AD chatbi-agent-skill
通过命令行调用 ChatBI 问数 Agent 流式接口,对企业数据表进行自然语言驱动的数据查询分析。 本工具支持:发起自然语言问数、实时跟踪 Agent 执行流程、提取意图理解/选表结果/SQL/最终回答。 当用户需要查询数据库、分析数据、用自然语言问数,或提到"ChatBI"、"问数"、"数据查询"、"SQL分析"时使用本 Skill。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 11. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "domain"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (chatbi-agent-skill) differs from the folder (chatbi-skil-test)
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Execution cost. Instruction body is 515 tokens
- 100Running it twice. No mutating operations
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 171: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.
External checks
ClawHub: suspicious
This ChatBI skill matches its stated data-query purpose, but it can send enterprise questions and embedded workspace/account context to a production HTTP endpoint with broad activation and limited privacy warnings.
LLM: suspicious (high) · VirusTotal: · 29 May 2026