SKILLEMALL.ai

BC generate-console-theme

Generate a data-only animated theme preset for Ruflo Console Theme Studio. Use when the user requests a new console color palette, cyberpunk theme, or variation of Orbital globe, stars, and swarm animation in Claude or Codex.

The skillemall take

Generates JSON configs for Ruflo Console Theme Studio—color palettes and animations like orbital globes with stars. Claims support for Claude, Cursor, Codex, and six other platforms. Contains 428 body tokens, no scripts, three files with no broken links. Grades B: quality 80, process 57—data looks fine, but assembly logic lags. No critical findings, but never ran on actual models. Install if you need a quick theme generator without perfection demands. Test on your platform first if you need guaranteed output.

ruvnet/ruflo Agent Skills author: ruvnet MIT 3 files body ≈ 428 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Generate a data-only animated theme preset for Ruflo Console Theme Studio.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorAI and agentsSoftware developmentDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
57/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: generate-console-theme (ruvnet/claude-flow)

How to improve

    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: 3. 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 57/100

    • 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
    • 30Running it twice. 1 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 5 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 428 tokens

    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)
    • +4Structure: 1 headings, hard to scan
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 225: enough signal without eating the budget
    • +3Step-by-step instructions: 5 items
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.