Laporan audit skill
alphagbm-chokepoint Laporan audit.
Serenity-style "Chokepoint Theory" applied to AI supply chains. Identifies physically irreplaceable bottleneck suppliers — small-cap near-monopolies buried 4–7 layers deep — whose capacity constraints force violent repricing when demand outgrows supply. Uses a 5-factor scoring model (Concentration, Irreplaceability, Qualification Gate, Discovery Gap, Demand Tension) to screen and rank candidates. This is AlphaGBM's independent reading of Serenity (@aleabitoreddit)'s publicly shared methodology — NOT affiliated with or endorsed by Serenity. Triggers: "chokepoint analysis", "AI supply chain bottleneck", "find the shiso leaf", "Serenity-style screen", "which small-caps own the bottleneck", "InP substrate play", "co-packaged optics chokepoint", "irreplaceable supplier in AI buildout", "supply chain concentration risk"
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Lulus86
2.4K star GitHub
Aktivitas star/fork
Lulus83
2.4K star dan 284 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
29 hari sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus82
database surface
Ketersediaan pemasangan
Lulus92
npx skills add AlphaGBM/skills --skill alphagbm-chokepoint
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus88
Akses database
Bukti repositori
Lulus86
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint
Status peninjauan
Peringatan46
Persetujuan tinjauan AI belum ada
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add AlphaGBM/skills --skill alphagbm-chokepoint
Repositori
88
https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint
Lisensi
86
MIT
Pemeliharaan
100
29 hari sejak push
Tinjauan AI
55
Review approval is missing
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
82
database surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
88
Akses database
Aktivitas star/fork
83
2.4K star dan 284 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
2.4K star GitHub
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
Peringatan
- Financial research output is not financial advice; require human review before any live investment decision
- Persetujuan tinjauan AI belum ada
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Review status: AI review approval is missing
Metode
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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