Skill 审计报告
dbt-agent-readiness 审计报告.
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."
OpenAgentSkill 信任评分
OpenAgentSkill 信任评分
Trust Score 帮助 Agent 在安装前判断一个 Skill 是否足以进入候选清单。
GitHub 采用度
失败30
11 个 GitHub Stars
Star/Fork 活跃度
失败32
11 个 Star，0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过88
距上次推送 2 个月
许可证清晰度
通过86
MIT
README/SKILL.md 完整度
通过86
元数据包含足够的用法与工作流上下文
依赖与运行时风险
警告46
command execution surface, credential or environment access
安装可用性
通过92
npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
安装命令安全性
通过92
标准软件包或运行时安装路径
权限范围
失败24
secrets or environment access, shell or command execution
仓库证据
通过86
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
审查状态
信息66
可用 AI 审查数据
Agent 验证结果
信息54
暂未有 Agent 结果数据
检查项
安装与采用审查
安装路径
92
npx skills add GetCassis/dbt-agent-readiness --skill dbt-agent-readiness
仓库
88
https://github.com/GetCassis/dbt-agent-readiness/blob/main/SKILL.md
许可证
86
MIT
维护
88
距上次推送 2 个月
AI 审查
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.
README/SKILL.md 完整度
86
Usable description available
依赖风险
46
command execution surface, credential or environment access
安装命令安全性
92
标准软件包或运行时安装路径
权限范围
24
secrets or environment access, shell or command execution
Star/Fork 活跃度
32
11 个 Star，0 个 Fork; 当前元数据中没有议题活跃度信息
采用度
42
11 个 GitHub Stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
警告
- 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
方法
本报告综合公开元数据、AI 审查输出、仓库活跃度、安装就绪度、OpenAgentSkill 事件、质量评分、信任检查和 Agent 安全门槛；它不是完整的源代码安全审计。
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