Laporan audit skill

growth-experimentation Laporan audit.

Build a growth experimentation system — ICE scoring, growth sprints, experiment design, statistical significance, and learning repositories. Use when building an experimentation program, running growth sprints, prioritizing tests, or establishing a data-driven growth culture. Triggers on: "experimentation", "growth experiments", "A/B testing program", "ICE scoring", "growth sprint", "experiment design", "test velocity", or any growth experimentation request.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
73
Audit
70
Kepercayaan
60
Kualitas
76
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

70
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

49 star GitHub

Aktivitas star/fork

Peringatan

48

49 star dan 14 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan 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

72

Cakupan eksekusi perintah

Ketersediaan pemasangan

Lulus

92

npx skills add LeadMagic/gtm-skills --skill growth-experimentation

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

62

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/LeadMagic/gtm-skills/tree/main/skills/analytics/growth-experimentation

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 13 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add LeadMagic/gtm-skills --skill growth-experimentation

Repositori

88

Lulus

https://github.com/LeadMagic/gtm-skills/tree/main/skills/analytics/growth-experimentation

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The included check-output.py validator requires sections that do not match the included output-template.md (e.g. '## Recommendation', '## Implementation Steps', '## Metrics' vs '## Core output', '## Frameworks Applied', '## Next steps'). This makes the local quality check fail on the skill's own template.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

72

Periksa

Cakupan eksekusi perintah

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

62

Periksa

shell or command execution, filesystem or document access

Aktivitas star/fork

48

Perbaiki

49 star dan 14 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

49 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
  • The included check-output.py validator requires sections that do not match the included output-template.md (e.g. '## Recommendation', '## Implementation Steps', '## Metrics' vs '## Core output', '## Frameworks Applied', '## Next steps'). This makes the local quality check fail on the skill's own template.
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • GitHub adoption: 49 GitHub stars
  • Stars/forks activity: 49 stars, 14 forks; issue activity unavailable in current metadata

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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