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Smartbi BI 业务操作入口：AI 对话分析（大模型问数、智能体、知识库/知识图谱构建与训练、数据解释）、数据查询（MQL/DuckDB 取数、指标统计、字段发现）、数据建模（维度/指标/计算成员/命名集管理）、数据源管理（JDBC连接、Schema 与表同步、元数据刷新）、定时任务与 ETL（计划调度、作业流、因果图）、消息推送（企微/钉钉/飞书/邮件/系统消息）、资源与权限管理（目录树、用户/角色/组）。通过 @smartbi/cli 发现与调用 API。

ClawHub Agent Skills author: WahsonLeung v2.0.0 MIT-0 14 files body ≈ 2 511 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: /docs/specs/datamodel/mql/mql.md

IntegrationInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: /docs/specs/datamodel/mql/mql.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: /docs/specs/datamodel/mql/mql.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: /docs/specs/datamodel/mql/mql.md
  • 0Tools and files. 1 referenced file(s) missing: /docs/specs/datamodel/mql/mql.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Steps. 59 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2511 tokens
  • 100Running it twice. Mutating operations check current state
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (13 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 235: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 59 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This Smartbi skill is coherent BI automation, but it needs Review because it gives an agent broad Smartbi authority while using risky credential, installation, scheduling, and outbound messaging patterns.
LLM: suspicious (high) · 10 Sept 2026