Laporan audit skill

estimate-llm-cost Laporan audit.

Use this to estimate what an LLM call or feature will cost, and to compare models on price, before or after shipping. Trigger on "how much will this cost", "estimate my OpenAI/Anthropic bill", "is a cheaper model worth it", "cost of this prompt", "project my LLM spend". Ships a runnable, tested calculator so the numbers are real, not hand-waved.

Eksperimental · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
73
Audit
71
Kepercayaan
59
Kualitas
77
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

71
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

33 star GitHub

Aktivitas star/fork

Peringatan

48

33 star dan 18 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

CC0-1.0

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Info

72

Akses kredensial atau variabel lingkungan

Ketersediaan pemasangan

Lulus

92

npx skills add ContextJet-ai/awesome-llm-observability --skill estimate-llm-cost

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Info

74

secrets or environment access

Bukti repositori

Lulus

86

https://github.com/ContextJet-ai/awesome-llm-observability/tree/main/skills/estimate-llm-cost

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 · 10 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add ContextJet-ai/awesome-llm-observability --skill estimate-llm-cost

Repositori

88

Lulus

https://github.com/ContextJet-ai/awesome-llm-observability/tree/main/skills/estimate-llm-cost

Lisensi

86

Lulus

CC0-1.0

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The built-in price table is only approximate and can become stale; this is disclosed, but output should always be verified against current provider pricing for billing decisions.

Kelengkapan README/SKILL.md

86

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

74

Periksa

secrets or environment access

Aktivitas star/fork

48

Perbaiki

33 star dan 18 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

33 star GitHub

Peringatan

  • The built-in price table is only approximate and can become stale; this is disclosed, but output should always be verified against current provider pricing for billing decisions.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 33 GitHub stars
  • Stars/forks activity: 33 stars, 18 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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