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 PaulJPhilp/EffectPatterns --skill effect-patterns-streams-sinksgit clone --depth 1 https://github.com/PaulJPhilp/EffectPatternsWrote 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/pauljphilp/effectpatterns/effect-patterns-streams-sinks)<a href="https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-streams-sinks"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-streams-sinks/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/pauljphilp/effectpatterns/effect-patterns-streams-sinks"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-streams-sinks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.07876 |
| Opus 5.5 | $0.00012 | $0.03150 |
| Sonnet 5.5 | $0.00006 | $0.01575 |
| Haiku 4.5 | $0.00003 | $0.00788 |
Grade A, and why
effect-patterns-streams-sinks 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 1mo 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 — 1,182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Effect-TS Patterns: Streams Sinks
This skill provides 6 curated Effect-TS patterns for streams sinks. Use this skill when working on tasks related to:
- streams sinks
- Best practices in Effect-TS applications
- Real-world patterns and solutions
🟡 Intermediate Patterns
Sink Pattern 1: Batch Insert Stream Records into Database
Rule: Batch stream records before database operations to improve throughput and reduce transaction overhead.
Good Example:
This example demonstrates streaming user records from a paginated API and batching them for efficient database insertion.
import { Effect, Stream, Sink, Chunk } from "effect";
interface User {
readonly id: number;
readonly name: string;
readonly email: string;
}
interface PaginatedResponse {
readonly users: User[];
readonly nextPage: number | null;
}
// Mock API that returns paginated users
const fetchUserPage = (
page: number
): Effect.Effect<PaginatedResponse> =>
Effect.succeed(
page < 10
? {
users: Array.from({ length: 50 }, (_, i) => ({
id: page * 50 + i,
name: `User ${page * 50 + i}`,
email: `user${page * 50 + i}@example.com`,
})),
nextPage: page + 1,
}
: { users: [], nextPage: null }
).pipe(Effect.delay("10 millis"));
// Mock database insert that takes a batch of users
const insertUserBatch = (
users: readonly User[]
): Effect.Effect<number> =>
Effect.sync(() => {
console.log(`Inserting batch of ${users.length} users`);
return users.length;
}).pipe(Effect.delay("50 millis"));
// Create a stream of users from paginated API
const userStream: Stream.Stream<User> = Stream.paginateEffect(
0,
(page) =>
fetchUserPage(page).pipe(
Effect.map((response) => [
Chunk.fromIterable(response.users),
response.nextPage !== null ? Option.some(response.nextPage) : Option.none(),
])
)
);
// Sink that batches users and inserts them
const batchInsertSink: Sink.Sink<number, never, User> = Sink.fold(
0,
(count, chunk: Chunk.Chunk<User>) =>
Effect.gen(function* () {
const users = Chunk.toArray(chunk);
const inserted = yield* insertUserBatch(users);
return count + inserted;
}),
(count) => Effect.succeed(count)
).pipe(
// Batch into groups of 100 users
Sink.withChunking((chunk) =>
chunk.pipe(
Chunk.chunksOf(100),
Stream.fromIterable,
Stream.runCollect
)
)
);
// Run the stream with batching sink
const program = Effect.gen(function* () {
const totalInserted = yield* userStream.pipe(
Stream.run(batchInsertSink)
);
console.log(`Total users inserted: ${totalInserted}`);
});
Effect.runPromise(program);
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.
- 1mo ago First seen · 1,182 lines · 29 tokens per session scan A 88a30e25b4eb
effect-patterns-streams-sinks is a skill published in the GitHub repository PaulJPhilp/EffectPatterns (807 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 7,876 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
effect-http-api
Build typed HTTP APIs with Effect's HttpApi — endpoints with schemas, handlers, security middleware, OpenAPI docs, derived clients, and handler unit tests. Use when building HTTP servers, REST APIs, or typed HTTP clients with Effect v4.
effect-http-client
Make outgoing HTTP requests with Effect's HttpClient — HttpClientRequest builders, schema-decoded HttpClientResponse bodies, the HttpClientError taxonomy, retryTransient/rate limiting/cookies/redirects, streaming uploads and downloads, and FetchHttpClient/NodeHttpClient transport layers. Use when calling external…
effect-http-server
Build HTTP servers with effect/unstable/http — HttpRouter routes and middleware, HttpServerRequest schema decoding, HttpServerResponse constructors, multipart uploads, websocket upgrades, static files, NodeHttpServer/BunHttpServer layers, and in-memory web handlers. Use when serving raw HTTP routes, reading request…
effect-socket
Build bidirectional socket transports with effect/unstable/socket — the Socket run/writer surface, WebSocket-backed sockets, TCP/Unix-domain clients via NodeSocket, SocketServer accept loops, channel adapters, the SocketError taxonomy, and reconnect patterns. Use when connecting to or serving raw TCP, Unix-domain, or…
effect-workflow
Build durable workflows with Effect using Workflow, Activity, DurableClock, DurableDeferred, and DurableQueue for execution that survives restarts, supports compensation (saga pattern), and integrates with Effect Cluster for distribution.
effect-stream
Build effectful pull-based streaming pipelines with Effect Stream — creation, transformation, consumption, NDJSON/Msgpack encoding, concurrency, resource safety. Use when working with values produced over time, paginated APIs, event listeners, or streaming I/O.