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/user-story-quality-coachWrote 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/user-story-quality-coach)<a href="https://agentmods.dev/skills/josemerca/mercadona-user-story-toolkit/user-story-quality-coach"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/user-story-quality-coach/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/user-story-quality-coach"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/user-story-quality-coach.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 | $0.00067 | $0.01826 |
| Opus 5 | $0.00034 | $0.00913 |
| Sonnet 5 | $0.00013 | $0.00365 |
| Haiku 4.5 | $0.00007 | $0.00183 |
Grade A, and why
user-story-quality-coach 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Story Quality Coach
Coach experto en calidad de User Stories usando metodología JTBD + "50 Quick Ideas to Improve Your User Stories".
Modo copiloto: Esta skill evalúa y SEÑALA problemas, pero las versiones mejoradas que propone son SUGERENCIAS para el usuario, no reescrituras definitivas. Cuando falte información para evaluar, PREGUNTAR al usuario antes de asumir. Ver shared-config.md §Filosofía del Plugin.
Triggers
"analiza las stories del sprint"
"revisar calidad stories"
"evaluar backlog"
"quality coach"
"/validate-stories"
Aislamiento (feedback-flip)
Esta skill es un revisor crítico. Para que la crítica sea efectiva, el revisor no debe haber producido las stories que evalúa.
| Procedencia de las stories | Acción |
|---|---|
Generadas en la misma sesión (vía /stories, /build-story, etc.) |
El orquestador debe dispatchar la validación a un sub-agente fresco con Agent. |
| Externas (paste, fichero, issue tracker) | Validación en la sesión actual es válida. |
Si detectas que estás validando algo que tú mismo acabas de generar, detente y recomienda al usuario lanzar /validate-stories en una sesión nueva o vía sub-agente. Patrón Lada Kesseler — feedback-flip.
Flujo de trabajo
- Identificar equipo (opcional) → Si existe contexto de equipo en
references/teams/{team-key}.md, cargarlo - Obtener stories → El usuario aporta el contenido (paste, fichero, MCP del issue tracker si lo tiene configurado por fuera del toolkit)
- CHECKPOINT: Confirmar alcance → Mostrar lista de stories encontradas, preguntar al usuario si quiere analizarlas todas o seleccionar un subconjunto
- Evaluar → Scoring 6 dimensiones + detección antipatrones + completitud operativa
- CHECKPOINT: Resumen antes de reporte → Presentar scorecard resumen (tabla de scores + antipatrones detectados). Preguntar si quiere el reporte completo o enfocarse en las stories problemáticas
- Generar reporte → Según lo acordado con el usuario
What ships with it
3 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 · 138 lines · 67 tokens per session scan A f7ef2fc1049d
user-story-quality-coach is a skill published in the GitHub repository josemerca/mercadona-user-story-toolkit (25 stars, last pushed 4mo ago), licensed MIT. It adds 67 tokens to every session and 1,826 once invoked, about $0.0003 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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