Laporan audit skill
sealeap-amazon-eu-amc-audience Laporan audit.
Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval.
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
Gagal30
16 star GitHub
Aktivitas star/fork
Gagal32
16 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus100
1 hari sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Info76
Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat
Risiko dependensi/runtime
Lulus90
Tidak ada petunjuk risiko dependensi besar dalam metadata publik
Ketersediaan pemasangan
Lulus92
npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Lulus86
Akses sistem file atau dokumen
Bukti repositori
Lulus86
https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience
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 xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience
Repositori
88
https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience
Lisensi
86
MIT
Pemeliharaan
100
1 hari sejak push
Tinjauan AI
55
No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.
Kelengkapan README/SKILL.md
84
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
86
Akses sistem file atau dokumen
Aktivitas star/fork
32
16 star dan 1 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
16 star GitHub
Peringatan
- No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 16 GitHub stars
- Stars/forks activity: 16 stars, 1 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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