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99-Example-Project-with-Agentic-Tools MCP Server

araju-econ/99-Example-Project-with-Agentic-Tools

Score: 45.3 Rank #107 AI Tool
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Overview

araju-econ/99-Example-Project-with-Agentic-Tools is a agent tool.

Ranked #107 out of 116 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description None
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Description low impact

Add a detailed description (150+ chars) to your repo to improve discoverability

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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AgentRank score for araju-econ/99-Example-Project-with-Agentic-Tools
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Matched Queries

"agent tool"

From the README

# 99 Example Project with Agentic Tools

This is an example project to learn how to work collaboratively using OneDrive and AI coding agents (Claude Code, Codex). Use it as a template for your own research projects.

> **Last updated:** 2026-03-25

## How the folder is organized

- `1_Literature/` — Papers and reference materials
- `2_Presentations/` — Slides and presentations
- `3_Admin/` — Data applications, administrative documents
- `4_Design/` — Research design and timelines
- `5_Questionnaires/` — Survey instruments and drafts
- `6_Ethics/` — Ethics applications and correspondence
- `7_Logistics/` — Field logistics, coordination, budgets
- `8_Analysis/` — Analysis work
  - `code/` — Scripts (stata/, R/, python/)
  - `data/` — Datasets (raw/ = untouched originals, clean/ = processed)
  - `output/` — Results (tables/, figures/)
- `log/` — AI agent session logs
- `archive/` — Old files go here (we never delete, only archive)

The whole folder lives on OneDrive so everyone on the tea
Read full README on GitHub →

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