OpenAgentSkill
GitHub200+

Laporan audit skill

didit-database-validation Laporan audit.

Integrate Didit Database Validation API to verify personal data against government databases. Use when the user wants to validate identity against government records, verify national ID numbers, check CPF/CURP/DNI/cedula numbers, perform identity database lookups, validate identity documents against official sources, or implement database verification for Latin American or Spanish identity documents using Didit. Supports 18 countries with 1x1 and 2x2 matching methods.

Diblokir · BlokirPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
67
Audit
60
Kepercayaan
55
Kualitas
66
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

26 star GitHub

Aktivitas star/fork

Peringatan

43

26 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 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 didit-protocol/skills --skill didit-database-validation

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/didit-protocol/skills/tree/main/skills/didit-database-validation

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 · 18 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add didit-protocol/skills --skill didit-database-validation

Repositori

88

Lulus

https://github.com/didit-protocol/skills/tree/main/skills/didit-database-validation

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

Minor inconsistency: SKILL.md uses 'date_of_birth' parameter, but the utility script uses '--dob' flag; not a functional issue but could confuse users.

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

43

Perbaiki

26 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

42

Periksa

26 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
  • Minor inconsistency: SKILL.md uses 'date_of_birth' parameter, but the utility script uses '--dob' flag; not a functional issue but could confuse users.
  • The script prints 'matched_fields' from the response, but the example response in SKILL.md does not include that field; the script may not display expected output for all API responses.
  • Low GitHub adoption signal
  • 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: 26 GitHub stars
  • Stars/forks activity: 26 stars, 4 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment 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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