Laporan audit skill

attribution Laporan audit.

When the user wants to figure out which marketing actually drives conversions and revenue, choose or interpret an attribution model, or reconcile conflicting numbers across tools. Also use when the user mentions "attribution," "attribution model," "first-touch vs last-touch," "multi-touch," "which channel drives revenue," "what's my real CAC," "my dashboards disagree," "Google/Meta says X but GA says Y," "media mix model," "MMM," "incrementality," "geo lift," "holdout test," "how did you hear about us," "self-reported attribution," "dark social," or wants to instrument attribution themselves — "stitch my bookings to their source," "SavvyCal/Calendly attribution," "close the identify gap," "track conversions on a third-party domain," "first-party / self-hosted attribution." For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo.

Ditinjau · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
86
Audit
81
Kepercayaan
91
Kualitas
84
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

81
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

100

47K star GitHub

Aktivitas star/fork

Lulus

100

47K star dan 7.3K 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

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add coreyhaines31/marketingskills --skill attribution

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Lulus

100

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Bukti repositori

Lulus

86

https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

10 Lulus · 6 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add coreyhaines31/marketingskills --skill attribution

Repositori

88

Lulus

https://github.com/coreyhaines31/marketingskills/tree/main/skills/attribution

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

No security concerns identified; skill is purely informational and does not execute code or access sensitive data.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

100

Lulus

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Aktivitas star/fork

100

Lulus

47K star dan 7.3K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

47K 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
  • No security concerns identified; skill is purely informational and does not execute code or access sensitive data.
  • SKILL.md excerpt is truncated in the review, but the provided content is well-structured and complete enough to assess.
  • Financial research output is not financial advice; require human review before any live investment decision.

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

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