Laporan audit skill

local-ai-app-integration Laporan audit.

Integrates local AI capabilities into applications using Embeddable Lemonade. Use when the user wants to add local AI, offline AI, private AI, on-device AI, a local LLM, local chat, embeddings, image generation, speech-to-text, or text-to-speech to an existing app; replace or supplement OpenAI, Anthropic, Ollama, or other cloud AI APIs with a local backend; only use to convert user apps. Do not use when the user just wants the agent itself to generate images, transcribe, or speak locally in the current workspace, even to cut their own API bill.

Diblokir · BlokirPerlu ditinjauDihasilkan 11 Okt 2026Audit metadata heuristik
73
Audit
64
Kepercayaan
69
Kualitas
69
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 30 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

Gagal

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add amd/skills --skill local-ai-app-integration

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/amd/skills/tree/main/skills/local-ai-app-integration

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 · 16 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add amd/skills --skill local-ai-app-integration

Repositori

88

Lulus

https://github.com/amd/skills/tree/main/skills/local-ai-app-integration

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

SKILL.md lacks explicit security guidance for handling API keys, verifying downloaded binaries/models, and avoiding insecure subprocess spawning.

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

57

Perbaiki

332 star dan 30 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

332 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
  • SKILL.md lacks explicit security guidance for handling API keys, verifying downloaded binaries/models, and avoiding insecure subprocess spawning.
  • The skill mentions 'log every stage' but does not specify that secrets must never be logged; evals include 'secrets' in expected logs, which is ambiguous and could be misinterpreted.
  • 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
  • Stars/forks activity: 332 stars, 30 forks; issue activity unavailable in current metadata
  • 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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