Laporan audit skill

alphagbm-marks-cycle Laporan audit.

Howard Marks-style market cycle position 0-100, with 0 = panic bottom (hard offense) and 100 = euphoric top (hard defense). Blends VIX (40%) + SPY IV Rank (25%) + Put/Call ratio (20%) + valuation percentile (15%) into a single number and maps to an offense-vs-defense posture. Authenticated signal, no analysis-credit deduction, 5-min cache — the goal is to make "where are we in the cycle" a one-call lookup. Triggers: "where is the market in the cycle", "Howard Marks style cycle read", "am I supposed to be offensive or defensive", "is this a buying cycle", "cycle position right now", "Marks cycle score", "sentiment read for SPY"

Ditinjau · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
82
Audit
80
Kepercayaan
75
Kualitas
77
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

80
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

Info

64

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add AlphaGBM/skills --skill alphagbm-marks-cycle

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

60

secrets or environment access, network or browser access

Bukti repositori

Lulus

86

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

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 12 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add AlphaGBM/skills --skill alphagbm-marks-cycle

Repositori

88

Lulus

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

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

64

Periksa

credential or environment access, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

60

Periksa

secrets or environment access, network or browser access

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

  • Permission surface may require sandboxing
  • 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
  • Permission surface needs review: secrets or environment access, network or browser access
  • Permission surface: secrets or environment access, network or browser access
  • 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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya