CD radar-contenido-f100k
Radar de contenido de FÓRMULA 100K: monta y corre un sistema que vigila Instagram y te avisa qué FORMATOS están despegando. Cosecha con Apify (búsquedas cortas convertidas a hashtags) y con los Reels guardados que la usuaria reenvía por Telegram; filtra cuentas pequeñas cuyas vistas multiplican sus seguidores; mira cada reel (capturas o análisis de video de Higgsfield) antes de anotarlo; describe la mecánica (no el tema) con anatomía de 4-6 pasos; y la anota en un registro de recurrencia. Una mecánica cruza el umbral cuando aparece en 2+ nichos sin relación. Usar cuando se diga: 'monta mi radar', 'corre mi radar de contenido', 'radar de formatos', 'qué formatos están despegando', 'busca storytelling en Instagram', 'agrega este reel al radar [link]', 'qué cruzó el umbral'. Nunca usa una sesión logueada. NO escribe guiones (guionizacion-formula100k), NO audita una cuenta entera (analizador-perfiles-formula100k), NO caza temas del día (radar-virales-f100k).
Radar de contenido de FÓRMULA 100K: monta y corre un sistema que vigila Instagram y te avisa qué FORMATOS están despegando.
As a process D 35/100 · Unfinished process — References files that are not bundled: scripts/cosecha.js, scripts/mirar.sh
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 2. 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") - warning
missing-refreference to a missing file: scripts/cosecha.js - warning
missing-refreference to a missing file: scripts/mirar.sh
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: scripts/cosecha.js, scripts/mirar.sh
- 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
- 100Steps. 48 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2844 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (10 tags): a typed call is more reliable
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 968: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.