Catalyst
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AI AgentsUpdated from GitHub

mco-org/mco

CLI-first orchestration for AI coding agents: run selected agents and models in parallel, compare raw answers, and coordinate review or implementation workflows.

49955Python180d old

Summary

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

mco-org/mco recorded 4 commits in the past 30 days, has 5 public contributors, and has averaged 2.8 stars a day since launch.

70

Repository health

25

Maintainer track record

82

Repository quality

42

Catalyst Score

Contributors

Public track record

mco-org GitHub avatar
mco-org

@mco-org · Repository organization

25/100

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

20 followers3 public repos0y history0 contributions
3 public repositories20 followers0 years of public history
tt-a1i GitHub avatar
tt-a1i

@tt-a1i · Top contributor

100/100

Established maintainer with a long public history and active community.

500 followers61 public repos7y history130 contributions
61 public repositories500 followers7 years of public history
Nick Maassel GitHub avatar
Nick Maassel

@nsmaassel · Top contributor

52/100

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

10 followers17 public repos14y history2 contributions
17 public repositories10 followers14 years of public history
Anas Khan GitHub avatar
Anas Khan

@anxkhn · Top contributor

86/100

Established maintainer with a long public history and active community.

379 followers265 public repos5y history1 contributions
265 public repositories379 followers5 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+4
Fork growth since launch+1
Freshness+0
30-day commit activity+2
Contributor breadth+6
Maintainer track record+3
Topic activity+12
Repository quality+7
Topic novelty+7
Risk penalty0

Activity

Recent repository activity

4

Commits · 30d

5

Public contributors

2.8

Lifetime stars/day

25

Pull requests · 90d

Findings

What we found

4 commits in the last 30 days

5 public contributors

15 issues and 25 pull requests opened in 90 days

8 documentation and structure checks passed

Related repositories

ai-agents · 14642 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 5 public contributors

Top contributor share
96%
Top three share
99%
Contributors checked
5
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
5
Verified commits
83%
Merge commits
16%
Median time between commits
17 min

Repository footprint

Default branch: main

Repository size
3.9 MB
Branches
41
Tags
23
Watchers
3
Issue 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

Python92.8%
JavaScript4.2%
Shell3%

Community readiness

GitHub community health 50%

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

Pull request health

Latest 50 pull requests

Merge rate
98%
Median merge time
0.1 hours
Open
0
Stale over 30 days
0

Issue health

Latest 17 issues

Closure rate
100%
Median close time
18.9 days
Open
0
Open without replies
0

Release cadence

Latest 17 release records

Latest release
v0.11.0
Published in 90 days
6
Median cadence
0.4 days
Asset downloads
3

CI reliability

Latest 50 workflow runs

Success rate
58%
Workflows represented
5
Failed runs
2
Median duration
3.3 min

Last checked

8/25/2026, 8:05:55 PM

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