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AI AgentsUpdated from GitHub

LMResiliency/lm-resiliency

Closed-loop fault localization and checkpoint recovery for LLM Pre-training

1068Python15d old

Summary

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

LMResiliency/lm-resiliency recorded 181 commits in the past 30 days, has 3 public contributors, and has averaged 7.1 stars a day since launch.

98

Repository health

6

Maintainer track record

93

Repository quality

58

Catalyst Score

Contributors

Public track record

LMResiliency GitHub avatar
LMResiliency

@LMResiliency · Repository organization

6/100

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

1 followers1 public repos0y history0 contributions
1 public repositories1 followers0 years of public history
Zhuang Wang GitHub avatar
Zhuang Wang

@zhuangwang93 · Top contributor

82/100

Established maintainer with a long public history and active community.

25 followers54 public repos8y history169 contributions
54 public repositories25 followers8 years of public history
dependabot[bot] GitHub avatar
dependabot[bot]

@dependabot[bot] · Top contributor

18/100

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

0 followers0 public repos7y history7 contributions
0 public repositories0 followers7 years of public history
lmresiliencydev GitHub avatar
lmresiliencydev

@lmresiliencydev · Top contributor

1/100

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

0 followers1 public repos0y history5 contributions
1 public repositories0 followers0 years of public history

Score breakdown

How the Catalyst Score was calculated

Star growth since launch+10
Fork growth since launch+2
Freshness+5
30-day commit activity+12
Contributor breadth+5
Maintainer track record+1
Topic activity+5
Repository quality+7
Topic novelty+11
Risk penalty0

Activity

Recent repository activity

181

Commits · 30d

3

Public contributors

7.1

Lifetime stars/day

146

Pull requests · 90d

Findings

What we found

181 commits in the last 30 days

3 public contributors

21 issues and 146 pull requests opened in 90 days

11 documentation and structure checks passed

Related repositories

checkpoint-recovery · 2 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
93%
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
2
Verified commits
100%
Merge commits
0%
Median time between commits
10 min

Repository footprint

Default branch: main

Repository size
5.3 MB
Branches
10
Tags
2
Watchers
0
WikiGitHub PagesIssue 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

Python100%

Community readiness

GitHub community health 100%

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
0.3 hours
Open
5
Stale over 30 days
0

Issue health

Latest 6 issues

Closure rate
100%
Median close time
1.3 hours
Open
0
Open without replies
0

Release cadence

Latest 2 release records

Latest release
v0.2.0
Published in 90 days
2
Median cadence
6.9 days
Asset downloads
8

CI reliability

Latest 50 workflow runs

Success rate
86%
Workflows represented
8
Failed runs
3
Median duration
1.4 min

Last checked

8/26/2026, 2:10:20 AM

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