Laporan audit skill

ai-research-explore Laporan audit.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow code-only or run-only exploration, passive repo analysis, verified novelty claims, or implicit experimentation.

Eksperimental · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
76
Audit
69
Kepercayaan
70
Kualitas
79
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

69
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

62

484 star GitHub

Aktivitas star/fork

Peringatan

57

484 star dan 16 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

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add lllllllama/RigorPilot-Skills --skill ai-research-explore

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Peringatan

50

shell or command execution, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore

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 · 11 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add lllllllama/RigorPilot-Skills --skill ai-research-explore

Repositori

88

Lulus

https://github.com/lllllllama/RigorPilot-Skills/tree/main/skills/ai-research-explore

Lisensi

86

Lulus

MIT

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

SKILL.md references shared references under ../ai-research-reproduction/ which are not included in this submitted skill directory; if those files are not bundled or guaranteed present, the skill may not be fully operational.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

90

Lulus

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

50

Perbaiki

shell or command execution, filesystem or document access

Aktivitas star/fork

57

Perbaiki

484 star dan 16 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

484 star GitHub

Peringatan

  • Permission surface may require sandboxing
  • SKILL.md references shared references under ../ai-research-reproduction/ which are not included in this submitted skill directory; if those files are not bundled or guaranteed present, the skill may not be fully operational.
  • The skill delegates to other skills such as explore-code, explore-run, run-train, and analyze-project but does not clarify whether they are bundled, optional, or must be installed separately.
  • No explicit setup or environment requirements are documented, such as where the isolated worktree should be created or what permissions are needed for executing runs and network lookups.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 484 stars, 16 forks; issue activity unavailable in current metadata
  • 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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