Laporan audit skill

ml-autoresearch Laporan audit.

Use when the user wants an autonomous ML research loop that does more than blindly try changes. After every training run the agent analyses what actually happened inside the model — gradients, activations, embeddings, errors, data — and grounds the next change in that evidence. A `<literature>` on/off dial adds scientific-literature grounding: off behaves as a pure analysis-first loop; on searches papers, grades the evidence, and implements only what prior work supports. One change per run; loops forever until interrupted. Not for one-off training runs or hyperparameter sweeps.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
73
Audit
72
Kepercayaan
63
Kualitas
78
Keamanan
76
Maintain
92
Pasang

Trust Score OpenAgentSkill

72
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Info

62

163 star GitHub

Aktivitas star/fork

Peringatan

57

163 star dan 19 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Info

76

4 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

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add gaasher/Agent-Loop-Skills --skill ml-autoresearch

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/gaasher/Agent-Loop-Skills/tree/main/loops/ml-autoresearch

Status peninjauan

Lulus

88

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 12 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add gaasher/Agent-Loop-Skills --skill ml-autoresearch

Repositori

88

Lulus

https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/ml-autoresearch

Lisensi

86

Lulus

MIT

Pemeliharaan

76

Periksa

4 bulan sejak push

Tinjauan AI

88

Lulus

Approved with no listed issues

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

64

Periksa

credential or environment access, network or browser surface

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

57

Perbaiki

163 star dan 19 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

163 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

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • 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
  • Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
  • 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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