BD Automation Workflow Plus - (自动化 工作流 助手)
帮你把每周重复做的事变成自动运行的机器人。识别高价值自动化场景、选对工具（Dify / Coze / n8n 工作流，或零Token的RPA脚本）、设计流程模板、计算ROI回报。当用户提到"自动化"、"重复任务"、"工作流"、"提效"、"节省时间"、"自动机器人"、"RPA"、"流程自动化"、"automate"、"automation"、"workflow"时触发。
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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - 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 (Automation Workflow Plus - (自动化 工作流 助手)) differs from the folder (automation-workflow-plus)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 70 steps
- 100Execution cost. Instruction body is 2507 tokens
- 100Running it twice. No mutating operations
- low 10 top-level sections: this looks like several domains in one skill
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -233 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 185: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (24 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.
External checks
ClawHub: suspicious
This is mostly an automation guide, but it gives under-scoped advice about passwords, saved login cookies, and internal financial data workflows.
LLM: suspicious (high) · VirusTotal: benign · 28 May 2026