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 jnPiyush/AgentX --skill pptxgit clone --depth 1 https://github.com/jnPiyush/AgentXWrote 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/jnpiyush/agentx/pptx)<a href="https://agentmods.dev/skills/jnpiyush/agentx/pptx"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/pptx/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/jnpiyush/agentx/pptx"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/pptx.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 | $0.00048 | $0.01854 |
| Opus 5.5 | $0.00019 | $0.00742 |
| Sonnet 5.5 | $0.00010 | $0.00371 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
pptx 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 1mo 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 — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX
Practical patterns for reading, writing, and templating Microsoft PowerPoint
.pptxfiles.
Prerequisites
- Python 3.9+
python-pptx-- read/write slides, placeholders, text frames, tables, charts, imagespandoc(CLI, optional) -- convert Markdown ->.pptxand back
When to Use
- Input or output of the task is a
.pptxfile - You need to generate a deck from data (sales updates, weekly reports, dashboards)
- You need to pull text or speaker notes out of slides for downstream search/indexing
- You need to fill a template designed by a designer with code-supplied content
Decision Tree
| Goal | Prefer | Notes |
|---|---|---|
| Generate decks from data | python-pptx + a template .pptx |
Designer controls master / layouts |
| Convert Markdown -> deck | pandoc |
Fast, low-fidelity, but consistent |
| Extract slide text | python-pptx |
Walk slide.shapes for text frames |
| Extract speaker notes | python-pptx |
slide.notes_slide.notes_text_frame.text |
| Modify existing decks | python-pptx |
Avoid editing XML inside the ZIP by hand |
| Charts driven by real data | python-pptx charts |
Backed by a hidden Excel sheet inside the file |
Open and Read
from pptx import Presentation
def read_text(path: str) -> list[str]:
prs = Presentation(path)
out: list[str] = []
for i, slide in enumerate(prs.slides, start=1):
chunks: list[str] = []
for shape in slide.shapes:
if shape.has_text_frame:
for paragraph in shape.text_frame.paragraphs:
text = "".join(run.text for run in paragraph.runs)
if text:
chunks.append(text)
out.append(f"# Slide {i}\n" + "\n".join(chunks))
return out
def read_notes(path: str) -> dict[int, str]:
prs = Presentation(path)
notes: dict[int, str] = {}
for i, slide in enumerate(prs.slides, start=1):
if slide.has_notes_slide:
notes[i] = slide.notes_slide.notes_text_frame.text
return notes
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.
- 1mo ago Changed bf84e50c90ff
- 1mo ago First seen · 216 lines · 48 tokens per session scan A 7f74179b4160
pptx is a skill published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 48 tokens to every session and 1,854 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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