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CD calendario-actividades-skool-f100k

Toma una rutina semanal recurrente + eventos puntuales con fecha + un tema de marca, calcula la grilla real del mes y la renderiza con HTML→Chrome→PNG. Dos caminos: DESDE 0 (arma la rutina con la metodología F100K de anclas) o CLONAR el mes anterior y ajustar. Activar SIEMPRE que se pida "arma el calendario de actividades de mi comunidad/Skool", "hazme el calendario mensual de la comunidad", "el calendario de sesiones del mes", "calendario de eventos de Skool", "diséñame el calendario de actividades como el de F100K", "calendario de la comunidad de [clienta]", "actualiza el calendario de actividades a [mes]", o cualquier variación que combine una comunidad/Skool con el calendario VISUAL de sus sesiones/eventos del mes. NO confundir con calendario-semanal-f100k ni calendarizador-contenido-formula100k (esas son para CONTENIDO de redes), ni con calendarizador-historias/urgencias.

ClawHub Agent Skills author: Fórmula 100K v1.0.0 MIT-0 11 files · 1 script body ≈ 2 318 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Toma una rutina semanal recurrente + eventos puntuales con fecha + un tema de marca, calcula la grilla real del mes y la renderiza con HTML→Chrome→PNG.

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorPlaywrightPersonal productivitytype 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
87/100
safety, quality, tests
Safety 60%
95
Quality 40%
74
Run on models
none yet
Process rating
D
46/100
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: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": "sha512-Kc+brLq…avx+hJjg…ERQ==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:287
    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:409
    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
  • low Secrets in code secret-high-entropy-token package-lock.json:526
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…hnd+3NNM…g6W+rLUs…OoA==",
    detector

Files scanned: 11. 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 46/100

  • 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
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2318 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (5 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 889: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a disclosed Spanish-language calendar planning and rendering helper with normal local file, npm, and Chrome-rendering behavior for its purpose, though users should review dependency and trusted-input risks.
LLM: benign (medium) · VirusTotal: · 17 Sept 2026