and .opencode/skills/castai-cost-tuning in your project.
What does Castai Cost Tuning need to run?
SKILL.md names no scripts, command-line tools or credentials: Castai Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires CAST AI Cost Monitoring data and access to the organization pricing and workload context needed to interpret it.
Does Castai Cost Tuning access the network?
SKILL.md names 1 domain. As links in the text: docs.cast.ai. This is read from the text; nothing was executed.
Is Castai Cost Tuning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Castai Cost Tuning use?
Castai Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Castai Cost Tuning use?
About 1.2k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 242 tokens, read only when the agent opens those files.
What are the alternatives to Castai Cost Tuning?
Skills that share tags, products or a category with Castai Cost Tuning: Kubeshark Installer (kubeshark/kubeshark, 12k stars), KubeSphere Multi-Tenant Management (kubesphere/kubesphere, 17k stars), Sim Helm (simstudioai/sim, 30k stars) and Helm Chart Scaffolding (Cybereason-Public/owLSM, 280 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Castai Cost Tuning?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.