okhttp
The vintage guest appearance
Forking okhttp is like bringing a famous networking veteran to your portfolio: impressive company, though the metadata suggests you mostly handed it a visitor badge.
#1077 · Top 1.6%
subho007
Subho Halder
Hacker, Programmer, Entrepreneur, Pentester and Exploiter. Loves to exploit Android and iOS. Creator of #AFE. Founder of @appknox
F
GitHub tourist
red alert
Overall
0.0/ 100
Roasts
Repository binding unavailable
Security, now with more AI
AI cybersecurity is an ambitious intersection, but as a forked collection it currently feels like a conference track waiting for its keynote implementation.
Historical result · no repository binding was retained
Repository binding unavailable
The sequel nobody numbered
The numbered AI-security repository has the energy of a franchise expanding before the first installment has finished explaining the plot.
Historical result · no repository binding was retained
Repository binding unavailable
Leaderboard of leaderboards
An LLM leaderboard collection is perfectly on theme: even the project is keeping score of projects that keep score.
Historical result · no repository binding was retained
Repository binding unavailable
Evaluation with extra seasoning
The unusually named LLM evaluation collection gives the portfolio a memorable flourish—proof that even benchmarking can arrive with a typo-shaped signature.
Historical result · no repository binding was retained
Category breakdown
Impact
25% weight
The repository themes point toward security, AI, code analysis, and benchmarking, but the metadata primarily identifies forks rather than clearly owned, distinctive projects.
Consistency
15% weight
The supplied repositories show limited visible activity: one older Java fork and a cluster of recent forks, with no contribution totals available.
Quality
25% weight
Language metadata and repository status provide little evidence about engineering maturity; the visible fork-heavy portfolio does not support a higher score.
Depth
20% weight
The metadata shows little evidence of sustained ownership or maintenance of original work; the only Java project listed is a fork with an older push date.
Breadth
10% weight
The names span networking, security, AI, code analysis, leaderboards, and benchmarking, though most entries are unknown-language forks.
Community
5% weight
Community evidence is limited to profile followers and minimal repository stars; popularity is treated only as a neutral-to-weak positive signal.
Stats
52-week commit heatmap
102 active daysLanguage distribution
2 langs
- Unknown92%
- Java8%
Based on the bounded repository sample saved with this analysis.
Numbers
Owned repos
Non-fork sample
0
Commits
Last 12 months
97
Followers
Accepted fact
214
Joined GitHub
Profile date
May 2009
Top repos
Scores marked Profile rating use bounded public repository metadata. Full repo analysis appears only when a separate accepted repository analysis exists.
subho007 /
okhttp
31/100
A Java fork of okhttp, showing association with a substantial networking project but limited evidence of original ownership in the supplied metadata.
ForkActiveProfile ratingJava
★ 0 · 12y agoOpen on GitHub ↗
subho007 /
awesome-ai-cybersecurity
28/100
A forked collection focused on AI cybersecurity resources, suggesting topical interest but not clearly demonstrating original implementation work.
ForkActiveProfile ratingUnknown
★ 1 · 4mo agoOpen on GitHub ↗
subho007 /
static-analysis
28/100
A forked static-analysis resource project, aligned with a technically meaningful topic but not enough metadata to establish depth of ownership.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-foundation-model-leaderboards
27/100
A forked foundation-model leaderboard collection with a clear evaluation theme but limited evidence of independent contribution.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-llm-benchmark
27/100
A forked LLM benchmark collection, relevant to model evaluation yet not demonstrably an original benchmark implementation from the supplied fields.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-llm-leaderboards
27/100
A forked collection of LLM leaderboards, pointing to evaluation interests without visible evidence of a maintained original system.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-gpt-security
26/100
A forked collection about GPT security, reflecting a focused security theme while offering little evidence of independent implementation.
ForkActiveProfile ratingUnknown
★ 0 · 3mo agoOpen on GitHub ↗
subho007 /
awesome-ai-security
26/100
Another forked AI-security collection, reinforcing the portfolio theme but not establishing distinct authored scope from metadata alone.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-code-llm
26/100
A forked collection centered on code-focused language models, indicating current-topic exploration without visible original engineering scope.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-security
26/100
A forked security resource collection; the metadata supports curation interest, with no evidence here of distinctive authored content.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awaresome_llm_eval_benchmark
25/100
A forked LLM evaluation collection with an unusually spelled name, suggesting exploratory curation but little visible evidence of ownership.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
subho007 /
awesome-ai-security-1
25/100
A forked AI-security collection with a numbered name, suggesting experimentation or duplication rather than a clearly differentiated project.
ForkActiveProfile ratingUnknown
★ 0 · 4mo agoOpen on GitHub ↗
Timeline
- Joined GitHub
- Created subho007/okhttp - An HTTP+SPDY client for Android and Java applications.
- Created subho007/awaresome_llm_eval_benchmark - 250 LLM Benchmarks & Evaluation Datasets
- Created subho007/awesome-ai-cybersecurity - Welcome to the ultimate list of resources for AI in cybersecurity. This repository aims to provide an organized collection of high-quality resources to help professionals, researchers, and enthusi
- Created subho007/awesome-ai-security - A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.
- Created subho007/awesome-ai-security-1 - Curated resources, research, and tools for securing AI systems
- Created subho007/awesome-code-llm - [TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.
- Created subho007/awesome-foundation-model-leaderboards - A curated list of awesome leaderboard-oriented resources for AI domain
- Created subho007/awesome-gpt-security - A curated list of awesome security tools, experimental case or other interesting things with LLM or GPT.
- Created subho007/awesome-llm-benchmark - Awesome-LLM-Benchmark: List of benchmarks for Large-Language Models
- Created subho007/awesome-llm-leaderboards - A collection of LLM leaderboards across different disciplines
- Created subho007/awesome-security - A collection of awesome software, libraries, documents, books, resources and cools stuffs about security.
- Created subho007/static-analysis - ⚙️ A curated list of static analysis (SAST) tools and linters for all programming languages, config files, build tools, and more. The focus is on tools which improve code quality.
- Most recent push to subho007/awesome-gpt-security
Compare
SUBHO007 · 6DMEDIAN CODER
Rubric
How this score was produced
Overall = Σ(category × weight) + deterministic top-end curve
| Category | Weight | Score | Contribution |
|---|---|---|---|
| Impact | 25% | 29 | 7.25 |
| Quality | 25% | 27 | 6.75 |
| Depth | 20% | 24 | 4.80 |
| Consistency | 15% | 28 | 4.20 |
| Breadth | 10% | 31 | 3.10 |
| Community | 5% | 50 | 2.50 |
Impact · 29/100
What it measures. Project usefulness, ambition, originality, and coherence. Popularity is not impact.
Evidence for subho007. The repository themes point toward security, AI, code analysis, and benchmarking, but the metadata primarily identifies forks rather than clearly owned, distinctive projects.
Quality · 27/100
What it measures. Engineering and project-maturity signals supported by the available public metadata.
Evidence for subho007. Language metadata and repository status provide little evidence about engineering maturity; the visible fork-heavy portfolio does not support a higher score.
Depth · 24/100
What it measures. Sustained ownership, meaningful scope, and continued maintenance rather than one-shots.
Evidence for subho007. The metadata shows little evidence of sustained ownership or maintenance of original work; the only Java project listed is a fork with an older push date.
Consistency · 28/100
What it measures. Recency and contribution patterns across the supplied activity window.
Evidence for subho007. The supplied repositories show limited visible activity: one older Java fork and a cluster of recent forks, with no contribution totals available.
Breadth · 31/100
What it measures. Language entropy and project-type diversity across owned repos.
Evidence for subho007. The names span networking, security, AI, code analysis, leaderboards, and benchmarking, though most entries are unknown-language forks.
Community · 50/100
What it measures. A weak positive tie-breaker for supplied community signals, never a popularity penalty.
Evidence for subho007. Community evidence is limited to profile followers and minimal repository stars; popularity is treated only as a neutral-to-weak positive signal.
- Raw total
- 28.60
- Top-end curve
- +0.00
- Final overall
- 28.6
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
- 01
Validate. The server validates the login, signed browser session, attempts, cooldown, daily ceiling, and the single provider permit.
- 02
Collect. The VPS collector reads bounded public profile metadata and up to 12 recent repository metadata rows in volatile memory.
- 03
Rate. One pinned provider returned a closed profile-rating object with no tools, browsing, shell, or repository-content access.
- 04
Verify. Server checks bound the subject, rejected unsafe or echoed text, validated the schema, and recomputed rubric-v3 final arithmetic.
- 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 2026-08-10 · 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 10, 2026, 1:45 AM UTC and is marked aging.