effect-ontology: Skill for Claude Code

.claude/skills/effect-errors-retries/SKILL.md

effect-errors-retries is a skill for Claude Code from mepuka/effect-ontology. It costs 32 tokens per session (1,221 once invoked), scanned A, original, MIT.

A guide for representing errors and deciding how programs recover from them in Effect, a TypeScript library for describing reliable programs. It covers named errors, error conversion, recovery, retries, delays, timeouts, and races.

In plain words
What is it for?
Use it when defining application errors, translating lower-level failures, adding retry and backoff policies, or setting time limits for operations.
Why use it?
It helps make failures explicit and gives different problems appropriate recovery behaviour instead of handling all errors the same way.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

This is mepuka/effect-ontology's own configuration. It tells Claude Code how to work on effect-ontology itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything effect-ontology configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mepuka/effect-ontology. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mepuka/effect-ontology/main/.claude/skills/effect-errors-retries/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mepuka/effect-ontology

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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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.

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Your own site · 80×15
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Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,221 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 $0.00032 $0.01221
Opus 5.5 $0.00013 $0.00488
Sonnet 5.5 $0.00006 $0.00244
Haiku 4.5 $0.00003 $0.00122

Measured 2mo ago against content hash 1724a6fd8be5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

effect-errors-retries 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 2mo 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.

.claude/skills/effect-errors-retries/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Errors & Retries

When to use

  • You’re defining domain errors and recovery policies
  • You need to map infrastructure errors to domain boundaries
  • You must add retries, backoff, jitter, and timeouts

Model Errors

import { Data } from "effect"

class ValidationError extends Data.TaggedError("ValidationError")<{ field: string; reason: string }>{}
class NotFoundError extends Data.TaggedError("NotFoundError")<{ id: string }>{}

Map/Boundary

const repoCall = Effect.fail(new ValidationError({ field: "name", reason: "empty" }))

const service = repoCall.pipe(
  Effect.mapError((e) => new ServiceError({ cause: e }))
)

Recover Precisely

program.pipe(
  Effect.catchTags({
    ValidationError: (e) => Effect.succeed(fix(e)),
    NotFoundError: (e) => Effect.succeed(defaultValue)
  })
)

Retry Policies

import { Schedule } from "effect"

const retry = Schedule.exponential("100 millis").pipe(
  Schedule.jittered,
  Schedule.compose(Schedule.recurs(5))
)

const resilient = program.pipe(Effect.retry(retry))

Timeouts & Races

const withTimeout = Effect.timeout(program, "2 seconds")

Guidance & Pitfalls

  • Create separate TaggedError types per failure mode; avoid generic Error
  • Map low-level (HTTP/DB) errors to domain errors at the boundary
  • Retry only transient errors (use predicates with Schedule.whileInput)
  • Always combine retry with timeouts for bounded latency
  • Prefer catchTags over broad catchAll for clarity and safety

Real-world snippet: Map HTTP errors and retry selectively

// Verify URL with HEAD-range request, map ResponseError to domain errors,
// retry with exponential backoff unless invalid.
const verify = http.get(url, { headers: { range: "bytes=0-0" } }).pipe(
  Effect.flatMap(HttpClientResponse.filterStatus((s) => s < 400)),
  Effect.catchIf(
    (e) => e._tag === "ResponseError",
    (cause) =>
      cause.response.status < 500
        ? Effect.fail(new VideoInvalidError({ cause: "NotFound" }))
        : Effect.fail(new ExternalLoomError({ cause: cause.response }))
  ),
  Effect.retry({
    schedule: Schedule.exponential("200 millis"),
    times: 3,
    while: (e) => e._tag !== "VideoInvalidError"
  }),
  Effect.catchTag("RequestError", Effect.die)
)

Read the full file on GitHub · 153 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. 2mo ago First seen · 153 lines · 32 tokens per session scan A 1724a6fd8be5

Subscribe to this mod's changes

effect-errors-retries is a skill published in the GitHub repository mepuka/effect-ontology (5 stars, last pushed 10mo ago), licensed MIT. It adds 32 tokens to every session and 1,221 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 2026-08-31.

Related

effect-errors-retries compared with skills from other repositories

effect-errors-retries next to 6 skills from other repositories
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