Laporan audit skill

greploop Laporan audit.

Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments. Triggers Greptile review, fixes all actionable comments, pushes/re-shelves, re-triggers review, and repeats. Use when the user wants to fully optimize a PR/MR/CL against Greptile's code review standards.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
76
Audit
70
Kepercayaan
72
Kualitas
76
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

70
Tinjauan manual

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

76

620 star GitHub

Aktivitas star/fork

Info

71

620 star dan 103 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

Info

64

command execution surface, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add michaelshimeles/skills --skill greploop

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

48

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/michaelshimeles/skills/tree/main/greploop

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

7 Lulus · 10 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add michaelshimeles/skills --skill greploop

Repositori

88

Lulus

https://github.com/michaelshimeles/skills/tree/main/greploop

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

The SKILL.md does not explicitly describe how to fetch the list of unresolved review comments or how to extract the Greptile confidence score from the review output. This is a critical step in the loop (fixing actionable comments) but is left implicit.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

64

Periksa

command execution surface, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

48

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

71

Periksa

620 star dan 103 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

620 star GitHub

Peringatan

  • Permission surface may require sandboxing
  • The SKILL.md does not explicitly describe how to fetch the list of unresolved review comments or how to extract the Greptile confidence score from the review output. This is a critical step in the loop (fixing actionable comments) but is left implicit.
  • Inputs (PR/MR/CL number, max iterations) are used in shell commands without explicit quoting or validation guidance. An agent following the instructions literally could be vulnerable to command injection if the inputs are maliciously crafted.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • 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.

Bandingkan opsi sekitar

Skill terkait untuk diaudit berikutnya