Laporan audit skill

datalad Laporan audit.

Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
83
Audit
77
Kepercayaan
88
Kualitas
70
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

77
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Lulus

100

48K star GitHub

Aktivitas star/fork

Lulus

97

48K star dan 4.3K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

8 hari 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

36

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add K-Dense-AI/scientific-agent-skills --skill datalad

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

22

secrets or environment access, shell or command execution

Bukti repositori

Lulus

86

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/datalad

Status peninjauan

Peringatan

50.75

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 11 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add K-Dense-AI/scientific-agent-skills --skill datalad

Repositori

88

Lulus

https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/datalad

Lisensi

86

Lulus

MIT

Pemeliharaan

100

Lulus

8 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

36

Perbaiki

command execution surface, credential or environment access

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

22

Perbaiki

secrets or environment access, shell or command execution

Aktivitas star/fork

97

Lulus

48K star dan 4.3K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

88

Lulus

48K star GitHub

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Persetujuan tinjauan AI belum ada
  • 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
  • Review status: AI review approval is missing

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

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