AC generador-artifact-educativo-formula100k
Use when the user asks to create an educational artifact, miniapp, interactive resource, or visual guide for a concept of her own course or community, or of FÓRMULA 100K. Triggers on phrases like "crea un artifact", "miniapp educativa", "recurso para mis alumnas", "artifact del tab X", "guía interactiva", "construye un artifact sobre [tema]", "armemos un artifact de [concepto]". Generates a single self-contained HTML file (Guía / Flashcards / Examen) with React + Tailwind + Babel via CDN that works by double-clicking — no server, no build, no Claude subscription needed. Saves it to entregables/artifacts/ and sends it by Telegram.
Use when the user asks to create an educational artifact, miniapp, interactive resource, or visual guide for a concept of her own course or community, or of…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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: 4. 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
- 70When it triggers. States when to use, but not when not to
- 85Steps. 80 steps, 2 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2473 tokens
- 100Running it twice. No mutating operations
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 637: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 80 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.