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 tmolavi/mcp-agent-skills-hub --skill frontend-api-integration-patternsgit clone --depth 1 https://github.com/tmolavi/mcp-agent-skills-hubWrote 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/tmolavi/mcp-agent-skills-hub/frontend-api-integration-patterns)<a href="https://agentmods.dev/skills/tmolavi/mcp-agent-skills-hub/frontend-api-integration-patterns"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/frontend-api-integration-patterns/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/tmolavi/mcp-agent-skills-hub/frontend-api-integration-patterns"><img src="https://agentmods.dev/badge/skills/tmolavi/mcp-agent-skills-hub/frontend-api-integration-patterns.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 | $0.00037 | $0.01885 |
| Opus 5 | $0.00018 | $0.00942 |
| Sonnet 5 | $0.00007 | $0.00377 |
| Haiku 4.5 | $0.00004 | $0.00188 |
Grade A, and why
frontend-api-integration-patterns scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const res = await fetch(url, { How it starts
The opening of the file, as written. The whole thing — 343 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend API Integration Patterns
Overview
This skill provides production-ready patterns for integrating frontend applications with backend APIs.
Most frontend issues are not caused by APIs being difficult to call, but by incorrect handling of asynchronous behavior—leading to race conditions, stale data, duplicated requests, and poor user experience.
This skill focuses on correctness, resilience, and user experience, not just making API calls work.
When to Use This Skill
- Connecting frontend apps (React, React Native, Vue, etc.) to backend APIs
- Integrating ML/AI endpoints (
/predict,/recommend) - Handling asynchronous data in UI
- Fixing stale data, flickering UI, or duplicate requests
- Designing scalable frontend API layers
Core Patterns
1. API Layer (Separation of Concerns)
Centralize API logic and normalize errors.
export class ApiError extends Error {
constructor(message, status, payload = null) {
super(message);
this.name = "ApiError";
this.status = status;
this.payload = payload;
}
}
export const apiClient = async (url, options = {}) => {
const res = await fetch(url, {
headers: { "Content-Type": "application/json" },
...options,
});
if (!res.ok) {
let payload = null;
try {
payload = await res.json();
} catch (_) {}
throw new ApiError(
payload?.message || "Request failed",
res.status,
payload
);
}
// handle empty responses safely (e.g. 204 No Content)
if (res.status === 204) return null;
const text = await res.text();
return text ? JSON.parse(text) : null;
};
2. Race-Safe State Management
Prevent stale responses from overwriting fresh data.
useEffect(() => {
let cancelled = false;
const load = async () => {
try {
setLoading(true);
setError(null);
const result = await getUser();
if (!cancelled) setData(result);
} catch (err) {
if (!cancelled) setError(err.message);
} finally {
if (!cancelled) setLoading(false);
}
};
load();
return () => {
cancelled = true;
};
}, []);
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.
- 6d ago First seen · 343 lines · 37 tokens per session scan A db22a15dac87
frontend-api-integration-patterns is a skill published in the GitHub repository tmolavi/mcp-agent-skills-hub (8 stars, last pushed 14d ago), licensed MIT. It adds 37 tokens to every session and 1,885 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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