Laporan audit skill

varg-ai Laporan audit.

Generate AI videos, images, speech, and music using varg. Use when creating videos, animations, talking characters, slideshows, product showcases, social content, or single-asset generation. Supports zero-install cloud rendering (just API key + curl) and full local rendering (bun + ffmpeg). Triggers: "create a video", "generate video", "make a slideshow", "talking head", "product video", "generate image", "text to speech", "varg", "vargai", "render video", "lip sync", "captions".

Diblokir · BlokirPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
67
Audit
58
Kepercayaan
57
Kualitas
68
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

58
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Gagal

30

21 star GitHub

Aktivitas star/fork

Gagal

32

21 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 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

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add vargHQ/skills --skill varg-ai

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/vargHQ/skills/tree/main/varg-ai

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 · 18 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add vargHQ/skills --skill varg-ai

Repositori

88

Lulus

https://github.com/vargHQ/skills/tree/main/varg-ai

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

The self-update mechanism (`npx -y skills update`) fetches and executes code from a remote source, which could be a supply chain risk if the repository is compromised. However, this is a common pattern and not a critical flaw.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

36

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

32

Perbaiki

21 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

21 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

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • The self-update mechanism (`npx -y skills update`) fetches and executes code from a remote source, which could be a supply chain risk if the repository is compromised. However, this is a common pattern and not a critical flaw.
  • The skill instructs writing credentials to `~/.varg/credentials` and appending to `.env`, which is standard but should be done with caution (file permissions are set correctly).
  • Low GitHub adoption signal
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 21 GitHub stars
  • Stars/forks activity: 21 stars, 2 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access

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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