Laporan audit skill
manage-artifacts Laporan audit.
Manage Harness Artifact Registry (AR) via MCP. Configure private registries for Docker, Helm, Maven, npm, and PyPI artifacts, set up upstream proxies for caching public images, configure RBAC and cross-region replication, and define security scanning policies with CVE thresholds and license compliance checks. Use when asked to set up an artifact registry, configure Docker or Helm repositories, manage artifact security scanning, or set up replication. Do NOT use for creating connectors to external registries (use create-connector instead). Trigger phrases: artifact registry, docker registry, helm repository, artifact security, image scanning, private registry, artifact replication, CVE threshold, license compliance, SBOM.
Trust Score OpenAgentSkill
Trust Score OpenAgentSkill
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
Adopsi GitHub
Info62
105 star GitHub
Aktivitas star/fork
Peringatan57
105 star dan 18 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
1 bulan sejak push
Kejelasan lisensi
Lulus86
Apache-2.0
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Info62
credential or environment access, external package install surface
Ketersediaan pemasangan
Lulus92
npx skills add harness/harness-skills --skill manage-artifacts
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Peringatan46
secrets or environment access, filesystem or document access
Bukti repositori
Lulus86
https://github.com/harness/harness-skills/tree/main/skills/manage-artifacts
Status peninjauan
Peringatan46
Persetujuan tinjauan AI belum ada
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add harness/harness-skills --skill manage-artifacts
Repositori
88
https://github.com/harness/harness-skills/tree/main/skills/manage-artifacts
Lisensi
86
Apache-2.0
Pemeliharaan
88
1 bulan sejak push
Tinjauan AI
55
Review approval is missing
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
62
credential or environment access, external package install surface
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
46
secrets or environment access, filesystem or document access
Aktivitas star/fork
57
105 star dan 18 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
105 star GitHub
Peringatan
- Permission surface may require sandboxing
- Persetujuan tinjauan AI belum ada
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- Stars/forks activity: 105 stars, 18 forks; issue activity unavailable in current metadata
- Permission surface: secrets or environment access, filesystem or document access
- 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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