BD Customer Service Reply
客服话术和回复模板生成器。售前咨询、售后问题、差评回复、退换货、升级处理、行业FAQ、满意度挽回。. Use when you need customer service reply capabilities. Triggers on: customer service reply.
As a process D 41/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: All mapping items must start at the same column at line 4, column 1: description: "客服话术和回复模板生成器。售前咨询、售后问题、差评回复、退换货、升级处理、行业FAQ、满意度挽回。. Use when you n… 客服回复模板。售前咨询、售后处理、退换货、投诉回复、好评引导、升级处理、行业FAQ、满意度挽回。Customer service reply templa… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "source"
Process rating: all ten parameters 41/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (Customer Service Reply) differs from the folder (customer-service-reply)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 75Steps. 3 steps
- 100Execution cost. Instruction body is 318 tokens
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
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 142: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 3 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.
External checks
ClawHub: clean
The skill appears to use local files for its own records and history, with privacy considerations but no evidence of exfiltration, deception, privilege escalation, or destructive behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026