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zhaoxuya520/reverse-skill

Breakoutrank #42

Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端

38.2k+4.7k · 7d 5.3k 259est. MITPowerShellpushed 5d ago
Compare View on GitHub

Composite

75

conf 65%

Momentum

76

conf 60%

Vitality (PVI)

72

conf 67%

Community

68

conf 60%

Security & maint.

89

conf 85%

Ecosystem influence

70

conf 60%

Opportunity

61

conf 60%

Breakout · 7d

72%

conf 71%

Executive summary

reverse-skill is currently classified as breakout with a composite score of 75/100. Momentum (76) and vitality (72) diverge — attention is running ahead of maintenance depth. Estimated 7-day gain of 4,685 stars against a 38.2k-star base. Risk is assessed as low; the interpretable model puts its probability of entering the top trend cohort within 7 days at 72%.

Video breakdown

@gptaiclips on YouTube
I Gave Claude an Entire Reverse-Engineering Playbook #shortsI Gave Claude an Entire Reverse-Engineering Playbook #shorts2mo ago

90-day trajectory

+19.4k · 30d
2026-06-302026-09-27

Score breakdown

Every input, weight and normalized value — nothing hidden. Inputs marked est. are estimated until the full ingestion pipeline lands.

Momentum

Star velocityest.25%100
Star accelerationest.15%52
Fork velocityest.10%100
Contributor growthest.10%72
Issue activity growthest.10%38
PR activity growthest.10%58
External mention velocityest.10%100
Release event impactest.5%68
Trending-rank persistenceest.5%59

Model tn-interpretable-1.0.0 · confidence 60% · coverage 100%

Project Vitality Index

Commit consistency20%83
Release cadenceest.15%92
PR responsivenessest.15%40
Issue responsivenessest.15%68
Contributor diversityest.10%89
Maintainer continuityest.10%65
Documentation qualityest.5%59
Dependency freshnessest.5%73
Security hygieneest.5%74

Model tn-interpretable-1.0.0 · confidence 67% · coverage 100%

Security & maintenance

Release recency25%87
License clarity20%92
Maintenance status25%83
Dependency stalenessest.15%85
Bus factorest.15%100

Model tn-interpretable-1.0.0 · confidence 85% · coverage 100%

Ecosystem influence

Dependent repositoriesest.30%91
Quality-weighted dependentsest.20%71
Documentation citationsest.15%71
Contributor overlapest.15%61
Registry adoptionest.10%67
Topic centralityest.10%22

Model tn-interpretable-1.0.0 · confidence 60% · coverage 92% · missing: packageRegistryAdoption