pipedream-workflows

pipedream-workflows is a skill for Claude Code from oyi77/1ai-skills. It costs 38 tokens per session (1,390 once invoked), scanned A, original, MIT.

A guide for building Pipedream workflows, which are cloud-run automations triggered by events, schedules, web requests, or app activity. It covers code steps, app actions, data storage, and APIs.

In plain words
What is it for?
Use it to build webhook receivers, REST endpoints, scheduled jobs, app integrations, and automations that need Node.js packages.
Why use it?
It helps replace scattered integration scripts with workflows that can receive events, run code, call services, and store data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the 1ai-skills plugin — 212 skills, 4 commands shipped together

Good fit Use it to build webhook receivers, REST endpoints, scheduled jobs, app integrations, and automations that need Node.js packages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/oyi77/1ai-skills/pipedream-workflows
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.

Any agent
npx skills add oyi77/1ai-skills --skill pipedream-workflows
Clone the repo
git clone --depth 1 https://github.com/oyi77/1ai-skills

Made for: Claude Code.

Or install 1ai-skills, the plugin that ships this one along with the rest of its 212 skills, 4 commands.

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 pipedream-workflows

README.md
[![agentmods](https://agentmods.dev/badge/skills/oyi77/1ai-skills/pipedream-workflows/github.svg)](https://agentmods.dev/skills/oyi77/1ai-skills/pipedream-workflows)
Your own site
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/pipedream-workflows"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/pipedream-workflows/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.

agentmods 80×15 button for pipedream-workflows

Your own site · 80×15
<a href="https://agentmods.dev/skills/oyi77/1ai-skills/pipedream-workflows"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/pipedream-workflows.svg" alt="Reviewed on agentmods" width="80" 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 1,390 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 88
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 108
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00038 $0.01390
Opus 5.5 $0.00015 $0.00556
Sonnet 5.5 $0.00008 $0.00278
Haiku 4.5 $0.00004 $0.00139

Measured 1mo ago against content hash 5cf5834c7cbf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pipedream-workflows 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 1mo 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 axios.get('https://api.example.com/data', {
automation/pipedream-workflows/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Pipedream is a serverless integration and compute platform. It lets you build event-driven workflows with Node.js code steps, 1000+ pre-built app actions, and HTTP triggers — all running on serverless infrastructure.

Capabilities

  • Build workflows with HTTP, cron, or app event triggers
  • Write Node.js code steps with full npm access
  • Use 1000+ pre-built app actions
  • Store data in built-in Data Stores
  • Make HTTP requests to any API
  • Deploy as REST API endpoints
  • Use connected accounts for OAuth apps

When to Use

Trigger phrases:

  • "pipedream workflows"

  • "Building event-driven automation with custom code"

  • "Needing serverless compute for integration logic"

  • "Wanting npm package access in automation workflows"

  • Building event-driven automation with custom code

  • Needing serverless compute for integration logic

  • Wanting npm package access in automation workflows

  • Building webhook receivers and API endpoints

  • Replacing custom scripts with managed workflows

When NOT to Use

  • Task is simple enough for Zapier (use Zapier for no-code)
  • You need complex workflow orchestration (use n8n)
  • Task is about data storage, not workflow automation
  • You don't have API access to the services being integrated
  • Task requires real-time processing (use streaming tools)
  • You need to build a custom application (use development tools)

Pseudo Code

Implementation patterns for common use cases with this skill.

Workflow Structure

Trigger → Code Step → HTTP Request → IF → Pre-built Action → Code Step

Trigger Types

Type Config
HTTP $.interface.http — webhook endpoint
Schedule $.interface.timer — cron or interval
App Event New email, GitHub issue, etc.

Code Step (Node.js)

// Access previous step data
const prevData = $.steps.trigger.event;

// Use npm packages
const axios = require('axios');
const _ = require('lodash');

// Make HTTP request
const response = await axios.get('https://api.example.com/data', {
  headers: { Authorization: `Bearer ${$.auth.api_key}` },
});

// Process data
const filtered = _.filter(response.data, item => item.active);

// Return data to next step
return {
  count: filtered.length,
  items: filtered,
};

Read the full file on GitHub · 233 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. 1mo ago First seen · 233 lines · 38 tokens per session scan A 5cf5834c7cbf

Subscribe to this mod's changes

pipedream-workflows is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 1,390 once invoked, about $0.0002 per session on Opus 5.5. 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.