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"

Ditinjau · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
84
Audit
83
Kepercayaan
75
Kualitas
82
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

83
Shortlist kuat

Trust Score OpenAgentSkill

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

Adopsi GitHub

Lulus

86

2.4K star GitHub

Aktivitas star/fork

Lulus

83

2.4K star dan 284 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

29 hari sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Lulus

82

database surface

Ketersediaan pemasangan

Lulus

92

npx skills add AlphaGBM/skills --skill alphagbm-chokepoint

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Lulus

88

Akses database

Bukti repositori

Lulus

86

https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

10 Lulus · 7 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add AlphaGBM/skills --skill alphagbm-chokepoint

Repositori

88

Lulus

https://github.com/AlphaGBM/skills/tree/main/skills/alphagbm-chokepoint

Lisensi

86

Lulus

MIT

Pemeliharaan

100

Lulus

29 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

82

Lulus

database surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

88

Lulus

Akses database

Aktivitas star/fork

83

Lulus

2.4K star dan 284 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

2.4K star GitHub

Financial decision safety

58

Periksa

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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