Laporan audit skill

hypothesis-gen Laporan audit.

Use when the user wants to generate and literature-vet a pool of novel, testable research hypotheses for a question or domain. A multi-agent loop: a Generator proposes candidate hypotheses, a LiteratureScout grounds each in real retrieved literature (already known? closest prior work? what gap does it fill?), and a Judge scores them against a fixed rubric and keeps the strong, non-duplicate ones; rounds repeat — mutating toward the open gaps — until fresh rounds stop adding keepers. Not for sharpening or decomposing a research question (no grounding/scoring there), and not for grading an existing written proposal against the literature.

Eksperimental · TinjauPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
71
Audit
66
Kepercayaan
63
Kualitas
74
Keamanan
76
Maintain
92
Pasang

Trust Score OpenAgentSkill

66
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

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 hypothesis-gen

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

34

secrets or environment access, filesystem or document access

Bukti repositori

Lulus

86

https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/hypothesis-gen

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

5 Lulus · 15 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add gaasher/Agent-Loop-Skills --skill hypothesis-gen

Repositori

88

Lulus

https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/hypothesis-gen

Lisensi

86

Lulus

MIT

Pemeliharaan

76

Periksa

4 bulan sejak push

Tinjauan AI

55

Periksa

The skill depends on a sibling 'literature-search' skill; if missing, it degrades to web search, but the setup instructions could be clearer about installation steps.

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

34

Perbaiki

secrets or environment access, filesystem or document access

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
  • The skill depends on a sibling 'literature-search' skill; if missing, it degrades to web search, but the setup instructions could be clearer about installation steps.
  • The SKILL.md is long and detailed; some users might find the setup process complex, but it is well-structured.
  • 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, filesystem or document access
  • Stars/forks activity: 163 stars, 19 forks; issue activity unavailable in current metadata
  • Permission surface: secrets or environment access, 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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