Laporan audit skill

Tokencost Laporan audit.

Easy token price estimates for 400+ LLMs. TokenOps.

Eksperimental · TinjauPerlu ditinjauDihasilkan 23 Agu 2026Audit metadata heuristik
81
Audit
81
Kepercayaan
86
Kualitas
83
Keamanan
62
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

86

2.0K star GitHub

Aktivitas star/fork

Info

77

2.0K star dan 105 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Info

62

12 bulan sejak push

Kejelasan lisensi

Lulus

86

MIT

Kelengkapan README/SKILL.md

Info

74

Metadata publik memerlukan konteks README/SKILL.md yang lebih kuat

Risiko dependensi/runtime

Info

72

Akses kredensial atau variabel lingkungan

Ketersediaan pemasangan

Lulus

92

npx skills add AgentOps-AI/tokencost

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

60

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/AgentOps-AI/tokencost

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 11 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add AgentOps-AI/tokencost

Repositori

88

Lulus

https://github.com/AgentOps-AI/tokencost

Lisensi

86

Lulus

MIT

Pemeliharaan

62

Periksa

12 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

84

Lulus

Usable description available

Risiko dependensi

72

Periksa

Akses kredensial atau variabel lingkungan

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

60

Periksa

secrets or environment access, filesystem or document access

Aktivitas star/fork

77

Periksa

2.0K star dan 105 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

2.0K 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

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • 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, filesystem or document access
  • Permission surface: secrets or environment access, filesystem or document 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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