BC zayn-ai-task-diagnosis
在用户准备创建 Skill、自动化、程序工具、工作流或 AI 助手前，通过目标、变化频率、数据证据和最终责任四问诊断真实需求；跨岗位判断应采用普通对话、Skill、定时或条件自动化、程序、模板、人工、人机协作或暂时不做，并优先给出低成本最小版本。
在用户准备创建 Skill、自动化、程序工具、工作流或 AI 助手前，通过目标、变化频率、数据证据和最终责任四问诊断真实需求；跨岗位判断应采用普通对话、Skill、定时或条件自动化、程序、模板、人工、人机协作或暂时不做，并优先给出低成本最小版本。
As a process C 53/100 · Has gaps — 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: 23. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 4 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 578 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 123: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 4 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.
External checks
ClawHub: clean
This skill is a disclosed Chinese-language task-diagnosis guide that helps users decide when AI, automation, programs, templates, or humans should handle work, with repeated emphasis on human review for high-risk actions.
LLM: benign (high) · VirusTotal: · 10 Aug 2026