Laporan audit skill

agentsop-framework-selection Laporan audit.

Neutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph, LlamaIndex, DSPy, CrewAI, vLLM, Aider, Dify) into one layered rubric. Core stance: frameworks are LAYERS, not competitors — a real project usually combines DSPy (compile) + LlamaIndex (retrieve) + LangGraph (orchestrate) + vLLM (serve), and you choose ONE per layer, not one to rule all. Use when starting any LLM/agent/RAG project, or whenever the "which framework?" question is asked. Deliberately neutral — unlike vendor docs and the LangChain-biased `framework-selection` on skill.sh, this skill has no horse in the race.

Diblokir · BlokirBerisikoDihasilkan 12 Okt 2026Audit metadata heuristik
77
Audit
74
Kepercayaan
69
Kualitas
79
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

74
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

357 star GitHub

Aktivitas star/fork

Peringatan

57

357 star dan 19 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

Peringatan

54

credential or environment access, external package install surface

Ketersediaan pemasangan

Lulus

92

npx skills add agentsope/SkillAlchemy --skill agentsop-framework-selection

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

46

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-framework-selection

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 · 12 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add agentsope/SkillAlchemy --skill agentsop-framework-selection

Repositori

88

Lulus

https://github.com/agentsope/SkillAlchemy/tree/master/skills/agentsop-framework-selection

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

54

Perbaiki

credential or environment access, external package install surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

46

Perbaiki

secrets or environment access, filesystem or document access

Aktivitas star/fork

57

Perbaiki

357 star dan 19 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

357 star GitHub

Peringatan

  • 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
  • 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, filesystem or document access
  • Stars/forks activity: 357 stars, 19 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: credential or environment access, external package install surface
  • 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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