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.

Eksperimental · TinjauPerlu ditinjauDihasilkan 22 Agu 2026Audit metadata heuristik
81
Audit
71
Kepercayaan
83
Kualitas
74
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

71
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

100

Diperbarui hari ini

Kejelasan lisensi

Lulus

86

NOASSERTION

Kelengkapan README/SKILL.md

Info

76

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

Risiko dependensi/runtime

Peringatan

56

command execution surface, network or browser surface

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

36

shell or command execution, filesystem or document access

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

100

Lulus

Diperbarui hari ini

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

56

Perbaiki

command execution surface, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

36

Perbaiki

shell or command execution, filesystem or document access

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: shell or command execution, filesystem or document access
  • Dependency/runtime risk: command execution surface, network or browser surface
  • Permission surface: shell or command execution, filesystem or document 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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