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 latestaiagents/agent-skills --skill agent-cost-budgetinggit clone --depth 1 https://github.com/latestaiagents/agent-skillsWrote 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/latestaiagents/agent-skills/agent-cost-budgeting)<a href="https://agentmods.dev/skills/latestaiagents/agent-skills/agent-cost-budgeting"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-cost-budgeting/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/latestaiagents/agent-skills/agent-cost-budgeting"><img src="https://agentmods.dev/badge/skills/latestaiagents/agent-skills/agent-cost-budgeting.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 | $0.00049 | $0.02911 |
| Opus 5 | $0.00024 | $0.01456 |
| Sonnet 5 | $0.00010 | $0.00582 |
| Haiku 4.5 | $0.00005 | $0.00291 |
Grade A, and why
agent-cost-budgeting 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 — 442 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Cost Budgeting
Control and optimize token usage across AI agent systems.
When to Use
- Preventing runaway API costs
- Implementing per-task cost limits
- Optimizing multi-agent token usage
- Tracking and reporting AI spending
- Building cost-aware agent behaviors
Cost Model
interface CostModel {
provider: string;
model: string;
inputCostPer1K: number; // $ per 1000 input tokens
outputCostPer1K: number; // $ per 1000 output tokens
cacheCostPer1K?: number; // $ per 1000 cached tokens (if supported)
}
const COST_MODELS: Record<string, CostModel> = {
'claude-3-opus': {
provider: 'anthropic',
model: 'claude-3-opus-20240229',
inputCostPer1K: 0.015,
outputCostPer1K: 0.075
},
'claude-3-sonnet': {
provider: 'anthropic',
model: 'claude-3-sonnet-20240229',
inputCostPer1K: 0.003,
outputCostPer1K: 0.015
},
'claude-3-haiku': {
provider: 'anthropic',
model: 'claude-3-haiku-20240307',
inputCostPer1K: 0.00025,
outputCostPer1K: 0.00125
},
'gpt-4-turbo': {
provider: 'openai',
model: 'gpt-4-turbo',
inputCostPer1K: 0.01,
outputCostPer1K: 0.03
},
'gpt-4o': {
provider: 'openai',
model: 'gpt-4o',
inputCostPer1K: 0.005,
outputCostPer1K: 0.015
},
'gpt-4o-mini': {
provider: 'openai',
model: 'gpt-4o-mini',
inputCostPer1K: 0.00015,
outputCostPer1K: 0.0006
}
};
function calculateCost(
model: string,
inputTokens: number,
outputTokens: number
): number {
const costModel = COST_MODELS[model];
if (!costModel) throw new Error(`Unknown model: ${model}`);
return (
(inputTokens / 1000) * costModel.inputCostPer1K +
(outputTokens / 1000) * costModel.outputCostPer1K
);
}
Budget Management
interface Budget {
id: string;
name: string;
limitUSD: number;
spentUSD: number;
period: 'task' | 'hourly' | 'daily' | 'monthly';
resetAt?: Date;
alertThresholds: number[]; // e.g., [0.5, 0.8, 0.95]
hardLimit: boolean; // Stop vs warn at limit
}
class BudgetManager {
private budgets = new Map<string, Budget>();
async checkBudget(budgetId: string, estimatedCost: number): Promise<BudgetCheck> {
const budget = this.budgets.get(budgetId);
if (!budget) return { allowed: true };
const remaining = budget.limitUSD - budget.spentUSD;
const newTotal = budget.spentUSD + estimatedCost;
const utilizationAfter = newTotal / budget.limitUSD;
// Check thresholds
const crossedThresholds = budget.alertThresholds.filter(
t => budget.spentUSD / budget.limitUSD < t && utilizationAfter >= t
);
if (crossedThresholds.length > 0) {
await this.sendAlerts(budget, crossedThresholds);
}
// Check limit
if (estimatedCost > remaining) {
if (budget.hardLimit) {
return {
allowed: false,
reason: `Budget exceeded: ${remaining.toFixed(4)} USD remaining`,
remaining
};
} else {
return {
allowed: true,
warning: `Budget will be exceeded`,
remaining
};
}
}
return { allowed: true, remaining };
}
async recordSpend(budgetId: string, cost: number): Promise<void> {
const budget = this.budgets.get(budgetId);
if (!budget) return;
budget.spentUSD += cost;
// Check if period should reset
if (budget.resetAt && new Date() >= budget.resetAt) {
budget.spentUSD = cost; // Start fresh with current spend
budget.resetAt = this.calculateNextReset(budget.period);
}
}
}
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 · 442 lines · 49 tokens per session scan A f619ed1ba9dd
agent-cost-budgeting is a skill published in the GitHub repository latestaiagents/agent-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 2,911 once invoked, about $0.0002 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 2026-08-31.
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