cognizant-ai-lab/neuro-san
Grade a repo

85

/ 100

GradeB

Polished and well engineered. Punching above its star count.

Top 22% of 5,156 graded repos

Neuro AI System of Agent Networks

Documentation86
Engineering78
Health100
Python121Apache-2.01mo ago

Top fixes

Highest-impact changes first, ranked by point weight

10 to address
  1. 1
    Tests18pt

    Wire your tests to a documented command (e.g. a test script in your build config) so the suite is reproducible.

  2. 2
    README12pt

    Show a quick-start snippet so contributors can see what using your project looks like.

  3. 3
    Install and run instructions9pt

    Add a .env.example listing all required environment variables so contributors know what to set up.

  4. 4
    Reproducibility6pt

    Add .github/dependabot.yml with at least one package-ecosystem entry so dependencies are updated automatically.

Working through the fixes? Let every push regrade itself.

The free GitHub App rescans this repo on every push and posts the grade as a commit check, so the score climbs without coming back to rescan by hand.

Install the GitHub App

Scorecard

Every check, grouped by category and sorted worst-first

Documentation

86

Contributing guide5pt66

Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +12 pts.

→ Add setup instructions, code style notes, and how to run tests.

README12pt85

README is present.

Install and run instructions9pt90

README documents how to install the project.

License6pt100

Licensed under Apache-2.0.

Engineering

78

Issue and PR templates6pt0

No issue or PR templates found (−100 pts).

→ Add .github/ISSUE_TEMPLATE/ with bug_report.md and feature_request.md to guide contributors. It dramatically improves issue quality.

Tests18pt80

Test files detected (neuro_san/test).

Reproducibility6pt80

Lockfile present (requirements.txt). Installs are reproducible.

CI/CD14pt100

CI is configured (.github/workflows/checkmarx.yml).

Linting and formatting5pt100

Linter or formatter configured (.flake8).

Project health

100

Dependency manifest6pt100

Dependency manifest found (pyproject.toml).

Repository metadata5pt100

Repository has a description.

Activity5pt100

Actively maintained (pushed within the last month).

Housekeeping3pt100

.gitignore present.

Repository health signals

Activity, community, and responsiveness at scan time

Activity

  • -
    Commits (30d / 90d)
  • 42
    Forks
  • 172
    Releaseslatest 1y ago

Community

  • 75% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 121
    Watchers

Responsiveness

  • 5d 20h
    Median issue response
  • 2h
    Median PR merge time
  • 102
    Open issues
Repository files23 root entries
  • .github
    Good: CI is configured (.github/workflows/checkmarx.yml).
  • build_scripts
  • docs
  • neuro_san
    Good: Test files detected (neuro_san/test).
    Good: Environment pinned via neuro_san/deploy/Dockerfile.
  • quick-start
  • tests
  • .coveragerc
  • .flake8
    Good: Linter or formatter configured (.flake8).
  • .gitignore
    Good: .gitignore present.
  • .pylintrc
  • .pymarkdownlint.yaml
  • CODE_OF_CONDUCT.md
    Good: Code of conduct present.
  • CONTRIBUTING.md
    Issue: Contributing guide is too short for full depth credit (−6 pts). 400+ words earns the full +12 pts.Fix: Add setup instructions, code style notes, and how to run tests.
    Issue: Contributing guide lacks a setup section (−12 pts).Fix: Show new contributors how to get a local dev environment running.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Issue: Contributing guide lacks a testing section (−8 pts).Fix: Show contributors how to run the test suite (e.g. npm test, pytest, cargo test).
    Good: Contributing guide describes the PR/review workflow.
    Issue: Contributing guide has no code examples (−5 pts).Fix: Add code blocks showing example commands for setup, running tests, and submitting a PR.
  • LICENSE.txt
    Good: Licensed under Apache-2.0.
  • MANIFEST.in
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • pytest.ini
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Good: README includes screenshots or visuals. Great for first impressions.
    Issue: README has no code examples (−15 pts).Fix: Show a quick-start snippet so contributors can see what using your project looks like.
    Good: README links to a live demo or deployed app.
    Good: README includes status badges.
    Good: README documents how to install the project.
    Good: README documents how to run the project.
  • requirements-build.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • SECURITY.md
    Good: Security policy present.
  • setup.py
  • SUPPORT.md
RepoGrade badge preview

Add this badge to your README

It updates automatically each time the repo is re-graded.

[![RepoGrade](https://www.repo-grade.com/api/badge/cognizant-ai-lab/neuro-san)](https://www.repo-grade.com/report/cognizant-ai-lab/neuro-san)

More graded Python repos