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.
npx skills add oyi77/1ai-skills --skill pipedream-workflowsgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/pipedream-workflows)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00038 | $0.01390 |
| Opus 5 | $0.00019 | $0.00695 |
| Sonnet 5 | $0.00008 | $0.00278 |
| Haiku 4.5 | $0.00004 | $0.00139 |
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 8d 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', { 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,
};
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.
- 8d ago First seen · 233 lines · 38 tokens per session scan A 5cf5834c7cbf
pipedream-workflows is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 1,390 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.
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