Name: Yahoo-Finance-Data-Pipeline
Author: whitcojr

Imported from whitcojr/Yahoo-Finance-Data-Pipeline (AGENTS.md). Install upstream with npx skills add whitcojr/Yahoo-Finance-Data-Pipeline. Copyright stays with the author.

AGENTS.md – AI Usage Documentation

Overview

This project was developed with assistance from Claude (Anthropic), an AI language model.

How AI Was Used

Area	AI Contribution
Architecture	Recommended project structure and separation of concerns
Code generation	Produced initial source code for `main.py` and `utils.py`
Testing	Generated pytest unit and integration tests
CI/CD	Created GitHub Actions workflow
Documentation	Drafted README, docstrings, and this file
Config design	Suggested YAML-based config to avoid hard-coded values

Prompting Strategy

Provided a clear specification with numbered requirements (data pull, processing, export, best practices).
Asked for rationale on library choices (yfinance vs. alternatives).
Requested step-by-step implementation with explanations.

Human Review & Modifications

All AI-generated code was reviewed, tested, and modified as needed by the project author before submission.

# after Install: the listing is in your workspace's routing pool - a plan picks it for its slot curl -s -X POST https://api.opensmartroute.ai/api/v1/route -H 'Authorization: Bearer $OSR_API_KEY' -H 'Content-Type: application/json' -d '{"text": "...", "plan": true}'

Install Yahoo-Finance-Data-Pipeline and it becomes one more candidate the router can pick - when it fits.

A listing is a routing target with a manifest: what it does, which domains it covers, what it costs and who publishes it. Once installed it sits beside your own models and tools, is scored like any other candidate for each request, and shows up in the trace when it wins. Ratings come from workspaces that installed it, one per account.

{ "ocm": "1", "id": "whitcojr-yahoo-finance-data-pipeline-yahoo-finance-data-554918", "kind": "skill", "name": "Yahoo-Finance-Data-Pipeline", "description": "This project was developed with assistance from Claude (Anthropic), an AI language model.", "publisher": "whitcojr", "version": "1.0.0", "capabilities": { "domains": [ "general" ], "tags": [ "skill-md", "github-agents" ], "languages": [ "en" ] }, "quality_prior": 0.6, "examples": [ "This project was developed with assistance from Claude (Anthropic), an AI language model." ], "primary": false, "metadata": { "source": { "provider": "github-agents", "repository": "https://github.com/whitcojr/Yahoo-Finance-Data-Pipeline", "path": "AGENTS.md", "ref": "2cc7d936701cd8c0e998cbe89de25b80e9dc7689", "url": "https://github.com/whitcojr/Yahoo-Finance-Data-Pipeline/blob/2cc7d936701cd8c0e998cbe89de25b80e9dc7689/AGENTS.md", "key": "whitcojr/Yahoo-Finance-Data-Pipeline/AGENTS.md" } }, "instructions": "# AGENTS.md – AI Usage Documentation\n\n## Overview\n\nThis project was developed with assistance from Claude (Anthropic), an AI\nlanguage model.\n\n## How AI Was Used\n\n| Area | AI Contribution |\n| ------------------- | --------------------------------------------------------- |\n| Architecture | Recommended project structure and separation of concerns |\n| Code generation | Produced initial source code for `main.py` and `utils.py` |\n| Testing | Generated pytest unit and integration tests |\n| CI/CD ", "cost": { "context_tokens": 309 } }

Yahoo-Finance-Data-Pipeline

About

AGENTS.md – AI Usage Documentation

Overview

How AI Was Used

Prompting Strategy

Human Review & Modifications

Use it

Install Yahoo-Finance-Data-Pipeline and it becomes one more candidate the router can pick - when it fits.

Manifest

Reviews