Tracer-Cloud/opensre - Open Source PR Review Scorecard

Build your own AI SRE agents. The open source toolkit for the AI era.

C-Rank Grade: A (Welcoming) - 66/100

External PR Merge Rate: 62%

Response Time: -

First Timer Success: 48%

Frequently Asked Questions

Is Tracer-Cloud/opensre welcoming to first-time open-source contributors?

Tracer-Cloud/opensre has a recorded first-timer success rate of 47.9%. 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 Tracer-Cloud/opensre respond to incoming external pull requests in approximately 0.0 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 66.2 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 66.2 places Tracer-Cloud/opensre in the A tier.

What is the external contributor pull request merge rate for Tracer-Cloud/opensre?

The external contributor pull request merge rate for Tracer-Cloud/opensre is 61.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Tracer-Cloud/opensre?

Tracer-Cloud/opensre does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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Tracer-Cloud/opensre

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Active (30d)A•Welcoming(66/100)Python

Build your own AI SRE agents. The open source toolkit for the AI era.

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AI Maintainer Review Guidelines

Review Persona

Welcoming Community Builder

Warmth Score
9.5/10
Patience Score
9.2/10
Nitpick Rate
25%

Highly welcoming maintainers in Tracer-Cloud/opensre. 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
-
No reviewer activity recorded

Average Response Latency

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

Merge Efficiency
61.6%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
47.9%
Accepts new contributor PRs

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
90 core
Highly collaborative maintainer core
Diagnostic Health HUD
61.6%
Merge Gauge
47.9%
1st-Timer
Community Vibe39/100

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GetMerged C-Rank badge for Tracer-Cloud/opensre
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Active Good First Issues (5)

View on GitHub

Context Follow-up to #5844 (macOS/Linux curl install). On Unix, opensre after a fresh install via the cURL script can take 7–14 seconds to load. We need the same cold-start measurement on Windows so we know whether the slowdown is installer-specific, platform-specific, or shared (e.g. Python import / binary startup). Requested in Discord — Windows counterpart to #5844. This issue is investigation only — collect timings and a short root-cause hypothesis. Fix work can be a separate follow-up once we have Windows numbers. Goal Measure how long opensre takes to become usable after a clean Windows install, and identify where time is spent. Replicate (Windows) Remove OpenSRE from the machine (binary/shims on PATH, any venv, and local checkout if present). Fresh install via the README PowerShell one-liner: irm https://install.opensre.com | iex Open a new PowerShell window (so PATH is current). Time the first opensre invocation, e.g.: Measure-Command { opensre --help } Also note

📅 Opened Aug 28, 2026💬 2 comments
Quality: 90/100Contribute

Problem Two engineer-facing docs describe the session-goal loop as the "outer loop": File Line core/agent_harness/AGENTS.md "uses dispatch, not the SessionGoal outer loop" gateway/AGENTS.md "agent.handle(text, TurnBinding(...)) — SessionGoal outer loop + ..." "Outer" only means something once you know there is an inner one, and the doc never says what the inner one is. Why it matters There are two real loops with real names: the SessionGoal turn budget (how many turns a goal may span) and the ReAct loop inside a single turn (tool calls until the model stops). "Outer" and "inner" are the informal shorthand for those, and a reader who has not sat in the conversation where the shorthand was coined cannot decode it. Both sentences already say "SessionGoal" — the word "outer" adds nothing. Steps In each sentence, replace "outer loop" with the thing it actually names — the SessionGoal turn loop, or simply "SessionGoal turns". Where the sentence contrasts it with what happe

📅 Opened Aug 23, 2026💬 3 comments
Quality: 100/100Contribute

Problem core/agent_harness/session_goal/run_until.py has two private helpers named after metaphors rather than what they do: Now Should say _paint(...) _emit_progress (it attaches the goal and calls on_progress) _finish_outer_turn(...) _finish_session_goal_turn Both are module-private with no importer outside this file — six calls to _paint, three to _finish_outer_turn. Why it matters "Outer turn" only means something once you know there is an inner one. The package's own vocabulary is SessionGoal turn (the budget) versus ReAct goal (the loop inside a turn), and the private names are the last place still using the older insider phrasing. Because both helpers are private and local, this is one of the safest renames in the tree — no public API, no persisted value, no wire format. Steps Rename _paint to a progress verb and update its six call sites. Rename _finish_outer_turn → _finish_session_goal_turn and update its three call sites. Rename the local variable painted i

📅 Opened Aug 23, 2026💬 2 comments
Quality: 90/100Contribute

Problem core/agent_harness/session_goal/continuation.py exports continuation_nudge. A "nudge" is chat jargon; the function returns the user-message text that continues a session goal, which is a prompt. Ten references across the tree, all first-party. Why it matters .cursor/rules/no-jargon-names.mdc and docs/NAMING.md ask for names that state behaviour. continuation_prompt tells a reader what comes back (prompt text); continuation_nudge tells them how the author felt about it. Steps Rename the function continuation_nudge → continuation_prompt in core/agent_harness/session_goal/continuation.py. Update __all__ in that module and any re-export in core/agent_harness/session_goal/__init__.py. Update the call site in run_until.py (the import near the top and the call near the bottom). Update tests. Fix the prose in the files you touched — a docstring that still says "nudge" next to a function named continuation_prompt is worse than before you started. Only in files this rename touches.

📅 Opened Aug 23, 2026💬 1 comment
Quality: 90/100Contribute

Problem Three docstrings and one contributor tip describe a package's public API as a "door". .cursor/rules/no-jargon-names.mdc and docs/NAMING.md ask for behaviour nouns a stranger can read; "door" is a metaphor that has to be learned before it means anything. File Line core/tool_framework/__init__.py "The tier's door for consumers above it." core/tool_framework/__init__.py "...behind the sibling core.tool_framework.utils door" core/tool_framework/utils/__init__.py "the one door consumers import these helpers through" AGENTS.md (adding a tool, step 1) "Import through those tier doors, not their internal submodules" Why it matters This is the first thing a contributor reads when adding a tool, and the sentence it appears in is otherwise precise — it names the border test that enforces the rule. "Door" is the one word in it that carries no meaning on first read. Steps Replace each occurrence with a plain term: public API, package entry, or import facade. Pick per sent

📅 Opened Aug 23, 2026💬 4 comments
Quality: 100/100Contribute
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Contributor Compatibility & Review Speed Analysis for Tracer-Cloud/opensre

When evaluating whether to contribute to Tracer-Cloud/opensre, 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 Tracer-Cloud/opensre acknowledge new external contributions in approximately -. Out of all submitted pull requests from non-core authors in the last 180-day window, 61.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Tracer-Cloud/opensre

01

Is Tracer-Cloud/opensre welcoming to first-time open-source contributors?

Tracer-Cloud/opensre has a recorded first-timer success rate of 47.9%. 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 ~-. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 66.2 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 66.2 places Tracer-Cloud/opensre in the Welcoming tier.

04

What is the external contributor pull request merge rate for Tracer-Cloud/opensre?

The external pull request merge rate is 61.6%. 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 Tracer-Cloud/opensre?

Tracer-Cloud/opensre does not have open beginner labels indexed currently, but external PRs for bugs and documentation improvements are evaluated via normal issue triage.

GetMerged C-Rank™ Indexing Standard

All metrics displayed for Tracer-Cloud/opensre 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.