▸ This tool was built by an AI agent from Zoral
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#93 — Top 94.0%

mondary

Clement mondary

B

Solid engineer

Overall

0.0

/ 100

01 · Roasts

Commit volcano, star puddle

1,772 commits this year and 261 sampled multi-repo commits produced just 3 total stars.

CI is selective

Web_Tarot and Chrome_SimpleGMAIL automate builds; much of the rest of the portfolio ships without CI or tests.

Desktop empire

PKwindowsManagement, PKpowerlines, PKconfig, and PKMail show serious macOS ambition—now let strangers use it.

Feature buffet

VS_pkvsconf has 30+ commands while Chrome_PKsession-manager is still proudly version 0.10 scaffold.

Built using

Zoral

Shadows one worker for a week, then takes over their job with zero extra setup. Behaves exactly like the original.

zoral.ai

02 · Category breakdown

  • Impact
    25% weight
    68C
  • Consistency
    20% weight
    78B
  • Quality
    20% weight
    69C
  • Depth
    15% weight
    58D
  • Breadth
    10% weight
    80A
  • Community
    10% weight
    25F

03 · Stats

365-day commit heatmap

184 active days

Less
More

Language distribution

7 langs
  • HTML43%
  • PHP18%
  • Swift10%
  • Python10%
  • JavaScript6%
  • Shell5%
  • Other8%

04 · Numbers

Owned repos

non-fork

64

Commits

last 12 months

1,772

Followers

5

Joined GitHub

Sep 2015

05 · Top repos

mondary /

Web_Tarot

52/100

Tarot Divinatoire is a documented, deployed multi-version tarot web app with 78-card editorial content, interactive learning and spreads, plus Capacitor Android/iOS packaging.

I45Q58D50
READMECI
HTML0this week

mondary /

PKwindowsManagement

49/100

A substantial, typed Swift macOS menu-bar utility combining window snapping, global shortcuts, Launchpad, snippets, URLs, calculator logic, and Big Year calendar features, with executable tests but no CI or visible adoption.

I20Q72D55
READMETestsTyped
Swift0this week

mondary /

Chrome_SimpleGMAIL

45/100

Substantial PKMail/SimpleMail mail client spanning FastAPI/IMAP backend, vanilla HTML/JS, Chrome extension, PWA, desktop packaging, Android workflow, and a separate typed Next.js UI; adoption is not evidenced by its zero stars.

I25Q60D50
READMECI
HTML0this week

mondary /

Macos_PKpowerlines

45/100

PKpowerlines is a substantial, documented Swift macOS menu-bar utility with multi-monitor power bars, RAM/CPU/network/battery monitoring, SwiftUI settings, and a universal-app packaging script, but no tests or CI.

I25Q60D50
READMETyped
Swift011d ago

mondary /

VS_pkvsconf

44/100

A substantial, strictly typed VS Code extension combining workspace utilities, agent-session history, launchpad features, and a tmux-backed Kanban TUI, but with no observable adoption, tests, or CI.

I22Q60D50
READMETyped
TypeScript0this week

mondary /

WP_Snippets

42/100

A substantial WordPress admin-snippet collection with scheduler, media auditing, RAG export, tracking, and sync tooling; documented and actively evolved, but untyped PHP lacks tests, CI, license, and demonstrated external adoption.

I20Q55D50
README
PHP0this week

mondary /

WP_pkSocialSharing

42/100

PK SocialSharing is a substantial WordPress/PHP plugin integrating six social networks, WP-Cron, WP-CLI, REST queues, and macOS X/Medium browser runners, but it has no visible adoption, tests, CI, or license.

I20Q55D50
README
PHP0this week

mondary /

PKcards

40/100

PKcards is a substantial, documented PHP/JavaScript card-game catalog with swipe discovery, search, filters, favorites, voting, and SQLite persistence, but it has no stars, tests, CI, or typed implementation.

I25Q45D50
README
PHP0this week

mondary /

luvus-stackmon

34/100

A documented Luvus Stack Monitor module with bar, dock, and TUI views, implemented across shell scripts and a TOML manifest; useful as a focused integration but early-stage with 2 stars and no visible validation infrastructure.

I38Q43D20
README
Shell2this week

mondary /

PKWwebVideoCaster

27/100

PKWwebVideoCaster is a documented, non-trivial Python local bridge that adapts vStream to Web Video Caster, with HTTP browsing, HLS rewriting, DNS fallback, health checks, and Kodi shims, but no demonstrated adoption, tests, CI, or license.

I20Q40D20
README
Python0this week

mondary /

Macos_PKconfig

22/100

PKconfig is a small, documented macOS TUI that safely applies and restores 24 documented Finder, Dock, input, Safari, and developer preferences, but has no visible tests, CI, or adoption evidence.

I20Q40D5
README
Python0this week

mondary /

Chrome_PKsession-manager

7/100

Chrome_PKsession-manager is an unadopted scaffold with zero stars and only a one-entry changelog; no implementation, documentation, tests, CI, license, or typed-language evidence is present.

I5Q10D5
Unknown0this week

06 · Timeline

  1. Sep 25, 2015
    Joined GitHub
  2. Jan 14, 2022
    Created Chrome_SimpleGMAIL — Uncluttered GMail, with a lightweight interface
  3. Dec 6, 2024
    Created WP_Snippets
  4. Dec 29, 2025
    Created VS_pkvsconf
  5. Jan 27, 2026
    Created Macos_PKpowerlines
  6. Apr 7, 2026
    Created WP_pkSocialSharing
  7. Jun 3, 2026
    Created PKwindowsManagement
  8. Jun 27, 2026
    Created Chrome_PKsession-manager
  9. Jul 17, 2026
    Created PKcards
  10. Jul 19, 2026
    Created Web_Tarot
  11. Sep 1, 2026
    Created PKWwebVideoCaster
  12. Sep 1, 2026
    Created luvus-stackmon — Stack Monitor : RAM/CPU du stack terminal (widget barre, dock lateral, TUI) pour Luvus
  13. Sep 1, 2026
    Created Macos_PKconfig
  14. Sep 3, 2026
    Most recent push to PKwindowsManagement

07 · Compare

github.com/
mondary · 6dmedian coder

08 · Rubric

How this score was produced

Overall = Σ (category × weight) + gentle top-end curve

CategoryWeightScoreContrib.
Raw total65.6
Top-end curve+5.8
Final overall71.4

Tier thresholds

S90100Mass-producing humansA8089Ship machineB7079Solid engineerC6069Getting thereD4059README enthusiastF039GitHub tourist
▸ How the pipeline works
  1. 01Scrape.Pull every non-fork repo pushed in the last 90 days, plus your contribution calendar, followers, and language byte counts — straight from GitHub's REST & GraphQL APIs.
  2. 02Triage.A small model reads every repo's file tree + README and picks the 20 files per repo that actually reveal how you code.
  3. 03Grade each repo. All repos run in parallel through a fast scoring model that reads the picked files and rates each one independently on Impact, Quality, and Depth — with evidence citations.
  4. 04Aggregate. A larger reasoning model combines the per-repo scores with server-computed stats (heatmap, commit cadence, language entropy, follower count) to produce the 6-dimension profile score + roasts.
  5. 05Correct.Deterministic server-side checks enforce anchor-scale floors (e.g. a profile with 2,000+ public commits can't score 30 Consistency) and recompute the final verdict.

~90 seconds per profile, ~$0.25 in compute. Total of ~240 files read across your top-12 repos. One rating per GitHub account per day.

▸ Data sources & caveats
  • Heatmap & commit totals: GitHub GraphQL contributionsCollection — covers the last 365 days, includes private repos when the user has opted in (default).
  • Language %: byte totals across the top 30 owned non-fork repos.
  • Curve: a small upward nudge centered on raw score ≈ 70, capping at 100. Prevents specialists from being unfairly penalised for narrow breadth.
  • Anchor corrections: when server-measured signals (e.g. privateWorkLikely, multiRepoVolume, follower count) mandate a minimum category score, the aggregation step enforces it. These are signal-conditional, not identity-based floors.
mondary · 71.4/100 — Rate My GitHub