AD kano-prioritizer
用《AI超级个体》第二章的 KANO 框架把需求分为基本型、期望型、魅力型、无差异型或反向型，并按“先补底线、再做增益、最后上惊喜”生成可解释的产品优先级。用于“KANO 分析”“需求分类”“功能优先级”“先做哪个需求”等请求。
用《AI超级个体》第二章的 KANO 框架把需求分为基本型、期望型、魅力型、无差异型或反向型，并按“先补底线、再做增益、最后上惊喜”生成可解释的产品优先级。用于“KANO 分析”“需求分类”“功能优先级”“先做哪个需求”等请求。
As a process D 46/100 · 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: 5. 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 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 125 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 114: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +4Structure: 3 headings
- +3Step-by-step instructions: 9 items
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: clean
This is a straightforward KANO prioritization helper with a small local sorting script and no evidence of hidden data access or persistence.
LLM: benign (high) · VirusTotal: · 10 Sept 2026