SKILLEMALL.ai

AF algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

ClawHub Agent Skills author: paudyyin v1.0.0 MIT-0 5 files body ≈ 4 833 tokens Open the sourceclawhub.ai analyzed 27 h ago

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code…

As a process F 53/100 · Will not run — References files that are not bundled: templates/viewer.html

GeneratorSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: templates/viewer.html
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: algorithmic-art (ClawHub)

How to improve

  1. 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 · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: templates/viewer.html

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: templates/viewer.html
  • 0Tools and files. 1 referenced file(s) missing: templates/viewer.html
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 4 branches
  • 70Execution cost. Instruction body is 4833 tokens
  • 85Steps. 128 steps, 3 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 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)
  • +2Single-language instructions
  • +3Description length 324: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 128 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a generative-art helper with some branding and CDN caveats, but no hidden data access, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 19 Jun 2026