Laporan audit skill
emails Laporan audit.
When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. For cold outreach emails, see cold-email. For in-app onboarding, see onboarding.
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
Lulus100
47K star GitHub
Aktivitas star/fork
Lulus100
47K star dan 7.3K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add coreyhaines31/marketingskills --skill emails
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Bukti repositori
Lulus86
https://github.com/coreyhaines31/marketingskills/tree/main/skills/emails
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add coreyhaines31/marketingskills --skill emails
Repositori
88
https://github.com/coreyhaines31/marketingskills/tree/main/skills/emails
Lisensi
86
MIT
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
No explicit security boundaries or instructions about handling sensitive data, but the skill only generates text and reads local context files, so risk is low.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
100
Tidak ada cakupan izin berisiko tinggi dalam metadata publik
Aktivitas star/fork
100
47K star dan 7.3K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
47K star GitHub
Peringatan
- No explicit security boundaries or instructions about handling sensitive data, but the skill only generates text and reads local context files, so risk is low.
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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