SKILLEMALL.ai

BF kano-model-strategist

Classify product features into Kano categories. Cut waste. Build MDP over MVP. You have 30 features and 6 weeks. Sort them into Kano's six categories (Must-be, Performance, Attractive, Indifferent, Reverse, Questionable) so you ship the ones that earn their place and cut the rest.

ClawHub Agent Skills author: Monika Zapisek v0.1.1 MIT-0 10 files body ≈ 2 179 tokens Open the sourceclawhub.ai analyzed 2 d ago

Classify product features into Kano categories.

As a process F 66/100 · Will not run — References files that are not bundled: references/kano-classification.md, references/kano-vs-mdpmvp.md, references/experience-rot-checklist.md

ProcedureOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
66/100
Will not run
References files that are not bundled: references/kano-classification.md, references/kano-vs-mdpmvp.md, references/experience-rot-checklist.md
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: kano-model-strategist (ClawHub)

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/kano-classification.md
  • warning missing-ref reference to a missing file: references/kano-vs-mdpmvp.md
  • warning missing-ref reference to a missing file: references/experience-rot-checklist.md
  • warning missing-ref reference to a missing file: references/ceo-pushback-scripts.md
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 66/100

Will not run. References files that are not bundled: references/kano-classification.md, references/kano-vs-mdpmvp.md, references/experience-rot-checklist.md
  • 0Tools and files. 4 referenced file(s) missing: references/kano-classification.md, references/kano-vs-mdpmvp.md, references/experience-rot-checklist.md
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 26 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2179 tokens
  • 100Progress reporting. Reports progress

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)
  • +2Single-language instructions
  • +3Description length 282: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 26 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This appears to be a product-planning guidance skill with no evidence of malware, exfiltration, persistence, or privileged system access.
LLM: benign (medium) · VirusTotal: · 3 Jul 2026