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 patricio0312rev/skillset --skill capacity-planning-helpergit clone --depth 1 https://github.com/patricio0312rev/skillsetWrote 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/patricio0312rev/skillset/capacity-planning-helper)<a href="https://agentmods.dev/skills/patricio0312rev/skillset/capacity-planning-helper"><img src="https://agentmods.dev/badge/skills/patricio0312rev/skillset/capacity-planning-helper/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/patricio0312rev/skillset/capacity-planning-helper"><img src="https://agentmods.dev/badge/skills/patricio0312rev/skillset/capacity-planning-helper.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 | $0.00050 | $0.01563 |
| Opus 5 | $0.00025 | $0.00781 |
| Sonnet 5 | $0.00010 | $0.00313 |
| Haiku 4.5 | $0.00005 | $0.00156 |
Grade A, and why
capacity-planning-helper 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 9d 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.
This is a copy
100% identical to capacity-planning-helper — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Capacity Planning Helper
Right-size infrastructure for current and future needs.
Traffic Forecasting
interface TrafficForecast {
current: {
dailyUsers: number;
peakRPS: number;
avgRPS: number;
};
projected: {
timeframe: "6m" | "12m" | "24m";
dailyUsers: number;
peakRPS: number;
avgRPS: number;
growthRate: number;
};
}
const forecast: TrafficForecast = {
current: {
dailyUsers: 100000,
peakRPS: 500,
avgRPS: 200,
},
projected: {
timeframe: "12m",
dailyUsers: 500000, // 5x growth
peakRPS: 2500,
avgRPS: 1000,
growthRate: 4.0, // 400% growth
},
};
Resource Estimation
interface ResourceNeeds {
compute: {
instanceType: string;
instanceCount: number;
cpu: number;
memory: number;
};
database: {
instanceType: string;
instanceCount: number;
storage: number;
iops: number;
};
cache: {
instanceType: string;
nodes: number;
memory: number;
};
}
function estimateResources(forecast: TrafficForecast): ResourceNeeds {
const { peakRPS } = forecast.projected;
// Rule of thumb: 100 RPS per instance (with headroom)
const instanceCount = Math.ceil(peakRPS / 100);
// Database: 1000 connections per 2vCPU
const dbInstances = Math.ceil((peakRPS * 2) / 1000);
return {
compute: {
instanceType: "t3.large",
instanceCount: instanceCount * 1.5, // 50% headroom
cpu: 2 * instanceCount,
memory: 8 * instanceCount,
},
database: {
instanceType: "db.r6g.xlarge",
instanceCount: dbInstances,
storage: 1000, // GB
iops: 10000,
},
cache: {
instanceType: "cache.r6g.large",
nodes: 2, // Primary + replica
memory: 12, // GB
},
};
}
Cost Estimation
interface CostEstimate {
monthly: {
compute: number;
database: number;
cache: number;
storage: number;
bandwidth: number;
total: number;
};
annual: number;
}
const pricing = {
"t3.large": 0.0832, // $/hour
"db.r6g.xlarge": 0.336,
"cache.r6g.large": 0.226,
storage: 0.1, // $/GB/month
bandwidth: 0.09, // $/GB
};
function estimateCost(
resources: ResourceNeeds,
trafficGB: number
): CostEstimate {
const hoursPerMonth = 730;
const monthly = {
compute:
resources.compute.instanceCount * pricing["t3.large"] * hoursPerMonth,
database:
resources.database.instanceCount *
pricing["db.r6g.xlarge"] *
hoursPerMonth,
cache: resources.cache.nodes * pricing["cache.r6g.large"] * hoursPerMonth,
storage: resources.database.storage * pricing.storage,
bandwidth: trafficGB * pricing.bandwidth,
total: 0,
};
monthly.total = Object.values(monthly).reduce((sum, cost) => sum + cost, 0);
return {
monthly,
annual: monthly.total * 12,
};
}
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.
- 9d ago First seen · 243 lines · 50 tokens per session scan A 59c918742bef
capacity-planning-helper is a skill published in the GitHub repository patricio0312rev/skillset (6 stars, last pushed 8mo ago), licensed MIT. It adds 50 tokens to every session and 1,563 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to capacity-planning-helper, differing in 0 lines, and is treated as a copy.
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