CD radar-virales-f100k
Módulo del Autopilot F100K que corre diariamente: caza el HECHO más reaccionable del día —un lanzamiento de IA, una movida de marketing de una marca grande, o un formato viral SIN cara— evitando a propósito reaccionar a creadores del mismo nicho (eso le entrega la audiencia a un competidor). Elige 1 ganador con scoring + filtro de exclusión, genera un guion de reacción listo para grabar con la voz del usuario donde ÉL es el intérprete del hecho, y envía todo por email. Usar cuando alguien diga: "corre mi radar", "qué hay viral hoy", "dame el viral del día", "ejecutar radar diario", "qué puedo reaccionar hoy", o cuando el schedule automático lo invoque. Requiere config en cerebro/f100k-config.json — si no existe, instruir a correr /rutina-maestra-formula100k primero.
Módulo del Autopilot F100K que corre diariamente: caza el HECHO más reaccionable del día —un lanzamiento de IA, una movida de marketing de una marca grande, o…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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: 1. 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 41/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 85Steps. 25 steps, 1 vague phrases
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2654 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
- +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 5 example trigger phrases
- +3Description length 776: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 25 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.