effect-patterns-observability

effect-patterns-observability is a skill for Claude Code from PaulJPhilp/EffectPatterns. It costs 27 tokens per session (10,482 once invoked), scanned A, original, MIT.

A collection of Effect-TS patterns for observing what programs are doing through logging and inspection. Observability means gathering information that helps you understand and debug running software.

In plain words
What is it for?
Use it when debugging Effect pipelines, tracing fetched or processed data, and adding diagnostic logs.
Why use it?
It helps reveal values and program steps without changing the main flow of the code.

Skill for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Part of the effect-patterns plugin — 24 skills, 2 commands shipped together

Good fit Use it when debugging Effect pipelines, tracing fetched or processed data, and adding diagnostic logs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pauljphilp/effectpatterns/effect-patterns-observability
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 PaulJPhilp/EffectPatterns --skill effect-patterns-observability
Clone the repo
git clone --depth 1 https://github.com/PaulJPhilp/EffectPatterns

Made for: Claude Code.

Or install effect-patterns, the plugin that ships this one along with the rest of its 24 skills, 2 commands.

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-patterns-observability

README.md
[![agentmods](https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-observability/github.svg)](https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-observability)
Your own site
<a href="https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-observability"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-observability/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.

agentmods 80×15 button for effect-patterns-observability

Your own site · 80×15
<a href="https://agentmods.dev/skills/pauljphilp/effectpatterns/effect-patterns-observability"><img src="https://agentmods.dev/badge/skills/pauljphilp/effectpatterns/effect-patterns-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,482 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 569
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 573
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00027 $0.10482
Opus 5.5 $0.00011 $0.04193
Sonnet 5.5 $0.00005 $0.02096
Haiku 4.5 $0.00003 $0.01048

Measured 1mo ago against content hash d7e4b18e667b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

effect-patterns-observability 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.

config/.claude-plugin/plugins/effect-patterns/skills/effect-patterns-observability/SKILL.md · 1,587 lines

How it starts

The opening of the file, as written. The whole thing — 1,587 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Effect-TS Patterns: Observability

This skill provides 13 curated Effect-TS patterns for observability. Use this skill when working on tasks related to:

  • observability
  • Best practices in Effect-TS applications
  • Real-world patterns and solutions

🟢 Beginner Patterns

Debug Effect Programs

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

Good 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 · 1,587 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. 1mo ago First seen · 1,587 lines · 27 tokens per session scan A d7e4b18e667b

Subscribe to this mod's changes

effect-patterns-observability is a skill published in the GitHub repository PaulJPhilp/EffectPatterns (807 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 10,482 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.

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