Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add Quinoto-Tech/QuinotoSpec --skill quinotospec-entropy-calculatorgit clone --depth 1 https://github.com/Quinoto-Tech/QuinotoSpecWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-entropy-calculator)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-entropy-calculator"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-entropy-calculator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-entropy-calculator"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-entropy-calculator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 50 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00042 | $0.01766 |
| Opus 5 | $0.00021 | $0.00883 |
| Sonnet 5 | $0.00008 | $0.00353 |
| Haiku 4.5 | $0.00004 | $0.00177 |
Grade A, and why
quinotospec-entropy-calculator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Quinotospec Entropy Calculator
Motor de cálculo para @quinotospec.tiwaz-rune. Proporciona fórmulas, heurísticas por stack y comandos para obtener valores numéricos reproducibles.
Input: SERVICE_PATH (default: .)
Sección: formal-metrics
Grafo de dependencias — H(G)
- Identificar módulos/capas según estructura de directorios y convenciones del stack.
- Por cada archivo fuente, extraer imports según lenguaje:
| Stack | Comando / Patrón |
|---|---|
| TypeScript/JS | rg "^import .* from" --glob "*.{ts,tsx,js,jsx}" |
| Python | `rg "^(from |
| Go | rg "^import" --glob "*.go" |
| Java | rg "^import " --glob "*.java" |
| Rust | rg "^use " --glob "*.rs" |
- Agrupar archivos en nodos (capa o paquete de primer nivel).
- Construir aristas dirigidas entre nodos.
- Calcular grado(n) = in-degree + out-degree por nodo.
- Aplicar fórmula Shannon y normalizar.
Gráfico ASCII del grafo (obligatorio en output):
[domain] ──→ [application] ──→ [infrastructure]
↑ │
└──────────────┘ ⚠️ ciclo detectado
Complejidad ciclomática — H(system)
Heurística por función/método (sin herramienta externa):
- CC ≈ 1 + número de puntos de decisión (
if,else if,for,while,case,catch,&&,||,?) H(f) = log2(CC)(mínimo log2(1) = 0 para funciones sin ramas)- Ponderar por líneas del archivo para H(system)
Si el stack tiene herramienta de análisis estático, preferirla:
- JS/TS:
npx eslint --rule 'complexity: [error, 10]'o similar - Python:
radon cc -a -s - Go:
gocyclo
Distribución de tamaños — H_size
# Contar líneas por archivo fuente (excluir node_modules, vendor, dist, .git)
find SERVICE_PATH -type f \( -name "*.ts" -o -name "*.py" -o -name "*.go" -o -name "*.java" -o -name "*.rs" \) \
-not -path "*/node_modules/*" -not -path "*/vendor/*" -not -path "*/dist/*" \
-exec wc -l {} + | sort -n
Calcular H_size y H_size_norm. Generar histograma ASCII:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 202 lines · 42 tokens per session scan A 59e764b77f7c
quinotospec-entropy-calculator is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,766 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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