Laporan audit skill

evidence-driven-testing Laporan audit.

Records visual proof while testing UI behavior — the agent tests the app hands-on via computer use while a screen recording with structured test/assertion annotations captures the session — then posts the video and a results summary to the PR and tracker issue. Use whenever a change needs verifiable evidence that it works, instead of prose claims — including headless environments (scripted screenshots and probes) and non-UI changes (measured numbers, output pairs).

Diblokir · BlokirBerisikoDihasilkan 13 Okt 2026Audit metadata heuristik
70
Audit
64
Kepercayaan
64
Kualitas
64
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

64
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

332 star GitHub

Aktivitas star/fork

Peringatan

57

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

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Peringatan

42

Tidak diketahui

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

46

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add michaelshimeles/skills --skill evidence-driven-testing

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/michaelshimeles/skills/tree/main/evidence-driven-testing

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

5 Lulus · 17 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add michaelshimeles/skills --skill evidence-driven-testing

Repositori

88

Lulus

https://github.com/michaelshimeles/skills/tree/main/evidence-driven-testing

Lisensi

45

Periksa

Tidak diketahui

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

Repository license is unknown; the skill itself does not specify a license, which may create legal ambiguity for reuse.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

57

Perbaiki

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

Adopsi

68

Info

332 star GitHub

Peringatan

  • Lisensi tidak jelas
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
  • Repository license is unknown; the skill itself does not specify a license, which may create legal ambiguity for reuse.
  • This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 332 stars, 47 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

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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