stablyai/orca - Open Source PR Review Scorecard

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.

C-Rank Grade: A (Welcoming) - 68/100

External PR Merge Rate: 68%

Response Time: 8h

First Timer Success: 31%

Frequently Asked Questions

Is stablyai/orca welcoming to first-time open-source contributors?

stablyai/orca has a recorded first-timer success rate of 30.7%. Repositories ranked A 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 stablyai/orca respond to incoming external pull requests in approximately 8.4 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 67.6 C-Rank™ score (A 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 67.6 places stablyai/orca in the A tier.

What is the external contributor pull request merge rate for stablyai/orca?

The external contributor pull request merge rate for stablyai/orca is 68.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in stablyai/orca?

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

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stablyai/orca

56,975
AWelcoming(68/100)TypeScript

Orca is the ADE for working with a fleet of parallel agents. Run any coding agent with your own subscription. Available on desktop, mobile and VPS.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.1/10
Patience Score
8.8/10
Nitpick Rate
40%

Highly welcoming maintainers in stablyai/orca. Prompt code reviews with positive guidance for new contributors.

Top PR Submission Do's

  • Ensure code complies with the project coding style
  • Keep PRs scoped to a single concern
  • Include context and link to the related issue

Top PR Friction Pitfalls (Don'ts)

  • Do not submit PRs without linking an issue
  • Do not break existing tests without fixing them
  • Do not mix unrelated refactors in a single PR
Response Velocity
8 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
68.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
30.7%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
301 core
Highly collaborative maintainer core
Diagnostic Health HUD
68.4%
Merge Gauge
30.7%
1st-Timer
Community Vibe60/100

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Active Good First Issues (5)

View on GitHub

[Bug]: Qwen Code is never detected on Windows — node-launched agents need a script-path entry Summary On Windows, Orca never recognizes Qwen Code as a running agent, even though it is listed as a supported agent and launches fine. Every orchestration path that requires agent identity fails: orca orchestration worker-start --task <t> --worktree <w> --agent qwen-code → state: failed · stage: agent_readiness · lastError: timeout orca orchestration dispatch --task <t> --to <handle> --inject → runtime_error: "Cannot dispatch --inject to terminal <handle>: no recognized agent detected." The error message lists the detectable agents and qwen is in that list, so this is not a missing-agent problem — it is a detection problem specific to Windows. Environment Orca 1.4.192 (desktop, Windows) Agent runtime host (not WSL) OS Windows 11 Pro for Workstations 22631 Qwen Code 0.22.3 (official Windows installer) Node 24.14.0 The same setup works on Linux, which i

📅 Opened Aug 30, 2026💬 0 comments
Quality: 75/100Contribute

Operating system Linux Orca version v0.14.2 Details Summary When using Antigravity CLI (agy) to generate a commit message, Orca appears to pass --sandbox as the actual user prompt instead of the commit-generation prompt. Antigravity then responds with messages such as: The user request contains --sandbox Could you please clarify what you would like to do or build? Claude and Codex work correctly for commit message generation in the same Orca installation. Environment OS: Fedora Linux Orca: v0.14.2 Antigravity CLI: v1.1.12 Model: gemini-3.6-flash Effort: low Orca configuration Agent: Antigravity CLI arguments: --add-dir . --model gemini-3.6-flash --effort low --dangerously-skip-permissions Command template: {basePrompt} {stagedPatch} The issue also occurred before adding --add-dir and --dangerously-skip-permissions. Steps to reproduce Open a Git repository in Orca. Stage some changes. Select Antigravity as the Commit Message agent. Use gemini-3.6-flash with --effort low. Generate a

📅 Opened Aug 12, 2026💬 1 comment
Quality: 50/100Contribute

Operating system Windows 11 Pro 10.0.26200 (x64) Orca version 1.4.180 Details Summary On some OMP panes the sidebar agent status stays at working forever after the agent's turn has fully completed. The OMP process is alive and idle at its prompt (not exited-to-shell). The same Orca session shows other OMP panes completing correctly at the same time, so this is not a global hook outage. The distinguishing feature of every stuck pane I found is its ORCA_PANE_KEY: it is a reminted $$<base32-hash>:L$$ token instead of the normal <tabId>:<leafUuid> form. Panes with the normal UUID-form key report status fine; panes with the $$...$$ form never get a single hook event into agent-hooks/last-status.json, so the completion edge never fires and the persisted sleepingAgentSessionsByPaneKey record stays at state: working indefinitely. What is happening Orca mints a pane's identity in two ways: The normal path (makePaneKey(tabId, leafUuid) in src/shared/stable-pane-id.ts, used by pty:spawn / launch

📅 Opened Aug 12, 2026💬 3 comments
Quality: 50/100Contribute

Title Feature: Add ZCode (Z.ai / GLM-5.2) as a first-class supported agent Body Is your feature request related to a problem? Yes. ZCode (Z.ai's AI coding agent running GLM-5.2) cannot be selected as an agent in Orca. It is absent from the agent registry, so users cannot spawn it from the Orca UI, and Orca's status bar cannot report "ZCode is working". Proposed solution Add ZCode to Orca's supported agent list, alongside Claude Code / Codex / Cursor / Gemini. Concretely, one or more of: Ship a zcode-hook.sh entry under ~/.orca/agent-hooks/ mirroring the existing cursor-hook.sh / kimi-hook.sh templates (they differ only by URL path). Provide an official wrapper recipe bridging ZCode's local-subprocess hooks to Orca's HTTP hook endpoint, so lifecycle state (SessionStart / PreToolUse / Stop / …) is forwarded into Orca. Engage with Z.ai on zai-org/feedback#32 as an integration partner, since that bug currently blocks native-agent hook firing. Why ZCode is a good fit ZCode already expo

📅 Opened Jul 25, 2026💬 0 comments
Quality: 60/100Contribute

Operating system n/a (UX / product feedback) Orca version Current (reported via X after the Codex ↔ Claude Code session-resume announcement) Details Source User feedback on X (@wngli85258651) in reply to the Orca ADE post about resuming the same session across agent harnesses (Codex ↔ Claude Code): This feature is great, but I'm having a lot of trouble when I have many sessions. The names in the session list don't match the custom names I've set in OC, which is causing a lot of confusion. Problem When users maintain many agent sessions, the names shown in Orca's session list(s) often do not match the custom names they already set (in the agent harness and/or as a session/tab rename in Orca). That makes resume/history hard to scan — especially for the multi-session and cross-harness resume workflows. Expected behavior Wherever Orca lists an agent session for identification or resume, the user-set custom name should win and stay consistent across surfaces: Left agent/session sid

📅 Opened Jul 24, 2026💬 4 comments
Quality: 50/100Contribute
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Contributor Compatibility & Review Speed Analysis for stablyai/orca

When evaluating whether to contribute to stablyai/orca, 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 stablyai/orca acknowledge new external contributions in approximately 8 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 68.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to stablyai/orca

01

Is stablyai/orca welcoming to first-time open-source contributors?

stablyai/orca has a recorded first-timer success rate of 30.7%. Repositories ranked Welcoming 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 ~8 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 67.6 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 67.6 places stablyai/orca in the Welcoming tier.

04

What is the external contributor pull request merge rate for stablyai/orca?

The external pull request merge rate is 68.4%. 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 stablyai/orca?

Yes, stablyai/orca 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 stablyai/orca 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.