Laporan audit skill
executing-distributed-system-tests Laporan audit.
Use when running a previously designed distributed-systems test plan against a real or simulated cluster — driving fault injection, workload, chaos scenarios, linearizability / consistency runs, durability, partition, crash-recovery, upgrade, performance/SLO runs, tenant isolation runs, boundary or authz runs, fairness / noisy-neighbor runs, or release validation. Also use when asked to "execute the plan", "reproduce a distributed bug", "run stability tests", "drive chaos", "validate a release end-to-end", "run the tenant isolation tests", or when a plan file exists at docs/testing-plans/ or any caller-specified location and needs to be run. Discovers and reuses the SUT's test toolbox rather than reinventing, captures nemesis landing evidence per scenario, runs the green-but-broken and weak-oracle audits before any PASS, and for boundary or fairness scenarios with §7.M.S arms runs each surface arm with its own verdict under a downgrade rule so the aggregate cannot fold an untested surf
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
230 star GitHub
Aktivitas star/fork
Peringatan57
230 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
3 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Gagal28
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add shenli/distributed-system-testing --skill executing-distributed-system-tests
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal18
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/shenli/distributed-system-testing/tree/main/skills/executing-distributed-system-tests
Status peninjauan
Info66
Data tinjauan AI tersedia
Hasil terbukti Agent
Info54
Belum ada data hasil Agent
Pemeriksaan
Tinjauan pemasangan dan adopsi
Jalur pemasangan
92
npx skills add shenli/distributed-system-testing --skill executing-distributed-system-tests
Repositori
88
https://github.com/shenli/distributed-system-testing/tree/main/skills/executing-distributed-system-tests
Lisensi
86
MIT
Pemeliharaan
88
3 bulan sejak push
Tinjauan AI
55
The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
28
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
18
secrets or environment access, shell or command execution
Aktivitas star/fork
57
230 star dan 12 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
68
230 star GitHub
Financial decision safety
58
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
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- The skill assumes a paired 'designing-distributed-system-tests' skill; if that is missing, the workflow may be incomplete.
- 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
- Stars/forks activity: 230 stars, 12 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
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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