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.
git clone --depth 1 https://github.com/gonzalezpazmonica/saviaWrote 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/agents/gonzalezpazmonica/savia/pptx-digest)<a href="https://agentmods.dev/agents/gonzalezpazmonica/savia/pptx-digest"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/savia/pptx-digest/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/agents/gonzalezpazmonica/savia/pptx-digest"><img src="https://agentmods.dev/badge/agents/gonzalezpazmonica/savia/pptx-digest.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 | $0.00079 | $0.01030 |
| Opus 5 | $0.00039 | $0.00515 |
| Sonnet 5 | $0.00016 | $0.00206 |
| Haiku 4.5 | $0.00008 | $0.00103 |
Grade A, and why
pptx-digest 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pptx-digest — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pptx-digest — Digestion Contextual de PowerPoint en 4 Fases
Extrae informacion de presentaciones. Las notas del presentador son la fuente MAS valiosa — priorizarlas sobre texto de slides. Produce digest .md y actualiza documentos de contexto del proyecto.
Dependencia: pip install python-pptx Pillow (instalar si falta)
Fase 1 — Extraccion bruta (sin contexto)
- Extraer metadatos: autor, fecha, titulo, num slides
- Para cada slide: texto de shapes, tablas, notas del presentador
shape.has_text_frame→ paragraphsshape.has_table→ rows/cellsslide.has_notes_slide→ notes_text_frame.text
- Extraer imagenes embebidas (
shape.shape_type == 13→shape.image.blob) - Para imagenes de diagramas/graficos: leer con Read (Claude Vision)
- Extraer datos de graficos si hay
shape.has_chart(series, categorias, valores) - Marcar
[?]textos en imagenes no legibles, acronimos, nombres ambiguos - Si >30 slides: foco en las 15 con mas contenido
Fase 2 — Carga de contexto y resolucion
Leer ficheros del proyecto:
CLAUDE.md,README.md,RULES.md,GLOSSARY.md(si existen)team/TEAM.md,STATUS.md(si existen)
Resolver ambiguedades con diccionario del proyecto. Especial atencion a: nombres en organigramas, acronimos en diagramas, cifras vs metricas conocidas.
Fase 3 — Analisis y sintesis
- Clasificar: steerco/ejecutiva | tecnica | formacion | propuesta | demo
- Extraer segun tipo:
- Steerco: KPIs con valores y tendencias, decisiones, riesgos escalados
- Tecnica: componentes, relaciones, flujos, dependencias
- Propuesta: alcance, costes, hitos, equipo propuesto
- Cruzar: datos vs STATUS.md, metricas vs METRICS.md, personas vs TEAM.md
- Detectar valor unico: informacion que SOLO existe en esta presentacion
Fase 4 — Actualizacion de contexto (OBLIGATORIA)
Protocolo identico a pdf-digest Fase 4. Ademas:
- Organigrama → verificar/actualizar TEAM.md
- Metricas → actualizar METRICS.md
- Roadmap visual → cruzar con roadmaps/
- Decisiones → verificar/actualizar STATUS.md
- Registrar en
_digest-log.md
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.
- 3d ago First seen · 100 lines · 79 tokens per session scan A 2dad5cb9da53
pptx-digest is an agent published in the GitHub repository gonzalezpazmonica/savia (50 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 1,030 once invoked, about $0.0004 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 2026-09-06.
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