Laporan audit skill

field-onboarding Laporan audit.

Guide a researcher step by step into an unfamiliar research field, or decode a paper, abstract, figure caption, or referee comment they cannot parse. Builds understanding in rungs (motivation, vocabulary, core framework, methods, frontier), anchored to what the user already knows, with a checkpoint before each advance. Use when the user says they are new to a field, asks what a research area or method is, says an explanation was too technical, asks to be walked through something step by step, asks for a reading path, or supplies dense research text. Trigger even when the user only names an unfamiliar field or pastes an abstract without asking to be taught. Also trigger in other languages, including Chinese such as 入门, 一步一步讲, 看不懂, 这篇论文讲什么, 帮我理解这个领域. Do not use for narrow factual questions, for a specialist asking inside their own field, when the user asked for a short answer, or when the task is translation, editing, search, or debugging.

Ditinjau · TinjauPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
78
Audit
78
Kepercayaan
59
Kualitas
83
Keamanan
100
Maintain
92
Pasang

Trust Score OpenAgentSkill

78
Shortlist kuat

Trust Score OpenAgentSkill

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

Adopsi GitHub

Peringatan

48

56 star GitHub

Aktivitas star/fork

Peringatan

43

56 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

100

29 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

Lulus

90

Tidak ada petunjuk risiko dependensi besar dalam metadata publik

Ketersediaan pemasangan

Lulus

92

npx skills add ljx-chase/research-field-onboarding --skill field-onboarding

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Lulus

100

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Bukti repositori

Lulus

86

https://github.com/ljx-chase/research-field-onboarding/tree/main/field-onboarding

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

8 Lulus · 7 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add ljx-chase/research-field-onboarding --skill field-onboarding

Repositori

88

Lulus

https://github.com/ljx-chase/research-field-onboarding/tree/main/field-onboarding

Lisensi

86

Lulus

MIT

Pemeliharaan

100

Lulus

29 hari sejak push

Tinjauan AI

55

Periksa

Review approval is missing

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

100

Lulus

Tidak ada cakupan izin berisiko tinggi dalam metadata publik

Aktivitas star/fork

43

Perbaiki

56 star dan 2 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

56 star GitHub

Peringatan

  • Persetujuan tinjauan AI belum ada
  • Quality score needs review
  • GitHub adoption: 56 GitHub stars
  • Stars/forks activity: 56 stars, 2 forks; issue activity unavailable in current metadata
  • 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.

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