Laporan audit skill
dbt-agent-readiness Laporan audit.
Audit a dbt project for agent-readiness: what would an AI agent get wrong if you pointed it at this data today? Produces a prioritized report organized by failure modes (wrong numbers, wrong table, wrong column, can't join, query fails). Scales via two-pass architecture with parallel subagents. Each subagent reads its own phase instruction file, keeping context tight. Use when asked to "audit", "agent-readiness", "scan dbt project", "check data quality", "how ready is my data for AI agents", or "run dbt-agent-readiness."
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
Gagal30
11 star GitHub
Aktivitas star/fork
Gagal32
11 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus88
2 bulan sejak push
Kejelasan lisensi
Lulus86
MIT
Kelengkapan README/SKILL.md
Lulus86
Metadata memuat konteks penggunaan dan alur kerja yang cukup
Risiko dependensi/runtime
Peringatan46
command execution surface, credential or environment access
Ketersediaan pemasangan
Lulus92
npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
Keamanan perintah pemasangan
Lulus92
Jalur pemasangan paket atau runtime standar
Cakupan izin
Gagal24
secrets or environment access, shell or command execution
Bukti repositori
Lulus86
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
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 GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
Repositori
88
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
Lisensi
86
MIT
Pemeliharaan
88
2 bulan sejak push
Tinjauan AI
55
The SKILL.md is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.
Kelengkapan README/SKILL.md
86
Usable description available
Risiko dependensi
46
command execution surface, credential or environment access
Keamanan perintah pemasangan
92
Jalur pemasangan paket atau runtime standar
Cakupan izin
24
secrets or environment access, shell or command execution
Aktivitas star/fork
32
11 star dan 0 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Adopsi
42
11 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 is very long and dense; an agent might struggle to parse all instructions in a single context window, potentially leading to missed details.
- The skill depends on external tools (dbt, sqlglot) and a proper dbt project structure; the SKILL.md does not explicitly state these prerequisites or how to handle missing dependencies.
- The two-pass architecture with parallel subagents adds complexity; if not orchestrated carefully, subagents might produce inconsistent outputs or fail to follow the strict JSON output format.
- Low GitHub adoption signal
- 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: 11 GitHub stars
- Stars/forks activity: 11 stars, 0 forks; issue activity unavailable in current metadata
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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