aidd-service

A set of rules for building services that load or manage data between an interface and other parts of an application. It separates front-end services, which expose observable data and actions, from back-end services, which return data asynchronously.

In plain words
What is it for?
Use it when designing service layers, data flows, service interfaces, observable state, and actions that update an application's interface.
Why use it?
It helps keep data moving in one predictable direction and prevents interface code from directly depending on back-end operations.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/paralleldrive/aidd/aidd-service
Any agent
npx skills add paralleldrive/aidd --skill aidd-service
Clone the repo
git clone --depth 1 https://github.com/paralleldrive/aidd

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 975 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00057 $0.00975
Opus 5 $0.00028 $0.00487
Sonnet 5 $0.00011 $0.00195
Haiku 4.5 $0.00006 $0.00097

Measured 3d ago against content hash b59c89855049, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

aidd-service 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.

ai/skills/aidd-service/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Service authoring

Asynchronous data services. Live in the services/ layer per structure. Adhere to namespace for type and function organization.

Data = readonly JSON values or Blobs.


Front-end vs back-end services

FrontEndService {
  allowed: ["Observe<Data>", "other services (sub-Services)", "void-returning action functions"]
  notAllowed: ["Promise or AsyncGenerator return"]
}

BackEndService {
  typicallyReturns: "Promise<Data> | AsyncGenerator<Data>"
  notCalledFrom: "UI"
  calledBy: "front-end services"
}

Constraints {
  UI components: unidirectional path — data down via void actions, data up via Observe
}

Back-end services — usually stateless. Functions typically return Promise<Data> or AsyncGenerator<Data>. Not called directly from UI; front-end services call them.


Front-end service constraints

ServiceInterfaceForUI {
  mayContain: [
    "Observe<Data> — observable properties or factories",
    "Sub-Services — nested service interfaces",
    "Action functions — zero or more Data arguments, return void only",
    "Factory functions — create observables or sub-Services"
  ]
  observablesMayObserve: ["Data", "Service interfaces only"]
  compileTimeCheck: "Assert<AsyncDataService.IsValid<ServiceInterface>>"
}

Benefits

  • Unidirectional flow — data down via actions, data up via Observe
  • Async isolation — view and service decoupled
  • Inspectability — action/observable data serializable
  • Portability — implementation swappable across process boundaries
  • Lazy Loading - can use AsyncDataService.createLazy to wrap with lazy load on first actual usage.

Folder structure

ServicePaths {
  "services/<name>-service/<name>-service.ts" = "Service interface only"
  "services/<name>-service/<function-name>.ts" = "One file per function; re-export from public"
  "services/<name>-service/<implementation>-<name>-service.ts" = "Implementation factory"
  "services/<name>-service/<implementation>-<name>-service/" = "Implementation folder if multi-file"
}

Constraints {
  Each function lives in its own file — not a single -service-functions.ts
  Interface file: types and optionally JSON schemas only; no implementation-specific code
  Implementation: factory function or static plain object only; no classes
  Namespace: export * as ServiceName from public.js or from functions/index.js
}

Read the full file on GitHub · 109 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 109 lines · 57 tokens per session scan A b59c89855049

Subscribe to this mod's changes

aidd-service is a skill published in the GitHub repository paralleldrive/aidd (380 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 975 once invoked, about $0.0003 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 2026-08-30.

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