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z-h-u-g-e GitHub avatar

#1081 · Top 1.3%

z-h-u-g-e

亮

一个初中牲

F

GitHub tourist

red alert

Overall

0.0

/ 100

Roasts

Category breakdown

z-h-u-g-e category score radarImpactConsistencyQualityDepthBreadthCommunity

Impact

25% weight

28F

A Python API-using project suggests a practical integration-oriented premise, but the supplied metadata does not establish scope, originality, or broader usefulness.

Consistency

15% weight

22F

The portfolio contains one repository with a single recorded push date, so there is limited evidence of sustained activity or maintenance.

Quality

25% weight

30F

The repository is non-forked and not archived, which are modest maturity signals; no source, tests, CI, documentation, or architecture evidence is available.

Depth

20% weight

23F

There is one owned, active-looking repository, but the available metadata does not show sustained ownership, meaningful scope, or maintenance depth.

Breadth

10% weight

20F

Only one Python repository is listed, providing little evidence of language or project-type variety.

Community

5% weight

50D

Community evidence is unavailable apart from one follower and zero listed stars; this is treated as neutral rather than as a penalty.

Stats

52-week commit heatmap

3 active days

Language distribution

  • Python100%

Based on the bounded repository sample saved with this analysis.

Numbers

Owned repos

Non-fork sample

1

Commits

Last 12 months

5

Followers

Accepted fact

1

Joined GitHub

Profile date

Apr 2026

Top repos

Scores marked Profile rating use bounded public repository metadata. Full repo analysis appears only when a separate accepted repository analysis exists.

Timeline

  1. Created z-h-u-g-e/python-api-using - 一个用python调用siliconflow上大模型api的程序,类似大模型客户端
  2. Joined GitHub
  3. Most recent push to z-h-u-g-e/python-api-using

Compare

Z-H-U-G-E · 6DMEDIAN CODER

Z-H-U-G-E compared with MEDIAN CODER across six rating categoriesImpactConsistencyQualityDepthBreadthCommunity

Rubric

How this score was produced

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

CategoryWeightScoreContribution
Impact25%287.00
Quality25%307.50
Depth20%234.60
Consistency15%223.30
Breadth10%202.00
Community5%502.50
Impact · 28/100

What it measures. Project usefulness, ambition, originality, and coherence. Popularity is not impact.

Evidence for z-h-u-g-e. A Python API-using project suggests a practical integration-oriented premise, but the supplied metadata does not establish scope, originality, or broader usefulness.

Quality · 30/100

What it measures. Engineering and project-maturity signals supported by the available public metadata.

Evidence for z-h-u-g-e. The repository is non-forked and not archived, which are modest maturity signals; no source, tests, CI, documentation, or architecture evidence is available.

Depth · 23/100

What it measures. Sustained ownership, meaningful scope, and continued maintenance rather than one-shots.

Evidence for z-h-u-g-e. There is one owned, active-looking repository, but the available metadata does not show sustained ownership, meaningful scope, or maintenance depth.

Consistency · 22/100

What it measures. Recency and contribution patterns across the supplied activity window.

Evidence for z-h-u-g-e. The portfolio contains one repository with a single recorded push date, so there is limited evidence of sustained activity or maintenance.

Breadth · 20/100

What it measures. Language entropy and project-type diversity across owned repos.

Evidence for z-h-u-g-e. Only one Python repository is listed, providing little evidence of language or project-type variety.

Community · 50/100

What it measures. A weak positive tie-breaker for supplied community signals, never a popularity penalty.

Evidence for z-h-u-g-e. Community evidence is unavailable apart from one follower and zero listed stars; this is treated as neutral rather than as a penalty.

Raw total
26.90
Top-end curve
+0.00
Final overall
26.9

Tier thresholds

S 90-100 Mass-producing humansA 80-89 Ship machineB 70-79 Solid engineerC 60-69 Getting thereD 40-59 README enthusiastF 0-39 GitHub tourist

I. How this saved profile rating was produced

  1. 01

    Validate. The server validates the login, signed browser session, attempts, cooldown, daily ceiling, and the single provider permit.

  2. 02

    Collect. The VPS collector reads bounded public profile metadata and up to 12 recent repository metadata rows in volatile memory.

  3. 03

    Rate. One pinned provider returned a closed profile-rating object with no tools, browsing, shell, or repository-content access.

  4. 04

    Verify. Server checks bound the subject, rejected unsafe or echoed text, validated the schema, and recomputed rubric-v3 final arithmetic.

  5. 05

    Save. Only a valid completion and allowlisted post-completion facts commit atomically; the public projection is then rebuilt.

This saved profile analysis is metadata-only and did not read repository trees, README files, or source code. Availability of new analysis is separate from this historical result.

Rated 2026-08-11 · rating-rubric/3

II. Data sources & caveats
  • Scores summarize one accepted, subject-bound analysis; they are not a security audit or endorsement.
  • Rank, percentile, and median use 1095 currently accepted public profiles and can change as the leaderboard changes.
  • Repository and language details reflect the bounded analyzed sample, not necessarily every repository.
  • Missing data is shown as unavailable or not evaluated instead of being inferred as zero.
  • Analysis completed Aug 11, 2026, 12:05 AM UTC and is marked aging.