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 josemerca/mercadona-user-story-toolkit --skill research-from-prdgit clone --depth 1 https://github.com/josemerca/mercadona-user-story-toolkitWrote 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/research-from-prd)<a href="https://agentmods.dev/skills/josemerca/mercadona-user-story-toolkit/research-from-prd"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/research-from-prd/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/research-from-prd"><img src="https://agentmods.dev/badge/skills/josemerca/mercadona-user-story-toolkit/research-from-prd.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 | $0.00192 | $0.03412 |
| Opus 5 | $0.00096 | $0.01706 |
| Sonnet 5 | $0.00038 | $0.00682 |
| Haiku 4.5 | $0.00019 | $0.00341 |
Grade A, and why
research-from-prd 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research from PRD — Discovery en 6 Bloques
Pieza central del pipeline →Stories. Asiste al usuario en estructurar el research como un proceso de descubrimiento riguroso: 6 bloques que garantizan que pasamos del problema a JTBDs con evidencia real, sin saltar pasos ni inventar conclusiones.
Modo copiloto: Esta skill diseña y propone planes de research, pero NO sustituye el research real. Las conclusiones se basan en evidencia recogida por el usuario, NUNCA inventada. Si el usuario no ha hecho entrevistas, el output son planes y guías de entrevista — no JTBDs inventados. Ver shared-config.md §Filosofía del Plugin.
Las Tres Capas
Tres capas: Proceso (6 bloques) + Lente (JTBD: foco en el TRABAJO, 3 dimensiones F/E/S) + Técnica (Mom Test + Field Study). El JTBD no es un paso — es la lente que atraviesa TODO.
Ver SKILL-reference.md §1 para diagrama completo, tabla comparativa por bloque y antipatrón clave.
Pipeline: 6 Bloques del Discovery
Flujo: prd-quality-guard → Preparación → B1 Propósito → B2 Plan → B3 Criterios → [Ejecución] → B4 Análisis → B5 Conclusiones → B6 Next Steps → jtbd-to-stories → quality-coach.
Ver SKILL-reference.md §2 para diagrama completo del pipeline.
PREPARACIÓN: Análisis del PRD
Cuándo ejecutar: SIEMPRE, como primer paso antes de los 6 bloques.
Proceso
- Obtener el PRD (fichero local, URL o pegado por el usuario)
- Leer
references/gap-detection-prd.md - Analizar EAC con GAP-PRD-01 a PRD-04 + EFC/Scope con GAP-PRD-05 a PRD-08
- Calcular Gap Score:
(Críticos × 10) + (Mayores × 5) + (Menores × 2) + (Refinamiento × 1). Cálculo determinista:python3 scripts/gap_score.py --criticos=<N> --mayores=<N> --menores=<N> --refinamiento=<N> - Inventariar JTBDs existentes (si los hay en el Discovery del PRD)
- Determinar modo:
- Descubrir (Discovery del PRD ausente o flojo)
- Validar (Discovery+EAC completos, hay hipótesis a contrastar)
Reutilización de evidencia previa
What ships with it
6 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 · 275 lines · 192 tokens per session scan A 192bf98b70d3
research-from-prd is a skill published in the GitHub repository josemerca/mercadona-user-story-toolkit (25 stars, last pushed 4mo ago), licensed MIT. It adds 192 tokens to every session and 3,412 once invoked, about $0.0010 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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