SKILLEMALL.ai

AC argus-design-review

Use when reviewing frontend code for design quality — checking design token usage, hardcoded values, dark mode coverage, accessibility compliance, CSS consistency, semantic HTML, or framework API usage. Use when auditing a component, page, or design system for issues. Trigger phrases: '帮我 review 这段代码'、'检查一下这个组件的设计问题'、'看看有没有 hardcoded values'、'dark mode 有没有遗漏'、'无障碍有没有问题'、'帮我做个 design audit'、'让 Argus-Flash 审一下'

ClawHub Agent Skills author: Chenyang v0.4.1 MIT-0 4 files body ≈ 7 834 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

AnalyzerSoftware developmentInfrastructureDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
51/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7834 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 51/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (argus-design-review) differs from the folder (argus)
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7834 tokens
  • 100Steps. 67 steps
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 412: enough signal without eating the budget
  • +4Structure: 72 headings
  • +3Step-by-step instructions: 67 items
  • +3Output format is stated explicitly
  • +4Has examples (51 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a disclosed frontend design review helper that reads code to produce review findings and fixes, with no artifact-backed hidden exfiltration, destructive action, or persistence.
LLM: benign (high) · VirusTotal: · 3 Sept 2026