youngbryan97/aura
Grade a repo

78

/ 100

GradeB

Well engineered. The main gap is linting.

Top 18% of 5,156 graded repos

A cognitive architecture that runs on your own machine. Internal state reaches generation through the model's activations, not the system prompt — and every consequential action leaves a receipt you can audit. Not an assistant. IIT 4.0 φ, CAA steering, 136 consciousness modules, local on Apple Silicon.

Documentation88
Engineering80
Health100
Python81Othertoday

Top fixes

Highest-impact changes first, ranked by point weight

8 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

    Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.

  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, or a renovate.json, so dependencies are updated automatically.

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Scorecard

Every check, grouped by category and sorted worst-first

Documentation

88

README12pt80

README is present.

Install and run instructions9pt90

README documents how to install the project.

Contributing guide5pt92

Contributing guide is detailed and thorough.

License6pt100

Licensed under Other.

Engineering

80

Linting and formatting5pt0

No linter or formatter config found.

→ Add a linter config such as .eslintrc.json, .prettierrc, ruff.toml, or .golangci.yml to enforce consistent code style.

Tests18pt80

Test files detected (archive/core_orphans_2026_07/test_distributed_substrate.py).

Reproducibility6pt80

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

CI/CD14pt100

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

Issue and PR templates6pt100

Issue or PR templates present.

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

  • 2558 / 9388
    Commits (30d / 90d)
  • 17
    Forks
  • 0
    Releases

Community

  • 85% - Good
    Community health
  • 1 bus factorlow
    author own >50% of commits
  • 81
    Watchers

Responsiveness

  • <1h
    Median issue response
  • <1h
    Median PR merge time
  • 4
    Open issues
Repository files102 root entries
  • .aura
  • .github
    Good: CI is configured (.github/workflows/decisive.yml).
    Good: Issue or PR templates present.
  • archive
    Good: Test files detected (archive/core_orphans_2026_07/test_distributed_substrate.py).
  • artifacts
  • aura
  • aura_bench
  • autonomy_engine
  • benchmarks
  • challenges
  • cloud
  • config
  • core
  • data
  • demos
  • dev_archive
  • docker
  • docs
  • environments
  • evals
  • executors
  • experiments
  • infrastructure
  • integration
  • interface
  • llm
  • memory
  • native
  • optimizer
  • proof_kernel
  • requirements
  • research
  • rust_extensions
  • scoping
  • scratch
  • scratchpad
  • scripts
  • security
  • senses
  • skills
  • slo
  • specs
  • storage
  • systemd
  • tests
  • tools
  • training
  • utils
  • __init__.py
  • .gitignore
    Good: .gitignore present.
  • .pre-commit-config.yaml
  • .python-version
  • AGENTS.md
  • AI_SYSTEM_CARD.md
  • ARCHITECTURE.md
  • ARTIFACT_INDEX.md
  • aura_cleanup.py
  • aura_full_codebase_audit.txt
  • aura_main.py
  • aura_source_and_tests.txt
  • Aura.entitlements
  • AUTONOMY_BOUNDARIES.md
  • build_app.sh
  • CHANGELOG.md
  • CITATION.cff
  • CLAIMS_MATRIX.md
  • CLAIMS_NOT_SUPPORTED.md
  • CLAIMS_SUPPORTED.md
  • CLAUDE.md
  • CONTRIBUTING.md
    Good: Contributing guide is detailed and thorough.
    Good: Contributing guide includes setup/install instructions.
    Issue: Contributing guide lacks a code style section (−8 pts).Fix: Describe your linting/formatting rules and how to run them.
    Good: Contributing guide explains how to run tests.
    Good: Contributing guide describes the PR/review workflow.
    Good: Contributing guide includes code examples.
  • DATA_CARD.md
  • docker-compose.yml
  • Dockerfile
    Good: Environment pinned via Dockerfile.
  • EVALUATE_AURA.md
  • HARDWARE_PROFILES.md
  • HOW_IT_WORKS.md
  • HUMAN_OVERRIDE_POLICY.md
  • INSTALL.md
  • KNOWN_FAILURE_MODES.md
  • launch_aura.sh
  • LICENSE
    Good: Licensed under Other.
  • main_daemon.py
  • Makefile
  • MEMORY_CARD.md
  • MODEL_CARD.md
  • OWNERSHIP.md
  • pyproject.toml
    Good: Dependency manifest found (pyproject.toml).
  • README.md
    Good: README is present.
    Good: README is well structured with multiple sections.
    Issue: No screenshots or images in the README (−20 pts).Fix: Add a GIF, screenshot, or logo image. It is the fastest way to show what your project does.
    Good: README has code examples.
    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_hardened.txt
  • requirements_lock.txt
  • requirements.txt
    Good: Lockfile present (requirements.txt). Installs are reproducible.
  • ROADMAP.md
  • SECURITY.md
    Good: Security policy present.
  • SERVICE_OWNERSHIP.md
  • test_connection_pool.py
  • test_consciousness.py
  • test_file_operations.py
  • test_memory_and_tools.py
  • test_memory_bounds_v64.py
  • test_profiles.py
  • test_tool_execution.py
  • TESTING.md
  • TOOL_USE_POLICY.md
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