Laporan audit skill
eval-design Laporan audit.
Use when the user needs to design evaluation datasets, create test cases, stratify samples, generate adversarial examples, extract eval dimensions from traces/specs, or build a labeled evaluation set. Also use when the user mentions test data design, eval coverage, difficulty stratification, synthetic data generation for eval, or "how to create good evaluation data." Outputs datasets in OpenJudge-compatible format.
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
Info76
816 star GitHub
Aktivitas star/fork
Info71
816 star dan 65 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 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
Info72
Cakupan eksekusi perintah
Ketersediaan pemasangan
Lulus92
npx skills add agentscope-ai/OpenJudge --skill eval-design
Keamanan perintah pemasangan
Info68
dynamic command execution, standard package or runtime install path
Cakupan izin
Info62
shell or command execution, filesystem or document access
Bukti repositori
Lulus86
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/01-eval-design
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 agentscope-ai/OpenJudge --skill eval-design
Repositori
88
https://github.com/agentscope-ai/OpenJudge/tree/main/skills/eval_pipeline/01-eval-design
Lisensi
86
Apache-2.0
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
55
Minor inconsistency: SKILL.md states a 60/30/10 difficulty split, but the bundled coverage_check.py uses EXPECTED_STRATA = {'easy': 0.55, 'boundary': 0.30, 'adversarial': 0.10}. This could confuse users relying on the documented split.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
72
Cakupan eksekusi perintah
Keamanan perintah pemasangan
68
dynamic command execution, standard package or runtime install path
Cakupan izin
62
shell or command execution, filesystem or document access
Aktivitas star/fork
71
816 star dan 65 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
88
816 star GitHub
Peringatan
- Minor inconsistency: SKILL.md states a 60/30/10 difficulty split, but the bundled coverage_check.py uses EXPECTED_STRATA = {'easy': 0.55, 'boundary': 0.30, 'adversarial': 0.10}. This could confuse users relying on the documented split.
- Quality score needs review
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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