SKILLEMALL.ai

CD illustration-flat-with-black

Draws flat vector spot illustrations of tall, long-legged people doing design and coding things, with solid black as a main colour. Traits: no outlines on coloured fills; black as big solid shapes (hair, trousers, shoes, devices) and as thin detail lines; denim blue, leaf green, sun yellow and tomato red on cream skin; dot eyes, round glasses and blush; big shoes on one thin black ground line; two stars and two plus-sparkles as the only decor. Covers palette, line weights, characters, heads, hands, props, composition and a parts helper for limbs, shoes, heads, hands and paper props. Use when someone asks for flat illustration with black, flat people or character illustration, friendly product or SaaS illustration, or art for empty states, onboarding, 404 and error pages, blog headers, feature spots, marketing cards or app screens in this style.

MengTo/Skills Agent Skills author: MengTo MIT 9 files · 3 scripts body ≈ 4 979 tokens Open the sourcegithub.com↗ analyzed 4 d ago

Draws flat vector spot illustrations of tall, long-legged people doing design and coding things, with solid black as a main colour.

As a process D 39/100 · Unfinished process — References files that are not bundled: examples/stand-up.svg, examples/friday-deploy.svg, examples/messages.svg

ProcedureDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: examples/stand-up.svg, examples/friday-deploy.svg, examples/messages.svg
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Draws flat vector spot illustrations of tall, long-legged people d… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: examples/stand-up.svg
  • warning missing-ref reference to a missing file: examples/friday-deploy.svg
  • warning missing-ref reference to a missing file: examples/messages.svg

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: examples/stand-up.svg, examples/friday-deploy.svg, examples/messages.svg
  • 0Tools and files. 3 referenced file(s) missing: examples/stand-up.svg, examples/friday-deploy.svg, examples/messages.svg
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 18 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4979 tokens
  • 100Steps. 75 steps
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +3Description length 856: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 75 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.