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CF frontend

Builds, styles, and polishes web UI and UX. Use for any frontend, page, component, styling, layout, animation, or visual-quality task, or when asked to make an interface look or feel a certain way.

code-yeongyu/oh-my-openagent Agent Skills author: code-yeongyu NOASSERTION 28 files · 1 script body ≈ 5 172 tokens Open the sourcegithub.com↗ analyzed 5 h ago

Builds, styles, and polishes web UI and UX.

As a process F 55/100 · Will not run — References files that are not bundled: references/ui-ux-db/README.md, references/design/image-to-code-skill.md, references/design/<brand>.md

GeneratorStripeLinearPlaywrightDesignSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
58
Run on models
none yet
Process rating
F
55/100
Will not run
References files that are not bundled: references/ui-ux-db/README.md, references/design/image-to-code-skill.md, references/design/<brand>.md
Tools and files w 18
0
Inputs and preconditions w 11
0
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: frontend (code-yeongyu/oh-my-openagent)

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
  • low Dangerous commands cmd-pipe-to-shell-known-host scripts/perfection/lighthouse-audit.py:13
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment; documentation of a security skill)
    #      curl -LsSf https://astral.sh/uv/install.sh | sh
    commentsecurity skill

Files scanned: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5172 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/ui-ux-db/README.md
  • warning missing-ref reference to a missing file: references/design/image-to-code-skill.md
  • warning missing-ref reference to a missing file: references/design/<brand>.md
  • warning missing-ref reference to a missing file: references/ui-ux-db/

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: references/ui-ux-db/README.md, references/design/image-to-code-skill.md, references/design/<brand>.md
  • 0Tools and files. 4 referenced file(s) missing: references/ui-ux-db/README.md, references/design/image-to-code-skill.md, references/design/<brand>.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 4 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5172 tokens
  • 100Steps. 18 steps
  • 100Failures and branches. 1 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 10 top-level sections: this looks like several domains in one skill

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)
  • -5TODO / placeholder text left in the skill
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 18 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.