Laporan audit skill

langgraph-implementation Laporan audit.

Implements stateful agent graphs using LangGraph. Use when building graphs, adding nodes/edges, defining state schemas, implementing checkpointing, handling interrupts, or creating multi-agent systems with LangGraph.

Diblokir · BlokirPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
70
Audit
60
Kepercayaan
62
Kualitas
72
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

60
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

80 star GitHub

Aktivitas star/fork

Peringatan

43

80 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Info

76

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

Risiko dependensi/runtime

Peringatan

46

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add existential-birds/beagle --skill langgraph-implementation

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

38

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/existential-birds/beagle/tree/main/plugins/beagle-ai/skills/langgraph-implementation

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 · 15 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add existential-birds/beagle --skill langgraph-implementation

Repositori

88

Lulus

https://github.com/existential-birds/beagle/tree/main/plugins/beagle-ai/skills/langgraph-implementation

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

The skill does not include explicit security guidance for LangGraph applications, such as protecting against prompt injection when LLM-controlled router nodes decide destinations or tool calls.

Kelengkapan README/SKILL.md

84

Lulus

Usable description available

Risiko dependensi

46

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

38

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

43

Perbaiki

80 star dan 8 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

80 star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill does not include explicit security guidance for LangGraph applications, such as protecting against prompt injection when LLM-controlled router nodes decide destinations or tool calls.
  • Frontmatter metadata is minimal; adding tags and framework version guidance would improve discoverability and interoperability.
  • Some examples reference undefined components like `llm`, `research_agent`, and `coding_agent`, which may require additional setup context for new users.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 80 GitHub stars
  • Stars/forks activity: 80 stars, 8 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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya