CC evaluador-ganchos-formula100k
Evalúa ganchos visuales a partir de capturas del primer segundo de videos O del video completo. Activar SIEMPRE que se pida 'evalúa este gancho', 'analiza mi primer segundo', 'revisa mi gancho', 'diagnostica este primer segundo', 'qué le falta a este gancho', 'puntaje de mi gancho', 'es viral este gancho', 'audita mi thumbnail', 'mejora este primer segundo', 'predice si va a viralizar', 'pásalo por virality predictor'. También cuando suban una captura O un archivo de video (.mp4/.mov) y quieran saber si funciona. Aplica la metodología de FÓRMULA 100K: Sistema E.N.C. (Estímulo Núcleo, Carga Cognitiva, Contextualización), las 5 Formas Visuales (F1-F5), los 15 Gatillos de Viralidad, el Gancho Textual del Top 1% y el Test del 1 Segundo. Cuando el input es VIDEO, complementa la lectura manual con el Virality Predictor de Higgsfield (hook strength, retention risk, engagement, atención).
Evalúa ganchos visuales a partir de capturas del primer segundo de videos O del video completo.
As a process C 60/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 60/100
- 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
- 20When it triggers. No condition that starts the skill
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 92 steps, 1 vague phrases
- 100Tools and files. No external tools needed
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3477 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
- +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 893: 120–800 characters recommended
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +4Structure: 16 headings
- +3Step-by-step instructions: 92 items
- +3Output format is stated explicitly
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.