debug-effect-programs

debug-effect-programs is a cursor rule for Cursor from PaulJPhilp/EffectPatterns. It costs 916 tokens per session, scanned A, original, MIT.

A debugging pattern for Effect programs, using logging to inspect values while the program continues normally.

In plain words
What is it for?
Use it to trace values and steps in TypeScript programs built with Effect.
Why use it?
It helps you see what passes through a processing pipeline without changing its results or control flow.

Cursor rule for Cursor

Written for Cursor: a Cursor rule (.mdc).

Good fit Use it to trace values and steps in TypeScript programs built with…

Compare 6 cursor rules from other repositories ↓
Install with agentmods
npx agentmods add rules/pauljphilp/effectpatterns/debug-effect-programs
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.

Clone the repo
git clone --depth 1 https://github.com/PaulJPhilp/EffectPatterns

Made for: Cursor.

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 debug-effect-programs

README.md
[![agentmods](https://agentmods.dev/badge/rules/pauljphilp/effectpatterns/debug-effect-programs.svg)](https://agentmods.dev/rules/pauljphilp/effectpatterns/debug-effect-programs)
Your own site
<a href="https://agentmods.dev/rules/pauljphilp/effectpatterns/debug-effect-programs"><img src="https://agentmods.dev/badge/rules/pauljphilp/effectpatterns/debug-effect-programs.svg" alt="Measured on agentmods" height="20"></a>
Per session 916 This file is loaded in full into every session.
When invoked 916 The same file — it is already loaded in full.
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 $0.00916 $0.00916
Opus 5 $0.00458 $0.00458
Sonnet 5 $0.00183 $0.00183
Haiku 4.5 $0.00092 $0.00092

Measured 3d ago against content hash 7673143ff5bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

debug-effect-programs 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 3d 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.

content/published/rules/cursor/debug-effect-programs.mdc · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

description: Use Effect.tap and logging to inspect values without changing program flow. globs: "**/*.ts" alwaysApply: true

Debug Effect Programs

Rule: Use Effect.tap and logging to inspect values without changing program flow.

Example

import { Effect, pipe } from "effect"

// ============================================
// 1. Using tap to inspect values
// ============================================

const fetchUser = (id: string) =>
  Effect.succeed({ id, name: "Alice", email: "[email protected]" })

const processUser = (id: string) =>
  fetchUser(id).pipe(
    // tap runs an effect for its side effect, then continues with original value
    Effect.tap((user) => Effect.log(`Fetched user: ${user.name}`)),
    Effect.map((user) => ({ ...user, processed: true })),
    Effect.tap((user) => Effect.log(`Processed: ${JSON.stringify(user)}`))
  )

// ============================================
// 2. Debug a pipeline
// ============================================

const numbers = [1, 2, 3, 4, 5]

const pipeline = Effect.gen(function* () {
  yield* Effect.log("Starting pipeline")

  const step1 = numbers.filter((n) => n % 2 === 0)
  yield* Effect.log(`After filter (even): ${JSON.stringify(step1)}`)

  const step2 = step1.map((n) => n * 10)
  yield* Effect.log(`After map (*10): ${JSON.stringify(step2)}`)

  const step3 = step2.reduce((a, b) => a + b, 0)
  yield* Effect.log(`After reduce (sum): ${step3}`)

  return step3
})

// ============================================
// 3. Debug errors
// ============================================

const riskyOperation = (shouldFail: boolean) =>
  Effect.gen(function* () {
    yield* Effect.log("Starting risky operation")

    if (shouldFail) {
      yield* Effect.log("About to fail...")
      return yield* Effect.fail(new Error("Something went wrong"))
    }

    yield* Effect.log("Success!")
    return "result"
  })

const debugErrors = riskyOperation(true).pipe(
  // Log when operation fails
  Effect.tapError((error) => Effect.log(`Operation failed: ${error.message}`)),

  // Provide a fallback
  Effect.catchAll((error) => {
    return Effect.succeed(`Recovered from: ${error.message}`)
  })
)

// ============================================
// 4. Trace execution flow
// ============================================

const step = (name: string, value: number) =>
  Effect.gen(function* () {
    yield* Effect.log(`[${name}] Input: ${value}`)
    const result = value * 2
    yield* Effect.log(`[${name}] Output: ${result}`)
    return result
  })

const tracedWorkflow = Effect.gen(function* () {
  const a = yield* step("Step 1", 5)
  const b = yield* step("Step 2", a)
  const c = yield* step("Step 3", b)
  yield* Effect.log(`Final result: ${c}`)
  return c
})

// ============================================
// 5. Quick debug with console
// ============================================

// Sometimes you just need console.log
const quickDebug = Effect.gen(function* () {
  const value = yield* Effect.succeed(42)
  
  // Effect.sync wraps side effects
  yield* Effect.sync(() => console.log("Quick debug:", value))
  
  return value
})

// ============================================
// 6. Run examples
// ============================================

const program = Effect.gen(function* () {
  yield* Effect.log("=== Tap Example ===")
  yield* processUser("123")

  yield* Effect.log("\n=== Pipeline Debug ===")
  yield* pipeline

  yield* Effect.log("\n=== Error Debug ===")
  yield* debugErrors

  yield* Effect.log("\n=== Traced Workflow ===")
  yield* tracedWorkflow
})

Effect.runPromise(program)

Read the full file on GitHub · 140 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. 3d ago First seen · 140 lines · 916 tokens per session scan A 7673143ff5bb

Subscribe to this mod's changes

debug-effect-programs is a cursor rule published in the GitHub repository PaulJPhilp/EffectPatterns (796 stars, last pushed 2mo ago), licensed MIT. It adds 916 tokens to every session, about $0.0046 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.