Laporan audit skill

ipollowork-maintainable-code Laporan audit.

Mandatory iPolloWork code-change gate for modern, minimal, performant, reuse-first implementation and clean repository ownership. Use whenever AI creates, edits, deletes, or refactors application code, server code, packages, scripts, tests, dependencies, schemas, routes, UI, or generated-file workflows. Reuse existing code before creating files, keep one source of truth, prevent parallel implementations and junk directories, justify every new file or dependency, and audit the current change before completion.

Diblokir · BlokirPerlu ditinjauDihasilkan 12 Okt 2026Audit metadata heuristik
77
Audit
67
Kepercayaan
80
Kualitas
70
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

67
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

4.5K star GitHub

Aktivitas star/fork

Lulus

83

4.5K star dan 878 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

2 bulan sejak push

Kejelasan lisensi

Lulus

86

NOASSERTION

Kelengkapan README/SKILL.md

Info

76

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

Risiko dependensi/runtime

Gagal

38

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add Devin-AXIS/iPolloWork --skill ipollowork-maintainable-code

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/Devin-AXIS/iPolloWork/tree/main/.codex/skills/ipollowork-maintainable-code

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 Devin-AXIS/iPolloWork --skill ipollowork-maintainable-code

Repositori

88

Lulus

https://github.com/Devin-AXIS/iPolloWork/tree/main/.codex/skills/ipollowork-maintainable-code

Lisensi

86

Lulus

NOASSERTION

Pemeliharaan

88

Lulus

2 bulan sejak push

Tinjauan AI

55

Periksa

Repository license is NOASSERTION; the skill itself does not include a license or attribution, which may create compliance ambiguity.

Kelengkapan README/SKILL.md

84

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

4.5K star dan 878 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

4.5K 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
  • Repository license is NOASSERTION; the skill itself does not include a license or attribution, which may create compliance ambiguity.
  • The audit script is only partially shown in the excerpt; its full behavior (e.g., file deletion, network calls) is not verifiable from the provided 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
  • 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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