CC tutorial-viral-f100k
Orquesta un tutorial viral faceless (sin cara) de FÓRMULA 100K: de una idea o guion a un kit listo para montar. Fase 1 guion con marcas [PANTALLA]/[CARD]/[CTA]; Fase 2 brief de grabación (voz real + pantallas que graba la usuaria); Fase 3 genera cards, mockups y B-roll con Higgsfield o Gemini y capturas tipo tutorial en PNG; Fase 5 entrega GUION.md, BRIEF_GRABACION.md, MANIFEST.md (qué card entra en qué palabra) y un .zip de recursos por Telegram para montarlo en CapCut. En este agente no renderiza ni edita el video; opcional: un borrador juntando clips generados en Higgsfield. Activar cuando se diga: 'tutorial viral', 'explicación viral faceless', 'video sin cara', 'hazme un tutorial de X', 'video tipo screen recording con captions', '/tutorial <tema>'. NO usar para talking-head reels, carruseles, stories ni miniaturas.
Orquesta un tutorial viral faceless (sin cara) de FÓRMULA 100K: de una idea o guion a un kit listo para montar.
As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
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 · 2
✓ No critical or high findings
Medium and low: 2
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medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash Read Write Edit AskUserQuestion Skill
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low Dangerous commands
cmd-privilegeSKILL.md:391Privilege escalation / world-writable permissions (documentation table row)| `npm install` falla en Remotion | Correr `sudo chown -R $(whoami) ~/.npm` y reintentar |
table
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 52/100
- 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
- 70Execution cost. Instruction body is 4267 tokens
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 47 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 13 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (8 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 832: 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: 21 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.