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.
curl -O https://raw.githubusercontent.com/mepuka/effect-ontology/main/.claude/skills/effect-layers-services/SKILL.mdgit clone --depth 1 https://github.com/mepuka/effect-ontologyWrote 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.
[](https://agentmods.dev/skills/mepuka/effect-ontology/effect-layers-services)<a href="https://agentmods.dev/skills/mepuka/effect-ontology/effect-layers-services"><img src="https://agentmods.dev/badge/skills/mepuka/effect-ontology/effect-layers-services/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.
<a href="https://agentmods.dev/skills/mepuka/effect-ontology/effect-layers-services"><img src="https://agentmods.dev/badge/skills/mepuka/effect-ontology/effect-layers-services.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00027 | $0.00696 |
| Opus 5.5 | $0.00011 | $0.00278 |
| Sonnet 5.5 | $0.00005 | $0.00139 |
| Haiku 4.5 | $0.00003 | $0.00070 |
Grade A, and why
effect-layers-services 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.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Layers & Services
When to use
- You need DI boundaries or swapping test/live implementations
- You want to compose infra (logger, db, http) once for the app
Define Service
class UserRepo extends Effect.Service<UserRepo>()("UserRepo", {
sync: () => ({ find: (id: string) => Effect.succeed({ id }) })
}) {}
Provide Layer
const program = Effect.gen(function* () {
const repo = yield* UserRepo
return yield* repo.find("123")
}).pipe(Effect.provide(UserRepo.Default))
Compose
const AppLayer = Layer.merge(UserRepo.Default, Logger.Default)
Test vs Live
const layer = process.env.NODE_ENV === "test" ? UserRepoTest : UserRepo.Default
Guidance
- Services define interfaces; Layers bind implementations
- Compose layers at the app boundary; keep handlers unaware of wiring
- Use
.Defaultfor quick live/test setup; add custom layers as needed
Pitfalls
- Circular layer dependencies → split modules, provide from above
- Providing layers too deep → centralize to avoid duplication and confusion
Cross-links
- Foundations: requirement channel
Rand provisioning - Resources: scoped resources exposed via layers
- EffectPatterns inspiration: https://github.com/PaulJPhilp/EffectPatterns
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.
Key Source Files
- Layer:
docs/effect-source/effect/src/Layer.ts - Effect:
docs/effect-source/effect/src/Effect.ts - Context:
docs/effect-source/effect/src/Context.ts
Example Searches
# Find Layer composition patterns
grep -F "Layer.merge" docs/effect-source/effect/src/Layer.ts
grep -F "Layer.provide" docs/effect-source/effect/src/Layer.ts
# Study Effect.Service patterns
grep -F "Effect.Service" docs/effect-source/effect/src/Effect.ts
# Find Context usage
grep -F "Tag" docs/effect-source/effect/src/Context.ts
grep -F "make" docs/effect-source/effect/src/Context.ts
# Look at Layer test examples
grep -F "Layer." docs/effect-source/effect/test/Layer.test.ts
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.
- 2mo ago First seen · 93 lines · 27 tokens per session scan A e1710922ad9a
effect-layers-services is a skill published in the GitHub repository mepuka/effect-ontology (5 stars, last pushed 10mo ago), licensed MIT. It adds 27 tokens to every session and 696 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.
effect-layers-services compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| effect-layers-servicesmepuka/effect-ontology | Skill | 5 | 10mo ago | MIT | A | 27 | Claude Code |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
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| dev-runtimelangwatch/langwatch | Skill | 5.0k | yesterday | Apache-2.0 | A | 172 | Claude Code |
| api-designericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 105 | Claude Code, Codex |
| migrate-segw-to-raparc-mcp/arc-1 | Skill | 252 | yesterday | MIT | A | 106 | Claude Code |