BB wiki-normalize
标准化商业研究词条名称，并基于商业分类双轨制与五级架构完成层级判定、名称规范化、规模核算口径匹配与 JSON 输出。用于处理原始词条名称解析、词条消歧义、产业链环节归并、L1-L5 层级识别等词条标准化任务。
标准化商业研究词条名称，并基于商业分类双轨制与五级架构完成层级判定、名称规范化、规模核算口径匹配与 JSON 输出。用于处理原始词条名称解析、词条消歧义、产业链环节归并、L1-L5 层级识别等词条标准化任务。
As a process B 70/100 · Nearly there — weak spots: when it triggers, failures and branches, progress reporting
Proceduretype 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: 3. 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 70/100
- 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
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 429 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)
- +3Description length 104: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 7 headings
- +3Step-by-step instructions: 4 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: clean
The supplied scan telemetry is clean, but the target skill artifact was not available in the workspace for independent content review.
LLM: benign (low) · VirusTotal: · 10 Jul 2026