Laporan audit skill

agentic-productivity-setup Laporan audit.

Build or rebuild a private, local-first macOS system that measures daily Git commits, active AI-agent sessions, and instruction prompts, then sends aggregate charts to Discord. Use when someone asks to set up an agentic productivity tracker, install daily agent reports, recreate this architecture on a Mac, or understand how to build it safely. Differentiator: creates a fresh system from generic contracts and never copies another person''s data, paths, credentials, repositories, prompts, or private configuration.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
77
Audit
68
Kepercayaan
80
Kualitas
70
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

68
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Lulus

86

3.8K star GitHub

Aktivitas star/fork

Lulus

83

3.8K star dan 556 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

38

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add davidondrej/skills --skill agentic-productivity-setup

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/davidondrej/skills/tree/main/skills/ops-and-setup/agentic-productivity-setup

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 14 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add davidondrej/skills --skill agentic-productivity-setup

Repositori

88

Lulus

https://github.com/davidondrej/skills/tree/main/skills/ops-and-setup/agentic-productivity-setup

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The skill is macOS-specific, which may limit its applicability, but it explicitly asks before adapting to other platforms.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

38

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

83

Lulus

3.8K star dan 556 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

3.8K 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 skill is macOS-specific, which may limit its applicability, but it explicitly asks before adapting to other platforms.
  • The skill describes a complex system with many components; the SKILL.md is thorough but may be overwhelming for some users.
  • 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
  • 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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