Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/josemerca/mercadona-user-story-toolkitnpx agentmods add skills/josemerca/mercadona-user-story-toolkit/story-prioritizationWrote 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/josemerca/mercadona-user-story-toolkit/story-prioritization)<a href="https://agentmods.dev/skills/josemerca/mercadona-user-story-toolkit/story-prioritization"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/story-prioritization/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/josemerca/mercadona-user-story-toolkit/story-prioritization"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/story-prioritization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00158 | $0.02315 |
| Opus 5 | $0.00079 | $0.01157 |
| Sonnet 5 | $0.00032 | $0.00463 |
| Haiku 4.5 | $0.00016 | $0.00231 |
Grade A, and why
story-prioritization 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 — 261 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Prioritization v1.0 — Batches Iterativos Anti-Waterfall
Ultimo paso del pipeline. Asiste al usuario en definir un orden de entrega iterativo que maximiza valor y aprendizaje, evitando patrones waterfall.
Modo copiloto: Los scores y batches son PROPUESTAS basadas en la información disponible. El usuario valida y ajusta. Si hay incertidumbre sobre el valor o complejidad de una story, PREGUNTAR en vez de asignar un score arbitrario. Ver shared-config.md §Filosofía del Plugin.
"El orden de entrega importa tanto como la calidad de las stories. Entregar infraestructura sin valor usuario es waterfall disfrazado de agile."
Ver SKILL-reference.md S1 para diagrama comparativo waterfall vs iterativo.
Posicion en el Pipeline
quality-guard|prd-quality-guard -> research -> stories -> validate -> split -> PRIORITIZE
^
ESTA SKILL
Input: Stories validadas (con scoring 6 dimensiones) desde /split-stories o /validate-stories
Output: Backlog priorizado en batches iterativos con justificacion por story
Flujo de Priorizacion
STORIES VALIDADAS (input)
|
v
+--------------------------------------+
| 1. CARGAR STORIES |
| - Desde paso anterior del pipeline|
| - O stories pegadas por usuario |
| - Verificar que tienen scoring |
+--------------------------------------+
|
v
+--------------------------------------+
| 2. SCORING 5 LENTES |
| Por cada story: |
| - Value (30%) |
| - Learning (25%) |
| - Dependencies (20%) |
| - Risk of Delay (15%) |
| - Inverse Complexity (10%) |
| Priority Score = sum(lente*peso) |
+--------------------------------------+
|
v
+--------------------------------------+
| 3. GRAFO DE DEPENDENCIAS |
| - Identificar dependencias |
| tecnicas genuinas entre stories |
| - Detectar falsas dependencias |
| ("necesitamos infra primero") |
| - Visualizar grafo |
+--------------------------------------+
|
v
+--------------------------------------+
| CHECKPOINT: DEPENDENCIAS |
| Validar con usuario: |
| - Dependencias correctas? |
| - Alguna falsa dependencia? |
| - Falta alguna dependencia? |
+--------------------------------------+
|
v
+--------------------------------------+
| 4. GENERACION DE BATCHES |
| - Agrupar stories por Priority |
| Score respetando dependencias |
| - 2-4 stories por batch |
| - Validar anti-waterfall |
| - Generar justificacion |
+--------------------------------------+
|
v
+--------------------------------------+
| 5. VALIDACION ANTI-WATERFALL |
| - Cada batch tiene >=1 story |
| con valor usuario directo |
| - Spikes time-boxed (<=3 dias) |
| - Infra justificada con story |
| - Detectar patrones waterfall |
+--------------------------------------+
|
v
+--------------------------------------+
| 6. REPORTE DE PRIORIZACION |
| - Ranking con justificacion |
| - Batches con entrega de valor |
| - Alertas waterfall (si hay) |
| - Visualizacion del orden |
+--------------------------------------+
|
v
BACKLOG PRIORIZADO
What ships with it
2 files 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 · 261 lines · 158 tokens per session scan A 11c0d442cab8
story-prioritization is a skill published in the GitHub repository josemerca/mercadona-user-story-toolkit (25 stars, last pushed 4mo ago), licensed MIT. It adds 158 tokens to every session and 2,315 once invoked, about $0.0008 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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