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CD carrusel-render-formula100k

Renderiza un guion de carrusel a slides PNG terminados (1080×1350, exportados a 2x), listos para subir a Instagram. Estilo por defecto EDITORIAL OSCURO (foto real de la usuaria, sans pesada + serif itálica, acento dorado); alternativo SCRAPBOOK (crema, Caveat + Poppins, post-its, washi tape, stickers) si lo pide. Integra fotos reales de la usuaria (polaroid, hero, cutout, tira de fotomatón). Escribe el HTML y lo exporta a PNG con el Chromium headless del servidor. Activar SIEMPRE que pida: "renderiza este carrusel", "exporta este guion a PNG", "convierte este guion en slides", "diséñame el carrusel", "hazme las imágenes del carrusel", "genera las slides en mi estilo", "carrusel con mi foto", "usa mis fotos", o pase un guion con Slide 1 / Slide 2 queriendo los archivos visuales. También con el resultado de carrusel-viral-formula100k. NO escribe el guion: para eso está carrusel-viral-formula100k.

ClawHub Agent Skills author: Fórmula 100K v1.0.0 MIT-0 9 files · 2 scripts body ≈ 2 096 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Renderiza un guion de carrusel a slides PNG terminados (1080×1350, exportados a 2x), listos para subir a Instagram.

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorPlaywrightTelegramMarketingtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token package-lock.json:44
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha512-+qIYR…PQd+PJGi…oLv+RhT3…mNQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:54
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…bKX+KS9G…yMA/NhKJ…RGz/Q==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:179
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…ymQ+YZi6…w3U+3fPY…7Ow==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:286
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…GLw+xYSd…cqA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:408
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…TIe+vXnW…DL0+idd5…ssn/eusA…vCn/9RBg==",
    detector

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 44/100

  • 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
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 85Steps. 57 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2096 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)
  • +3Description length 907: 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
  • +5Description quotes 8 example trigger phrases
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 57 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a purpose-aligned carousel-to-PNG renderer, but users should be aware that it may read selected personal photos, install npm dependencies, and make font/network requests during rendering.
LLM: benign (high) · VirusTotal: · 17 Sept 2026