SKILLEMALL.ai
GitHub ↗ RU Sign in

CC awesome-design-of-great-product-company-skill

Query a brand's DESIGN.md (a plain-text design-system format) and present the spec — color palette, typography, components, layout principles, do's and don'ts — back to the user or to another AI agent. Use when the user asks about a product's design style, colors, fonts, or UI conventions, wants a page built in a specific brand's look (e.g. "build a login page in Vercel style", "show me Spotify's colors", "use Apple's typography"), or references DESIGN.md directly. Triggers on brand names like apple, spotify, claude, vercel, linear, stripe, notion, and the rest of the 58 curated brands — even when the user doesn't say "design system" explicitly.

Not recommendedcritical or high security findings
ClawHub Claude Code author: Jacky Shen v1.0.0 MIT-0 80 files body ≈ 717 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Query a brand's DESIGN.md (a plain-text design-system format) and present the spec — color palette, typography, components, layout principles, do's and don'ts…

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorNotionStripeLinearMarketingDesigntype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
74/100
safety, quality, tests
Safety 60%
64
Quality 40%
89
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 2

  • high Dangerous commands cmd-pipe-to-shell docs/warp/preview-dark.html:353
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    <div style="font-family: var(--font-mono); font-size: 16px; font-weight: 400; line-height: 1.0; color: var(--parchment);">curl -fsSL https://warp.dev/install | bash</div>
  • high Dangerous commands cmd-pipe-to-shell docs/warp/preview.html:382
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    <div style="font-family: var(--font-mono); font-size: 16px; font-weight: 400; line-height: 1.0; color: var(--parchment);">curl -fsSL https://warp.dev/install | bash</div>

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

✓ No remarks against the Agent Skills spec

Process rating: all ten parameters 55/100

  • 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
  • 40Consistency. Frontmatter name (awesome-design-of-great-product-company-skill) differs from the folder (awesome-design-of-great-product-company)
  • 70When it triggers. States when to use, but not when not to
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 717 tokens
  • 100Running it twice. No mutating operations
  • 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 653: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: clean
This skill is a static design-reference library that reads bundled brand design documents and does not show hidden execution, credential use, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 4 Jul 2026