SKILLEMALL.ai

AB reimagine-it

Claude Code / Codex / Factory Droid plugin and Cursor / Copilot / Gemini CLI Agent Skill. Install with npx skills add Kayforkind/reimagine-it, /plugin marketplace add Kayforkind/reimagine-it, or codex plugin marketplace add Kayforkind/reimagine-it. Redesign any file from its own content: webpage, HTML, landing page, README, PDF, document, slides, PowerPoint, infographic, SVG, dashboard, CLI, or protocol. Use when the user says /reimagine-it, reimagine it, reinvent this, redesign this page, make an infographic, content-aware redesign, or wants a visual leap instead of a mood board. Tokens: artistic, cinematic, photography, neon, glassmorphism, bento, infographic, svg, 3js, simulation, plus leftover words as an open brief. Not /better.

ClawHub Agent Skills author: K Merchant v2.3.1 MIT-0 36 files body ≈ 9 689 tokens Open the sourceclawhub.ai analyzed 2 d ago

Claude Code / Codex / Factory Droid plugin and Cursor / Copilot / Gemini CLI Agent Skill.

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, execution cost, running it twice

IntegrationPowerPointSoftware developmentAI and agentsCommercetype 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
B
67/100
Nearly there
Inputs and preconditions w 11
30
Running it twice w 4
30
Execution cost w 6
40
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: 36. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9689 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 67/100

  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 13 mutating operations with no state check
  • 40Execution cost. Instruction body is 9689 tokens: crowds the task out of the window
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 99 steps, 3 vague phrases
  • 100Failures and branches. 12 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
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (23 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

  • +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
  • +2Single-language instructions
  • +3Description length 743: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 99 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

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

External checks

ClawHub: clean
This skill is a disclosed design-transformation assistant that reads project context and writes redesigned artifacts, with no hidden execution, exfiltration, or deceptive behavior found.
LLM: benign (high) · VirusTotal: · 23 Aug 2026