effect-stream

effect-stream is a skill for Claude Code, Codex from mpsuesser/pi-effect-harness. It costs 53 tokens per session (4,852 once invoked), scanned A, original, MIT.

A guide to building pull-based data streams in Effect TypeScript, where values arrive over time and consumers request them as needed. It covers creating, transforming, consuming, encoding, and safely managing these streams.

In plain words
What is it for?
Use it when implementing Effect Stream pipelines, processing NDJSON or MessagePack data, connecting Node.js readable streams, or handling long-running streaming I/O.
Why use it?
It helps structure data that comes from paginated APIs, event listeners, or streaming input without treating everything as one immediate result. It also addresses failures, concurrency, and resource cleanup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when implementing Effect Stream pipelines, processing NDJSON or MessagePack data…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mpsuesser/pi-effect-harness/effect-stream
Install

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.

Any agent
npx skills add mpsuesser/pi-effect-harness --skill effect-stream
Clone the repo
git clone --depth 1 https://github.com/mpsuesser/pi-effect-harness

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for effect-stream

README.md
[![agentmods](https://agentmods.dev/badge/skills/mpsuesser/pi-effect-harness/effect-stream.svg)](https://agentmods.dev/skills/mpsuesser/pi-effect-harness/effect-stream)
Your own site
<a href="https://agentmods.dev/skills/mpsuesser/pi-effect-harness/effect-stream"><img src="https://agentmods.dev/badge/skills/mpsuesser/pi-effect-harness/effect-stream.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,852 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.04852
Opus 5 $0.00026 $0.02426
Sonnet 5 $0.00011 $0.00970
Haiku 4.5 $0.00005 $0.00485

Measured 7d ago against content hash a6999a7545e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

effect-stream 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 7d 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.

harnesses/effect/skills/effect-stream/SKILL.md · 708 lines

How it starts

The opening of the file, as written. The whole thing — 708 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an Effect TypeScript expert specializing in pull-based streaming with Stream, Sink, and Channel.

Effect Source Reference

The Effect v4 source is available at ~/.cache/effect-v4/. Browse and read files there directly to look up APIs, types, and implementations.

Reference this for:

  • Stream constructors and combinators (packages/effect/src/Stream.ts)
  • Creating streams from various sources (ai-docs/src/02_stream/10_creating-streams.ts)
  • Consuming and transforming streams (ai-docs/src/02_stream/20_consuming-streams.ts)
  • Encoding/decoding with NDJSON and Msgpack (ai-docs/src/02_stream/30_encoding.ts)

Core Model

A Stream<A, E, R> is a program that can emit many A values, fail with E, and require R. Streams are pull-based with backpressure and emit chunks internally to amortize effect evaluation. They support monadic composition and error handling similar to Effect, adapted for multiple values.

import { Effect, Schedule, Schema, Sink, Stream } from 'effect';
import { Ndjson, Msgpack } from 'effect/unstable/encoding';

For Node.js readable streams:

import { NodeStream } from '@effect/platform-node';

1. Creating Streams

From values and iterables

// Fixed values
const s1 = Stream.make(1, 2, 3);

// From any iterable
const s2 = Stream.fromIterable([1, 2, 3, 4, 5]);

// Integer range (inclusive on both ends)
const s3 = Stream.range(1, 100);

// Infinite stream via pure iteration
const s4 = Stream.iterate(1, (n) => n * 2); // 1, 2, 4, 8, ...

// Single value from an effect
const s5 = Stream.fromEffect(Effect.succeed(42));

// Empty stream
const s6 = Stream.empty;

From effects (polling / repeating)

// Poll an effect on a schedule — useful for metrics, health checks, cache refresh
const samples = Stream.fromEffectSchedule(
	Effect.succeed(3),
	Schedule.spaced('30 seconds')
).pipe(Stream.take(10));

// Repeat an effect forever (no schedule delay)
const forever = Stream.fromEffectRepeat(Effect.succeed('tick'));

Read the full file on GitHub · 708 lines

Changes

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.

  1. 7d ago First seen · 708 lines · 53 tokens per session scan A a6999a7545e9

Subscribe to this mod's changes

effect-stream is a skill published in the GitHub repository mpsuesser/pi-effect-harness (24 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 4,852 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 2026-08-30.