DobermanCore/Doberman-Core - Open Source PR Review Scorecard

Your AI's guard dog. Doberman sits at runtime, gating every input, output and tool call to stop unsafe or unintended actions before they execute.

C-Rank Grade: S (Elite) - 75/100

External PR Merge Rate: 89%

Response Time: 1d

First Timer Success: 82%

Frequently Asked Questions

Is DobermanCore/Doberman-Core welcoming to first-time open-source contributors?

DobermanCore/Doberman-Core has a recorded first-timer success rate of 81.8%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.

How fast can I expect code review feedback on my pull request?

Maintainers in DobermanCore/Doberman-Core respond to incoming external pull requests in approximately 24.6 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 75.5 C-Rank™ score (S Tier) represent?

The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 75.5 places DobermanCore/Doberman-Core in the S tier.

What is the external contributor pull request merge rate for DobermanCore/Doberman-Core?

The external contributor pull request merge rate for DobermanCore/Doberman-Core is 89.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in DobermanCore/Doberman-Core?

DobermanCore/Doberman-Core currently has 15 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

DobermanCore
DobermanCore/Doberman-CoreS•Elite295
GitHub
Back to Explorer
DobermanCore

DobermanCore/Doberman-Core

295
InactiveS•Elite(75/100)Python

Your AI's guard dog. Doberman sits at runtime, gating every input, output and tool call to stop unsafe or unintended actions before they execute.

GitHub
Compare••
Jump to:

AI Maintainer Review Guidelines

Review Persona

Active Open-Source Maintainer

Warmth Score
7.8/10
Patience Score
8.2/10
Nitpick Rate
20%

Active maintainer team in DobermanCore/Doberman-Core welcoming community pull requests and bug fixes.

Top PR Submission Do's

  • •Ensure code complies with repository style conventions
  • •Keep PRs focused and well-documented

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without context
  • •Do not break existing automated test suites
Response Velocity
1 days+
Standard maintainer review cycle

Average Response Latency

Tracks hours until a maintainer leaves a review, comment, or PR response.

Merge Efficiency
89.4%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
81.8%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
14 core
Highly collaborative maintainer core
Diagnostic Health HUD
89.4%
Merge Gauge
81.8%
1st-Timer
Community Vibe72/100

Embed C-Rank Badge

Show contributors that your repository actively reviews and merges external pull requests.

GetMerged C-Rank badge for DobermanCore/Doberman-Core
[![GetMerged C-Rank](https://getmerged.abhishekco.de/api/badge/DobermanCore/Doberman-Core)](https://getmerged.abhishekco.de/DobermanCore/Doberman-Core?utm_source=github&utm_medium=badge)

Active Good First Issues (5)

View on GitHub

docs/CLI.md covers every registered command except two: doberman plugins and doberman policy-file don't appear at all. What to do Add a section for each, in the same shape as the others (what it does, its options, an example). Add a test that walks the registered commands the way tests/unit/test_cli_help.py:116 already does and asserts every non-hidden command appears in docs/CLI.md. It fails today on exactly those two, and it keeps the doc from drifting again.

📅 Opened Sep 27, 2026💬 0 comments
Quality: 100/100Contribute

setup, install-hooks, uninstall-hooks and uninstall all have --dry-run. decision-log-prune (src/doberman/cli/main.py:3055-3088) deletes audit rows with no way to preview how many. What to do Add dry_run to prune_decisions (src/doberman/storage/log.py:459-480): run the same deletes, count the rows, then conn.rollback() instead of committing. Add --dry-run to the command and print Would prune N row(s) (A by age, B over --max-rows). The delete predicate doesn't change, so pending AUTH rows are still never counted. Test (next to the prune tests in tests/integration/test_decision_log.py): the dry-run count matches what a real prune then removes, and the row count is unchanged after the dry run.

📅 Opened Sep 27, 2026💬 1 comment
Quality: 90/100Contribute

doberman plugins enable no_such_plugin succeeds, since plugin_config.enable (src/doberman/engine/plugin_config.py:130) only checks the name's format. After that nothing mentions that no installed package provides it, and doberman doctor has no plugin row (src/doberman/cli/doctor.py:584-601). What to do: add a non-critical "Plugins" check to run_checks that compares the enabled names with the installed entry points and shows [warn] enabled but not installed: <name>. Find installed names through _iter_entry_points only. The check must never import or load a plugin. Test (tests/unit/test_cli_doctor.py): enable a made-up name (point DOBERMAN_PLUGINS_FILE at tmp_path so the real config isn't touched) and assert the warn row. With nothing enabled the row passes. Stretch: plugins enable prints the same warning to stderr when the name matches nothing installed. This is separate from #638, which is about the allowlist trusting a name under every entry-point group.

📅 Opened Sep 27, 2026💬 0 comments
Quality: 90/100Contribute

docs/CLI.md promises every --json document is compact (CLI.md:109-119), and #431 fixed the same drift for tune. doberman policy-versions --show <id> --json still prints with indent=2 (src/doberman/cli/main.py:3052), because _policy_versions_show never receives as_json. What to do: pass as_json into _policy_versions_show and print compact, sorted JSON when it's set. The human view without --json keeps its indentation. Test: --show <id> --json prints one line that parses, and running it twice gives identical bytes. Stretch: one parametrized test that checks the CLI.md guarantees (parses, compact, sorted, identical on a rerun) across the --json modes of status, scan, doctor, policy-history, policy-versions and tune, so the next one can't drift.

📅 Opened Sep 27, 2026💬 0 comments
Quality: 90/100Contribute

doberman message-tone bogus prints: error: unknown message tone 'bogus'; choose one of ('human', 'technical') The tuple comes from formatting MESSAGE_TONES straight into the f-string at src/doberman/config.py:429. Sibling errors print a plain list (valid modes: light, balanced, …). What to do: join the names so it reads choose one of: human, technical. Test (tests/unit/test_message_tone.py): the error lists both tones and doesn't contain ('.

📅 Opened Sep 27, 2026💬 0 comments
Quality: 90/100Contribute
Looking for more Python beginner tasks?Explore Python GFI

Contributor Community Vibe Feedback

Rate what actually matters after opening a pull request here.

Have you contributed to this repo?

Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.

3 ratings required
Maintainer helpfulness
Review speed
Beginner friendliness

Contributor Compatibility & Review Speed Analysis for DobermanCore/Doberman-Core

When evaluating whether to contribute to DobermanCore/Doberman-Core, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.

Currently, maintainers of DobermanCore/Doberman-Core acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 89.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to DobermanCore/Doberman-Core

01

Is DobermanCore/Doberman-Core welcoming to first-time open-source contributors?

DobermanCore/Doberman-Core has a recorded first-timer success rate of 81.8%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.

02

How fast can I expect code review feedback on my pull request?

The initial maintainer response time averages ~1 days+. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 75.5 C-Rank™ score represent?

The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 75.5 places DobermanCore/Doberman-Core in the Elite tier.

04

What is the external contributor pull request merge rate for DobermanCore/Doberman-Core?

The external pull request merge rate is 89.4%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.

05

Are there beginner Good First Issues open in DobermanCore/Doberman-Core?

Yes, DobermanCore/Doberman-Core currently has 15 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for DobermanCore/Doberman-Core are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.