wrdn-effect-raw-fetch-boundary

wrdn-effect-raw-fetch-boundary is a skill for Claude Code, Codex from UsefulSoftwareCo/executor. It costs 38 tokens per session (477 once invoked), scanned A, original, MIT.

A coding rule for sending network requests through Effect, a TypeScript framework for structuring programs, instead of calling the browser’s raw fetch function directly.

In plain words
What is it for?
Use it when adding or fixing HTTP code in core SDKs and protocol plugins, especially when a lint check rejects direct fetch calls.
Why use it?
It makes network code easier to replace with local test servers or mock services, so tests do not depend on real networks.

Skill for Claude CodeCodex

About the project

Executor is a shared integration layer that lets AI agents use tools from MCP servers, OpenAPI specifications, GraphQL APIs, and custom JavaScript functions through one catalog. It centralizes credentials and per-tool access policies so MCP-compatible agents can reuse the same integrations.

UsefulSoftwareCo/executor · 3,494 stars · on GitHub

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/usefulsoftwareco/executor/wrdn-effect-raw-fetch-boundary
Any agent
npx skills add UsefulSoftwareCo/executor --skill wrdn-effect-raw-fetch-boundary
Clone the repo
git clone --depth 1 https://github.com/UsefulSoftwareCo/executor

Made for: Claude Code, Codex.

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 wrdn-effect-raw-fetch-boundary

README.md
[![agentmods](https://agentmods.dev/badge/skills/usefulsoftwareco/executor/wrdn-effect-raw-fetch-boundary.svg)](https://agentmods.dev/skills/usefulsoftwareco/executor/wrdn-effect-raw-fetch-boundary)
Your own site
<a href="https://agentmods.dev/skills/usefulsoftwareco/executor/wrdn-effect-raw-fetch-boundary"><img src="https://agentmods.dev/badge/skills/usefulsoftwareco/executor/wrdn-effect-raw-fetch-boundary.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 477 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00038 $0.00477
Opus 5 $0.00019 $0.00238
Sonnet 5 $0.00008 $0.00095
Haiku 4.5 $0.00004 $0.00048

Measured 5d ago against content hash 42eef6c8c158, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wrdn-effect-raw-fetch-boundary scanned grade A with 1 finding 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 5d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

const response = await fetch(url);
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/wrdn-effect-raw-fetch-boundary/SKILL.md · 59 lines

What it actually says

HTTP in core SDK and protocol plugins should go through Effect services so tests can replace real networks with local protocol fixtures or mock HttpClient layers.

Fix Shape

  • Prefer effect/unstable/http HttpClient and HttpClientRequest for ordinary HTTP calls.
  • Accept a Layer.Layer<HttpClient.HttpClient> option on plugin/provider code when callers need to inject a test client.
  • In tests, use real local servers plus FetchHttpClient.layer or a captured HttpClient service from the test layer.
  • Do not add fetch-shaped abstractions in SDK or plugin seams. If a third-party library truly only accepts fetch, keep the adapter in the owning package, name the forced boundary explicitly, and delegate internally to Effect HttpClient.
  • Do not type new protocol/plugin seams as typeof globalThis.fetch; keep the ambient runtime boundary out of domain and test APIs.
  • Do not patch globalThis.fetch. Replace those tests with a local server, HttpClient layer, or the approved Effect-backed adapter.
  • Do not add a broad allowlist entry unless the file is a platform entrypoint or a temporary migration target.

Approved Boundaries

  • Worker/handler objects whose public API must expose a fetch method.
  • Test calls to a worker or Miniflare binding's .fetch(...) method.
  • Small adapters for libraries that only accept fetch, if the implementation delegates to Effect HttpClient.
  • Browser UI event handlers may remain raw only until app-side boundaries are classified; prefer SDK/client APIs where available.

Bad

const response = await fetch(url);
const fetchImpl = options.fetch ?? globalThis.fetch;

Good

const client = yield * HttpClient.HttpClient;
const response = yield * client.execute(HttpClientRequest.get(url));
const plugin = graphqlPlugin({ httpClientLayer: testHttpClientLayer });
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. 5d ago First seen · 59 lines · 38 tokens per session scan A 42eef6c8c158

Subscribe to this mod's changes

wrdn-effect-raw-fetch-boundary is a skill published in the GitHub repository UsefulSoftwareCo/executor (3,494 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 477 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens