AD outbound-calling
该技能调用阿里云晓蜜外呼机器人，向指定手机号码列表发起自动语音外呼，支持自定义话术场景，可批量处理数十至数千个号码，并实时追踪外呼任务进度。 当用户问题涉及「批量给客户打电话通知某件事」「自动外呼做满意度调查或回访」「用机器人拨打面试邀约或活动提醒」「从前置节点（如 CRM、简历筛查）获取号码后直接外呼」时使用该技能。
As a process D 41/100 · 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: 6. 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 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (outbound-calling) differs from the folder (intelligent-outbound-call)
- 60Tools and files. Uses tools (node) that frontmatter does not declare
- 100Steps. 56 steps
- 100Execution cost. Instruction body is 1392 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (5 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 160: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 56 items
- +4Has examples (5 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: suspicious
This skill openly performs Alibaba Cloud bulk outbound calling, but it needs Review because it can place real calls at scale, incur costs, and send broad personal or business context to Alibaba Cloud.
LLM: suspicious (high) · VirusTotal: · 29 May 2026