OpenAgentSkill
GitHub200+

Laporan audit skill

trace-analytics Laporan audit.

Investigate distributed traces and spans in OpenSearch. Use this skill when the user wants to analyze traces, investigate slow spans, find error spans, track agent invocations, measure token usage, reconstruct trace trees, query service maps, or debug distributed systems through trace data. Activate even if the user says traceId, spanId, OpenTelemetry, OTel, distributed tracing, latency, span duration, service map, or trace investigation without mentioning OpenSearch.

Diblokir · BlokirPerlu ditinjauDihasilkan 13 Okt 2026Audit metadata heuristik
70
Audit
62
Kepercayaan
61
Kualitas
72
Keamanan
88
Maintain
92
Pasang

Trust Score OpenAgentSkill

62
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

56

credential or environment access, network or browser surface

Ketersediaan pemasangan

Lulus

92

npx skills add opensearch-project/opensearch-agent-skills --skill trace-analytics

Keamanan perintah pemasangan

Lulus

92

Jalur pemasangan paket atau runtime standar

Cakupan izin

Gagal

18

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/observability/trace-analytics

Status peninjauan

Info

66

Data tinjauan AI tersedia

Hasil terbukti Agent

Info

54

Belum ada data hasil Agent

Pemeriksaan

Tinjauan pemasangan dan adopsi

6 Lulus · 15 Perlu ditinjau

Jalur pemasangan

92

Lulus

npx skills add opensearch-project/opensearch-agent-skills --skill trace-analytics

Repositori

88

Lulus

https://github.com/opensearch-project/opensearch-agent-skills/tree/main/skills/opensearch-skills/observability/trace-analytics

Lisensi

86

Lulus

Apache-2.0

Pemeliharaan

88

Lulus

1 bulan sejak push

Tinjauan AI

55

Periksa

PPL query templates embed user-supplied values such as <TRACE_ID> directly into query strings; a malicious trace ID or field value could inject additional PPL clauses if not escaped or validated.

Kelengkapan README/SKILL.md

86

Lulus

Usable description available

Risiko dependensi

56

Perbaiki

credential or environment access, network or browser surface

Keamanan perintah pemasangan

92

Lulus

Jalur pemasangan paket atau runtime standar

Cakupan izin

18

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

Peringatan

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • PPL query templates embed user-supplied values such as <TRACE_ID> directly into query strings; a malicious trace ID or field value could inject additional PPL clauses if not escaped or validated.
  • Service map query uses nested struct fields like sourceNode/targetNode but does not show how to extract keyAttributes.name, which can produce hard-to-read output.
  • The query templates are not guaranteed to have been validated against a live cluster; the skill correctly instructs verification when an endpoint is available, but this review could not confirm runtime behavior.
  • 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: credential or environment access, network or browser surface
  • Permission surface: secrets or environment access, shell or command execution

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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