santifer/career-ops - Open Source PR Review Scorecard

Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)

C-Rank Grade: B (Solid) - 55/100

External PR Merge Rate: 60%

Response Time: 2d

First Timer Success: 52%

Frequently Asked Questions

Is santifer/career-ops welcoming to first-time open-source contributors?

santifer/career-ops has a recorded first-timer success rate of 51.9%. Repositories ranked B 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 santifer/career-ops respond to incoming external pull requests in approximately 36.7 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.

What does the 54.9 C-Rank™ score (B 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 54.9 places santifer/career-ops in the B tier.

What is the external contributor pull request merge rate for santifer/career-ops?

The external contributor pull request merge rate for santifer/career-ops is 60.4%, based on public PR activity from non-core contributors.

Are there Good First Issues available in santifer/career-ops?

santifer/career-ops does not currently have active "good first issue" tags indexed, but accepts external contributions through standard GitHub issue tracking.

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santifer/career-opsB•Solid69.4k
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santifer/career-ops

69,354
InactiveB•Solid(55/100)JavaScript

Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)

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AI Maintainer Review Guidelines

Review Persona

Strict Quality Architect

Warmth Score
7.2/10
Patience Score
7.7/10
Nitpick Rate
35%

Balanced & professional review environment in santifer/career-ops. Maintains strict focus on technical quality and test standards.

Top PR Submission Do's

  • •Add unit tests with >80% coverage for modified code paths
  • •Run repository linter and code formatters locally before pushing
  • •Link relevant GitHub issue ID in PR description pre-flight checklist

Top PR Friction Pitfalls (Don'ts)

  • •Do not submit unlinked PRs without referencing an existing issue
  • •Do not mix refactoring and feature logic into a single commit
  • •Do not ping maintainers repeatedly within 24 hours of opening
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
60.4%
Moderate PR acceptance rate

External Acceptance Rate

Percentage of community pull requests successfully merged into main.

First-Timer Success
51.9%
Strong first-timer PR acceptance rate

First PR Conversion

Rate at which developers submitting their first repository PR succeed.

Active Maintainers
80 core
Highly collaborative maintainer core
Diagnostic Health HUD
60.4%
Merge Gauge
51.9%
1st-Timer
Community Vibe42/100

Embed C-Rank Badge

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

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

Active Good First Issues (5)

View on GitHub

Time: ~2-3h · Difficulty: Intermediate · Area: scanner What Add a domain-level aggregator/repost detection list to the scanner, complementing the existing SimHash cross-listing warning (FAQ §5). Today the scanner catches agency reposts by content: a SimHash fingerprint of each job description flags near-identical duplicates. A domain list catches them by source, which is cheaper, works when the text has been rewritten, and needs no fingerprint at all. They're complements, not competitors. Seed (with credit) @gup-abhi enumerated ~20 aggregator boards that repost other people's listings in #1944 (Recruit.net, Zippia, Expertini, Jooble, Adzuna, Neuvoo, JobisJob, Jobrapido, …), including the hard part most lists get wrong: Indeed is carved out as a primary board, not a scraper, because companies post there directly. That list is the starting point, and landing it earns the credit it deserves: keep the carve-out reasoning in a short note per entry. Acceptance criteria A data file (e.

📅 Opened Aug 31, 2026💬 2 comments
Quality: 90/100Contribute

Time: ~20 min · Difficulty: Beginner Several user-facing scripts documented in docs/SCRIPTS.md still have no --help, so running one with a wrong flag gives you no way to discover the right one. We already fixed this for stats.mjs, followup-cadence.mjs, detect-reposts.mjs and check-liveness.mjs; these four are the ones left: build-dashboard.mjs cv-sync-check.mjs normalize-statuses.mjs plugin-install.mjs What to do Pick ONE script from the list above. Add a USAGE string and a KNOWN_FLAGS array, and print USAGE and exit 0 when --help or -h is passed. Unknown flags should exit non-zero with the usage block, rather than being silently ignored. Document the real flags the script already accepts: read the argument handling first, do not invent options. Acceptance node <script>.mjs --help prints the usage block and exits 0. node <script>.mjs --nonsense prints the usage block and exits non-zero. No behaviour change when the script runs normally. One script per PR: that keeps review ea

📅 Opened Aug 31, 2026💬 8 comments
Quality: 90/100Contribute

Time: ~25 min · Difficulty: Beginner · No-code · Native speaker of the target language needed The interview skills live in modes/interview/ (English) and are translated per language under modes/{lang}/interview/. Five languages already have plan.md, practice.md and debrief.md translated, but are still missing the folder's README.md: the index page a reader lands on first, so right now those readers hit an English page in an otherwise translated folder. Missing in: de, id, ru, ua, zh. What to do Pick ONE language you speak natively: de, id, ru, ua or zh. Translate modes/interview/README.md into that language and save it as modes/{lang}/interview/README.md. Mirror the structure exactly: same headings, same table columns, same order. Only the prose changes. Leave file names, paths and links untouched (plan.md, ../interview-prep.md, config/profile.yml and the rest stay as they are). Acceptance Natural prose in the target language, not machine-literal. Structure matches the English or

📅 Opened Aug 31, 2026💬 0 comments
Quality: 90/100Contribute

Time: ~60-90 min · Difficulty: Beginner · Docs only, no code docs/RUNNING_ON_A_BUDGET.md section 5 ("Local LLM Tradeoffs") tells you what not to do: don't use 8B models, here's the VRAM you need, and a tip that a cheap hosted API is usually better value. All of that is true and useful. What it never gives you is the actual steps. Section 3 does exactly that for hosted setups, in a format that works: the "Kimi K2.5 via OpenCode (Verified)" recipe (line ~127) is numbered, copy-pasteable, names the config file, and is honest about what was and wasn't tested. Section 5 has no equivalent, so a reader who has the hardware and wants to go local has to figure it out alone. What to add One verified quick-start recipe for running a local model end to end, as a new subsection of section 5, mirroring the Kimi recipe's shape. Ollama through OpenCode is the natural first one, since section 3 already says OpenCode routes to local endpoints but never shows how. LM Studio would be just as welcome and

📅 Opened Aug 30, 2026💬 6 comments
Quality: 100/100Contribute

Time: ~2-4h · Difficulty: Beginner · Requires: native/fluent Portuguese (Brazil) — reserved for first-time contributors The interview modes (modes/interview/plan.md, practice.md, debrief.md) exist in several locales but not yet in Portuguese (Brazil) (modes/pt/ has the evaluation modes, not interview/). The exact pattern to mirror: PR #3212 (Ukrainian). Three things it got right that made it merge without a single change requested: Keep [inferred] and [inferred from JD] as English machine-readable tokens, with a Portuguese (Brazil) gloss alongside if helpful Register modes/pt/interview/ in the SYSTEM_PATHS list of update-system.mjs (one line, mirror the modes/ru/interview/ entry) Translate the anti-fabrication rules faithfully: the prohibition is absolute and admits no qualifier Acceptance: the three files under modes/pt/interview/, the SYSTEM_PATHS line, and node test-all.mjs green. Comment /assign below to claim this issue.

📅 Opened Aug 27, 2026💬 0 comments
Quality: 90/100Contribute
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Contributor Compatibility & Review Speed Analysis for santifer/career-ops

When evaluating whether to contribute to santifer/career-ops, 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 santifer/career-ops acknowledge new external contributions in approximately 1 days+. Out of all submitted pull requests from non-core authors in the last 180-day window, 60.4% were successfully merged into the primary branch.

Frequently Asked Questions - Contributing to santifer/career-ops

01

Is santifer/career-ops welcoming to first-time open-source contributors?

santifer/career-ops has a recorded first-timer success rate of 51.9%. Repositories ranked Solid 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 54.9 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 54.9 places santifer/career-ops in the Solid tier.

04

What is the external contributor pull request merge rate for santifer/career-ops?

The external pull request merge rate is 60.4%. 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 santifer/career-ops?

santifer/career-ops 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 santifer/career-ops 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.