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 agentmods add skills/hookdeck/webhook-skills/twitch-webhooksnpx skills add hookdeck/webhook-skills --skill twitch-webhooksgit clone --depth 1 https://github.com/hookdeck/webhook-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/hookdeck/webhook-skills/twitch-webhooks)<a href="https://agentmods.dev/skills/hookdeck/webhook-skills/twitch-webhooks"><img src="https://agentmods.dev/badge/skills/hookdeck/webhook-skills/twitch-webhooks.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.02068 |
| Opus 5 | $0.00032 | $0.01034 |
| Sonnet 5 | $0.00013 | $0.00414 |
| Haiku 4.5 | $0.00006 | $0.00207 |
Grade A, and why
twitch-webhooks 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 2d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Twitch Webhooks
Twitch delivers events through EventSub over the webhook transport. Twitch does not follow the Standard Webhooks spec — it has its own signature scheme and a three-way message-type protocol you must handle.
When to Use This Skill
- How do I receive Twitch EventSub webhooks?
- How do I verify Twitch webhook signatures?
- How do I respond to the
webhook_callback_verificationchallenge? - How do I handle
stream.online,channel.follow, orchannel.subscribeevents? - Why is my Twitch webhook signature verification failing?
Verification (core)
Twitch signs an HMAC-SHA256 over the concatenation of the
Twitch-Eventsub-Message-Id header, the Twitch-Eventsub-Message-Timestamp
header, and the raw request body (in that order). The digest is sent in
Twitch-Eventsub-Message-Signature as sha256=<hex>. There is no SDK for the
webhook transport, so verify manually. Use the raw body and compare
timing-safe.
Node:
const crypto = require('crypto');
function verifyTwitchSignature(messageId, timestamp, rawBody, signatureHeader, secret) {
if (!messageId || !timestamp || !signatureHeader) return false;
const hmac = crypto.createHmac('sha256', secret);
hmac.update(messageId);
hmac.update(timestamp);
hmac.update(rawBody); // string or Buffer of the raw body
const expected = 'sha256=' + hmac.digest('hex');
try {
return crypto.timingSafeEqual(Buffer.from(signatureHeader), Buffer.from(expected));
} catch {
return false;
}
}
Python:
import hmac, hashlib
def verify_twitch_signature(message_id, timestamp, raw_body, signature_header, secret):
if not (message_id and timestamp and signature_header):
return False
message = message_id.encode() + timestamp.encode() + raw_body # raw_body is bytes
expected = "sha256=" + hmac.new(secret.encode(), message, hashlib.sha256).hexdigest()
return hmac.compare_digest(expected, signature_header)
Message Types
Read Twitch-Eventsub-Message-Type and branch. Verify the signature first for
all three types.
What ships with it
19 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.
- examples/express/.env.example 232 B
- examples/express/package.json 377 B
- examples/express/README.md 1.4 KB
- examples/express/src/index.js 6.2 KB runs code
- examples/express/test/webhook.test.js 7.7 KB runs code
- examples/fastapi/.env.example 232 B
- examples/fastapi/main.py 5.8 KB runs code
- examples/fastapi/README.md 1.6 KB
- examples/fastapi/requirements.txt 82 B
- examples/fastapi/test_webhook.py 7.2 KB runs code
- examples/nextjs/.env.example 232 B
- examples/nextjs/app/webhooks/twitch/route.ts 5.5 KB runs code
- examples/nextjs/package.json 489 B
- examples/nextjs/README.md 1.5 KB
- examples/nextjs/test/webhook.test.ts 5.3 KB runs code
- examples/nextjs/vitest.config.ts 140 B runs code
- references/overview.md 4.3 KB
- references/setup.md 3.9 KB
- references/verification.md 4.3 KB
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.
- 2d ago First seen · 176 lines · 63 tokens per session scan A e74f609143f2
twitch-webhooks is a skill published in the GitHub repository hookdeck/webhook-skills (84 stars, last pushed yesterday), licensed MIT. It adds 63 tokens to every session and 2,068 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…