Metabuilder-Labs/tokenjam - Open Source PR Review Scorecard

Token Efficiency For AI Agents

C-Rank Grade: S (Elite) - 76/100

External PR Merge Rate: 90%

Response Time: 20h

First Timer Success: 85%

Frequently Asked Questions

Is Metabuilder-Labs/tokenjam welcoming to first-time open-source contributors?

Metabuilder-Labs/tokenjam has a recorded first-timer success rate of 84.6%. 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 Metabuilder-Labs/tokenjam respond to incoming external pull requests in approximately 20.5 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 76.3 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 76.3 places Metabuilder-Labs/tokenjam in the S tier.

What is the external contributor pull request merge rate for Metabuilder-Labs/tokenjam?

The external contributor pull request merge rate for Metabuilder-Labs/tokenjam is 89.6%, based on public PR activity from non-core contributors.

Are there Good First Issues available in Metabuilder-Labs/tokenjam?

Metabuilder-Labs/tokenjam currently has 33 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".

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Metabuilder-Labs/tokenjam

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Token Efficiency For AI Agents

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AI Maintainer Review Guidelines

Review Persona

Strict Architecture Gatekeeper

Warmth Score
7.4/10
Patience Score
7.8/10
Nitpick Rate
55%

Strict review standards in Metabuilder-Labs/tokenjam. Ensure PR scope matches issue requirements closely before requesting review.

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
20 hours
Standard maintainer review cycle

Average Response Latency

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

Merge Efficiency
89.6%
High acceptance rate for external PRs

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
84.6%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
7 core
Highly collaborative maintainer core
Diagnostic Health HUD
89.6%
Merge Gauge
84.6%
1st-Timer
Community Vibe76/100

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Active Good First Issues (5)

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tokenjam/mcp/server.py's cost-row serializer and _HttpDB both enumerate CostRow's fields by hand, so a field added to CostRow and to the REST route can be dropped by MCP with nothing failing. That is the exact shape of #565, which this would let recur. Established by experiment during the #751 review. Two directions: A — the _HttpDB half IS gated. Added reasoning_tokens: int = 0 to CostRow, wired it into the REST /cost row dict and the MCP serializer, deliberately not into _HttpDB. Result: test_get_cost_summary_http_mode_preserves_complete_rows fails. Good. B — the serializer half is NOT. Same field on CostRow and the REST route, omitted from the MCP serializer (and _HttpDB). Result: 80 passed across test_mcp_server.py, test_storage_backend_parity.py and test_data_access_parity.py. Nothing fails, and MCP silently under-reports. B is #565 happening again. The reason A catches anything is incidental — the hand-written fake_response lacks the field, so _HttpDB not setting it makes t

📅 Opened Sep 10, 2026💬 0 comments
Quality: 50/100Contribute

Problem #729 added a shared guard in TjCommand.invoke that raises a clean ClickException when a DB-requiring leaf runs with ctx.obj["db"] is None, and replaced optimize's hand-rolled version with the shared db_required_message(). #727 asked for one copy of that message rather than two. There were more than two. Fifteen hand-rolled db is None errors are still in tokenjam/cli/, each with its own wording: cmd_backfill.py — lines 54, 180, 277, 339, 387, 436 ("backfill requires a database connection.") cmd_report.py — lines 77, 134 ("tj report requires a database connection.") cmd_route.py — lines 118 and 134 cmd_context.py:70, cmd_quota_audit.py:67, cmd_session_story.py:92, cmd_tokenmaxx.py:92 data_access.py:242 Two of these are worth more than a wording cleanup. cmd_route.py:134 is a verbatim copy of the shared message. It reads "route requires either a direct DuckDB connection or a running tj serve at the configured api.{host,port}" — the same sentence db_required_message() now

📅 Opened Aug 25, 2026💬 0 comments
Quality: 50/100Contribute

The test matrix job is the CI bottleneck — ~7 min typical, up to ~12 min on a loaded runner. Step-timing on a 3.10 job shows it's almost entirely test execution, not setup: Step Time Install deps ~23s Lint (ruff) ~1s Type check (mypy) ~14s Run tests ~7 min (up to ~12) Root cause: 5,037 tests run serially, single-process — only pytest + pytest-asyncio are installed (no pytest-xdist, no -n). Not redundancy per se; volume × no parallelism. Cost note: public repo → Actions is free/unmetered, and parallelizing within a job reduces wall-clock (fewer billed minutes on any private repo too) — no added cost. Prioritized fixes 1. Parallelize the test run — add pytest-xdist to [dev] and run pytest -n auto --dist loadscope. Ubuntu runners have multiple cores → realistically ~7 min → ~2-3 min. Caveat (validate carefully): this repo has global-state-sensitive tests — the OTel set-once TracerProvider and DuckDB single-writer paths (see the tracer-isolation history)

📅 Opened Jul 29, 2026💬 3 comments
Quality: 50/100Contribute

Severity: Low Where: four helpers that exist, are unit-tested, and have ZERO product callers: _package_uninstall_hint (cli/cmd_uninstall.py:64), session_token_cost_rollup (core/db.py:963), four_type_token_total (core/optimize/accounting.py:57), SchemaValidator.infer_schema_from_outputs (core/schema_validator.py:140). Observed: surfaced by the dead-code reachability sweep behind #599. Each was deliberately LEFT IN PLACE by that PR because none reads as leftover cruft — each reads as a wiring gap, i.e. a function that plausibly SHOULD have a caller and does not: _package_uninstall_hint returns the correct pipx/uv tool/pip uninstall command for how the user installed. Its sibling _package_reinstall_hint IS called; this one never is, so tj uninstall likely never tells the user the package-removal command it already knows how to compute. session_token_cost_rollup is the documented fix for a real accounting bug (fan-out harnesses posting raw OTLP whose cost spans carry only agent_id+trace

📅 Opened Jul 26, 2026💬 0 comments
Quality: 50/100Contribute

Severity: Medium Where: pyproject.toml (requires-python = ">=3.10", no upper bound), .github/workflows/ci.yml (python-version: ["3.10", "3.11", "3.12"]). Observed: On Python 3.13.2, pytest tests/unit tests/synthetic tests/agents tests/integration gives 95 failed, 3624 passed on a clean main. The same commit is fully green on all three CI versions. Failures cluster across unrelated modules — test_optimize_threshold_rendering (16), test_quickstart (10), integration/test_cli (9), test_onboard_* (19 across 5 files), test_cache_root_cause_render (5), test_ping (4), test_optimize_trim_provenance (4), test_optimize_resend_render (4) — which is the shape of an environment/dependency incompatibility rather than one broken feature. Why it matters: requires-python = ">=3.10" admits 3.13, so a user can pip-install onto an untested interpreter. Worse for development: a contributor on 3.13 sees a red suite and cannot distinguish their own regressions from the noise without first capturing a full

📅 Opened Jul 26, 2026💬 0 comments
Quality: 40/100Contribute
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Contributor Compatibility & Review Speed Analysis for Metabuilder-Labs/tokenjam

When evaluating whether to contribute to Metabuilder-Labs/tokenjam, 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 Metabuilder-Labs/tokenjam acknowledge new external contributions in approximately 20 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 89.6% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to Metabuilder-Labs/tokenjam

01

Is Metabuilder-Labs/tokenjam welcoming to first-time open-source contributors?

Metabuilder-Labs/tokenjam has a recorded first-timer success rate of 84.6%. 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 ~20 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.

03

What does the 76.3 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 76.3 places Metabuilder-Labs/tokenjam in the Elite tier.

04

What is the external contributor pull request merge rate for Metabuilder-Labs/tokenjam?

The external pull request merge rate is 89.6%. 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 Metabuilder-Labs/tokenjam?

Yes, Metabuilder-Labs/tokenjam currently has 33 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 Metabuilder-Labs/tokenjam 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.