BD nl2sql-report
将自然语言转换为 SQL 查询并生成数据分析报告的完整 Agent 工作流。使用多 Agent 协作模式：并行子 Agent 投票做意图识别、生成-判断模式做 Schema Linking、ReAct 自修复 SQL、最终生成 Markdown 报告。 触发场景： - 用户用自然语言描述想查的数据 - 用户想把问题转成 SQL 查询 - 用户想基于查询结果生成分析报告 - 用户提到 NL2SQL、Text2SQL、数据分析报告
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceAI and agentsData and analyticstype and topics are labelled automatically from the skill text
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: 2. 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")
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 (nl2sql-report) differs from the folder (nl2sql-skill)
- 100Tools and files. No external tools needed
- 100Steps. 18 steps
- 100Execution cost. Instruction body is 499 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 216: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
This is an instruction-only NL2SQL reporting workflow with expected read-only database querying, but users should scope database access carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026