OpenAgentSkill
GitHub200+

Laporan audit skill

backend-engineer Laporan audit.

Supabase integration specialist. Handles database schema, authentication, Row Level Security (RLS), real-time subscriptions, and storage. Connects existing UI to real backend. Only called AFTER UI exists with mock data. Triggers: connect database, connect Supabase, add auth, make login, backend integration, real data, authentication, database schema.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
70
Audit
60
Kepercayaan
64
Kualitas
68
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

95 star GitHub

Aktivitas star/fork

Peringatan

48

95 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

Gagal

28

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add wasintoh/toh-framework --skill backend-engineer

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

18

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/wasintoh/toh-framework/tree/main/src/skills/backend-engineer

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 · 17 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add wasintoh/toh-framework --skill backend-engineer

Repositori

88

Lulus

https://github.com/wasintoh/toh-framework/tree/main/src/skills/backend-engineer

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The documentation excerpt shows an incomplete closing tag `</rls_pattern` which may be a typo in the excerpt; the actual file likely has `</rls_patterns>`. Verify the SKILL.md is well-formed.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

28

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

18

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

48

Perbaiki

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

Adopsi

68

Info

95 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
  • The documentation excerpt shows an incomplete closing tag `</rls_pattern` which may be a typo in the excerpt; the actual file likely has `</rls_patterns>`. Verify the SKILL.md is well-formed.
  • The description mentions real-time subscriptions and storage, but the SKILL.md does not provide any guidance or patterns for these features. This is a gap between the stated scope and the actual content.
  • 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
  • GitHub adoption: 95 GitHub stars
  • Stars/forks activity: 95 stars, 19 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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