SKILLEMALL.ai

BF design-panel

Multi-persona design review. Dispatches 4 UX/UI designer personas in parallel against a live web app, then converges on the highest-impact changes via cross-persona voting. Outputs a ranked report and a machine-readable fix plan. Pairs with /design-review for shipping the top findings. Use when asked to "design panel", "multi-persona design review", "designer panel", "panel review", or after major design milestones.

ClawHub Agent Skills author: Kai Cianflone v1.0.0 MIT-0 11 files body ≈ 8 554 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 53/100 · Will not run — References files that are not bundled: ../../<evidence-pack-path>/screenshots/home_desktop.png

AnalyzerDesignData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: ../../<evidence-pack-path>/screenshots/home_desktop.png
Tools and files w 18
0
When it triggers w 12
20
Inputs and preconditions w 11
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Bash Read Write Edit Glob Grep AskUserQuestion Agent

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8554 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../<evidence-pack-path>/screenshots/home_desktop.png

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: ../../<evidence-pack-path>/screenshots/home_desktop.png
  • 0Tools and files. 1 referenced file(s) missing: ../../<evidence-pack-path>/screenshots/home_desktop.png
  • 20When it triggers. No condition that starts the skill
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 40Execution cost. Instruction body is 8554 tokens: crowds the task out of the window
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 91 steps
  • 100Failures and branches. 14 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 17 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (14 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

  • +4Description does not say when NOT to use the skill (false activations)
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 419: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 91 items
  • +3Output format is stated explicitly
  • +4Has examples (20 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
The skill’s design-review workflow is coherent, but it automatically creates persistent gstack telemetry files and invokes external helper commands outside the reviewed skill.
LLM: suspicious (high) · VirusTotal: · 29 May 2026