Laporan audit skill

managed-ingestion-service Laporan audit.

Ingest documents at scale into Amazon OpenSearch using OpenSearch Ingestion Service (OSIS) pipelines. Upload pre-generated JSONL chunks to S3 and OSIS indexes them — optionally using semantic_enrichment in the sink to create the index with ASE automatically. Cloud ingestion — uploading raw PDF/DOCX and letting document_extractor parse them in the cloud — is available via private beta. Use this skill when the user wants to ingest documents into a cloud OpenSearch domain or collection, process documents at full volume beyond local limits, or set up an OSIS pipeline. Activate even if the user says OSIS, ingestion pipeline, document extraction, S3 ingestion, managed ingestion, or cloud processing.

Diblokir · BlokirPerlu ditinjauDihasilkan 14 Okt 2026Audit metadata heuristik
71
Audit
69
Kepercayaan
56
Kualitas
72
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

Peringatan

48

52 star GitHub

Aktivitas star/fork

Peringatan

53

52 star dan 52 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

88

1 bulan sejak push

Kejelasan lisensi

Lulus

86

Apache-2.0

Kelengkapan README/SKILL.md

Lulus

86

Metadata memuat konteks penggunaan dan alur kerja yang cukup

Risiko dependensi/runtime

Peringatan

54

command execution surface, credential or environment access

Ketersediaan pemasangan

Lulus

92

npx skills add opensearch-project/opensearch-agent-skills --skill managed-ingestion-service

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/opensearch-project/opensearch-agent-skills/tree/main/skills/opensearch-skills/cloud/managed-ingestion-service

Status peninjauan

Peringatan

46

Persetujuan tinjauan AI belum ada

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 17 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add opensearch-project/opensearch-agent-skills --skill managed-ingestion-service

Repositori

88

Lulus

https://github.com/opensearch-project/opensearch-agent-skills/tree/main/skills/opensearch-skills/cloud/managed-ingestion-service

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

Review approval is missing

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

54

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

53

Perbaiki

52 star dan 52 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Adopsi

68

Info

52 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

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Persetujuan tinjauan AI belum ada
  • 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
  • GitHub adoption: 52 GitHub stars
  • Stars/forks activity: 52 stars, 52 forks; issue activity unavailable in current metadata
  • 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.

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