Explore/agent app/Specifying and Maintaining Agentic Workflows: An Empirical Study of GitHub Agentic Workflows
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Jasem Khelifi, Issam Oukhay, Ali Ouni, Mohammed Sayagh, Mohamed Aymen Saied/Specifying and Maintaining Agentic Workflows: An Empirical Study of GitHub Agentic WorkflowsUnknown

This paper studies how developers design and maintain GitHub Agentic Workflows—Markdown files that combine natural‑language instructions with configuration to automate AI agent tasks in GitHub Actions. It analyzes thousands of files to reveal common structure, evolution patterns, and gaps such as prompt‑injection defenses.

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AgentHub Score
55 / 100
Composite score from 6 signals. How we score →
Active project
55Score
Growth
40C
Activity
30C
Documentation
70C+
Maturity
45C
Community
42C
Production
58C
GitHub stars · 0 days observed0 not enough history
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Repository activity · 0 days observednot enough history from pushed_at
inactivepushed
not enough history
not enough history
Practical assessment
Should you use it?

✓ Best for

  • Research and experimentation
  • Prototype development
  • Learning agentic patterns

◎ Strengths

  • Active community
  • Open source
  • Well-documented API

✕ Not ideal for

  • Untested at scale without validation
  • Teams without AI/ML expertise

⚠ Watch-outs

  • Review changelog before updating
  • Verify license for commercial use
Technical details
What's inside
Language—
License—
Sourcearxiv
Open source✗ No
Commercial use—
Docs—
Demo—

AgentHub Score

55
Score 55/100
Below average

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