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-blood-bond-predictorgit 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-blood-bond-predictor)<a href="https://agentmods.dev/skills/quinoto-tech/quinotospec/quinotospec-blood-bond-predictor"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-blood-bond-predictor/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-blood-bond-predictor"><img src="https://agentmods.dev/badge/skills/quinoto-tech/quinotospec/quinotospec-blood-bond-predictor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.01000 |
| Opus 5 | $0.00013 | $0.00500 |
| Sonnet 5 | $0.00005 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
quinotospec-blood-bond-predictor 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Quinotospec Blood-Bond Predictor
Genera sugerencias accionables basándose en los patrones detectados por blood-bond-analyzer.
Input
Lee .quinoto-spec/blood-bond/analysis.json generado por blood-bond-analyzer.
Algoritmo de Predicción
REGLA 1: Siguiente en Secuencia
SI: El usuario completó tareas de prefijo X recientemente
Y: La secuencia X → Y es común en el historial
Y: Hay tareas pendientes de prefijo Y
ENTONCES: Sugerir continuar con Y
REGLA 2: Área Caliente (Hot Path)
SI: >40% del trabajo reciente es en área X
Y: Hay tareas pendientes en área X
ENTONCES: Sugerir continuar en X (evitar context switch)
REGLA 3: Desbloqueo
SI: US-A está bloqueando US-B (detectado por dependencias)
Y: US-A se completó
ENTONCES: Sugerir US-B inmediatamente
REGLA 4: Estancamiento (Stagnation Alert)
SI: Propuesta X no tiene avance en >=14 días
ENTONCES: Alertar y sugerir acción
REGLA 5: Prioridad + Velocidad
SI: Hay tareas P1 pendientes
Y: Velocidad actual es alta
ENTONCES: Sugerir continuar con P1
SI: Hay tareas P2 pendientes
Y: Velocidad actual es baja
ENTONCES: Sugerir dividir en tasks más pequeñas
Generación de Sugerencias
Paso 1 — Calcular Confianza
Para cada sugerencia, calcular confianza basada en:
- Frecuencia del patrón en historial (más repeticiones = más confianza)
- Consistencia del comportamiento
- Tiempo desde última sugerencia similar
Escala: Alta (>75%), Media (50-75%), Baja (<50%)
Paso 2 — Ordenar Sugerencias
- Estancamiento alerts (crítico)
- Desbloqueo signals (alta urgencia)
- Hot path continuations (alta confianza)
- Sequence predictions (media confianza)
Paso 3 — Limitar a 3
Máximo 3 sugerencias para no abrumar.
Paso 4 — Generar Acciones
Para cada sugerencia, generar:
- Título descriptivo
- Razón de la sugerencia
- Comando sugerido listo para ejecutar
- Confianza (1-3 barras)
Output
Genera .quinoto-spec/blood-bond/suggestions.md:
# 🩸 Blood-Bond: Sugerencias Proactivas
**Generado**: YYYY-MM-DD HH:MM
**Última actividad**: hace N días
---
## 🔥 Sugerencias Inmediatas
### 1. [Titulo de la sugerencia] (Confianza: ████░░ Alta)
**Razón**: Explicación de por qué se sugiere esta acción
**Acción sugerida**:
@quinotospec.apply TSK-XXX-001
---
## ⚠️ Alertas
### 🚨 Estancamiento Detectado
**Propuesta**: `nombre-de-propuesta`
- Sin avance en **N días**
- N% completada
- **Recomendación**: Completar o archivar
---
## 📊 Tu Perfil de Trabajo
| Métrica | Valor |
|---------|-------|
| Última actividad | hace N días |
| Área principal | XXX |
| Velocidad típica | N tasks/sesión |
| Context switch | Bajo/Medio/Alto |
| Total completado | N tasks |
---
## 🧠 Insights
- **Patrón**: Breve descripción del patrón detectado
- **Recomendación**: Consejo basado en el patrón
---
*💡 Blood-Bond analiza tu historial para predecir qué necesitas a continuación.*
*Para re-generar: `@quinotospec.blood-bond --suggest`*
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 151 lines · 26 tokens per session scan A 0433c79a06e2
quinotospec-blood-bond-predictor is a skill published in the GitHub repository Quinoto-Tech/QuinotoSpec (20 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,000 once invoked, about $0.0001 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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