Catalyst
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AI AgentsUpdated from GitHub

Francis1998/scholar-rag-agent

Production-grade Agentic RAG for scientific literature — multi-hop reasoning, GraphRAG, and multi-LLM routing

14619Python65d old

Summary

The available public data is mixed. More sustained activity or a broader contributor base would strengthen the score.

Francis1998/scholar-rag-agent recorded 118 commits in the past 30 days, has 3 public contributors, and has averaged 2.2 stars a day since launch.

85

Repository health

73

Maintainer track record

97

Repository quality

55

Catalyst Score

Contributors

Public track record

Shunqi Liu GitHub avatar
Shunqi Liu

@Francis1998 · Repository owner

73/100

Active maintainer with a growing open-source track record.

48 followers34 public repos6y history132 contributions
34 public repositories48 followers6 years of public history
Cursor Agent GitHub avatar
Cursor Agent

@cursoragent · Top contributor

83/100

Established maintainer with a long public history and active community.

6.9K followers0 public repos1y history96 contributions
0 public repositories6889 followers1 years of public history
cursor[bot] GitHub avatar
cursor[bot]

@cursor[bot] · Top contributor

14/100

This account has a limited public history, so the track-record score is less certain.

0 followers0 public repos1y history92 contributions
0 public repositories0 followers1 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+3
Fork growth since launch+1
Freshness+2
30-day commit activity+12
Contributor breadth+5
Maintainer track record+9
Topic activity+4
Repository quality+8
Topic novelty+11
Risk penalty0

Activity

Recent repository activity

118

Commits · 30d

3

Public contributors

2.2

Lifetime stars/day

0

Pull requests · 90d

Findings

What we found

118 commits in the last 30 days

3 public contributors

0 issues and 0 pull requests opened in 90 days

12 documentation and structure checks passed

Related repositories

agentic-rag · 0 created in the past 30 days

Risk review

What needs watching

No material structural red flags detected; monitor maintainer concentration

Public GitHub data cannot verify private work, employment claims, code security, or identity. Use the track-record score as research context, not proof of identity or trustworthiness.

Growth quality

Recent attention and maintainer concentration

Recent timestamps and contribution patterns help distinguish sustained adoption from a single headline number.

Contributor concentration

Top 3 public contributors

Top contributor share
41%
Top three share
100%
Contributors checked
3
Concentration
High

Shares use the contribution totals reported for the contributors checked, not private or unlinked activity.

Recent commit sample

Latest 100 commits

Unique authors
3
Verified commits
100%
Merge commits
41%
Median time between commits
4 min

Repository footprint

Default branch: main

Repository size
1.8 MB
Branches
83
Tags
0
Watchers
14
WikiIssue tracking

Deeper GitHub data

Delivery, collaboration, and project readiness

These metrics use the latest public records GitHub makes available for this repository.

Language composition

Share of detected source bytes

Python99.8%
Makefile0.1%
Shell0%
Dockerfile0%

Community readiness

GitHub community health 85%

README
License
Contributing guide
Code of conduct
Issue template
Pull request template

Pull request health

Latest 50 pull requests

Merge rate
100%
Median merge time
0.2 hours
Open
0
Stale over 30 days
0

Issue health

Latest 3 issues

Closure rate
0%
Median close time
Not enough data
Open
3
Open without replies
3

CI reliability

Latest 50 workflow runs

Success rate
100%
Workflows represented
2
Failed runs
0
Median duration
0.8 min

Last checked

8/26/2026, 2:14:06 AM

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