effect-ontology: Skill for Claude Code

.claude/skills/effect-config-schema/SKILL.md

effect-config-schema is a skill for Claude Code from mepuka/effect-ontology. It costs 20 tokens per session (844 once invoked), scanned A, original, MIT.

Configuration loading and schema validation for Effect applications. Effect is a TypeScript library for describing and running application workflows.

In plain words
What is it for?
Use it to load environment variables, validate request bodies and parameters, transform input values, and select optional configuration such as AWS credentials.
Why use it?
It helps ensure that settings and external inputs have the expected shape and types before the application uses them.

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-config-schema/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mepuka/effect-ontology

Made for: Claude Code.

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.

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README.md
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agentmods 80×15 button for effect-config-schema

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Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 844 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 $0.00020 $0.00844
Opus 5.5 $0.00008 $0.00338
Sonnet 5.5 $0.00004 $0.00169
Haiku 4.5 $0.00002 $0.00084

Measured 2mo ago against content hash dda5a51d38eb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

effect-config-schema 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-config-schema/SKILL.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Config & Schema

When to use

  • Validating request bodies, params, or external inputs
  • Loading environment configuration with types

Config (example)

import { Config } from "effect"

const Server = Config.nested("SERVER")(Config.all({
  host: Config.string("HOST"),
  port: Config.number("PORT")
}))

Schema Validate

import { Schema as S } from "effect"

const User = S.Struct({ id: S.Number, name: S.String })
const decodeUser = (u: unknown) => S.decodeUnknown(User)(u)

Transform

const IsoDate = S.String // then transform to Date in pipeline where needed

Real-world snippet: Layer selecting AWS credentials via Config options

class AwsCredentials extends Effect.Service<AwsCredentials>()("AwsCredentials", {
  effect: Effect.gen(function* () {
    const accessKeys = yield* Config.option(
      Config.all([Config.string("CAP_AWS_ACCESS_KEY"), Config.string("CAP_AWS_SECRET_KEY")])
    )
    const vercelAwsRole = yield* Config.option(Config.string("VERCEL_AWS_ROLE_ARN"))

    const credentials = yield* Effect.gen(function* () {
      if (Option.isSome(vercelAwsRole)) return awsCredentialsProvider({ roleArn: vercelAwsRole.value })
      if (Option.isSome(accessKeys)) {
        const [accessKeyId, secretAccessKey] = accessKeys.value
        return { accessKeyId, secretAccessKey }
      }
      return fromContainerMetadata()
    })

    return { credentials }
  })
})

Guidance

  • Prefer schemas close to boundaries; keep core logic typed
  • For branded types (Email, PositiveInt), use transform/brand helpers
  • Validate early, map to domain errors in one place

Pitfalls

  • Accepting unknown into core → always decode first
  • Large ad-hoc validation code → centralize in Schema
  • HTTP & Routing for endpoint validation
  • Foundations for operator style

Local Source Reference

CRITICAL: Search local Effect source before implementing

The full Effect source code is available at docs/effect-source/. Always search the actual implementation before writing Effect code.

Read the full file on GitHub · 114 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 · 114 lines · 20 tokens per session scan A dda5a51d38eb

Subscribe to this mod's changes

effect-config-schema is a skill published in the GitHub repository mepuka/effect-ontology (5 stars, last pushed 10mo ago), licensed MIT. It adds 20 tokens to every session and 844 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.

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