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 sinaptik-ai/starpod --skill pptxgit clone --depth 1 https://github.com/sinaptik-ai/starpodWrote 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/sinaptik-ai/starpod/pptx)<a href="https://agentmods.dev/skills/sinaptik-ai/starpod/pptx"><img src="https://agentmods.dev/badge/skills/sinaptik-ai/starpod/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/sinaptik-ai/starpod/pptx"><img src="https://agentmods.dev/badge/skills/sinaptik-ai/starpod/pptx.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 | $0.00058 | $0.01929 |
| Opus 5 | $0.00029 | $0.00964 |
| Sonnet 5 | $0.00012 | $0.00386 |
| Haiku 4.5 | $0.00006 | $0.00193 |
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 9d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PPTX Skill
Quick Reference
| Task | Approach | Script |
|---|---|---|
| Read/extract text | markitdown | python -m markitdown presentation.pptx |
| Visual overview | thumbnail grid | python scripts/thumbnail.py deck.pptx |
| Create from scratch | python-pptx | See below |
| Edit existing | python-pptx load → modify → save | See below |
| Edit XML directly | unpack → edit → pack | See references/editing.md |
| Clean orphans | remove unreferenced files | python scripts/clean.py unpacked/ |
| Convert to images | LibreOffice → pdftoppm | See below |
Reading Content
python -m markitdown presentation.pptx
python scripts/thumbnail.py presentation.pptx # visual grid
Creating Presentations with python-pptx
Basic deck
from pptx import Presentation
from pptx.util import Inches, Pt, Emu
from pptx.dml.color import RGBColor
from pptx.enum.text import PP_ALIGN
prs = Presentation()
prs.slide_width = Inches(13.333) # 16:9 widescreen
prs.slide_height = Inches(7.5)
# Title slide
slide = prs.slides.add_slide(prs.slide_layouts[6]) # blank layout
txBox = slide.shapes.add_textbox(Inches(1), Inches(2.5), Inches(11), Inches(2))
tf = txBox.text_frame
p = tf.paragraphs[0]
p.text = "Presentation Title"
p.font.size = Pt(44)
p.font.bold = True
p.font.color.rgb = RGBColor(0x1E, 0x27, 0x61)
p.alignment = PP_ALIGN.CENTER
prs.save("output.pptx")
Slide with image and text columns
slide = prs.slides.add_slide(prs.slide_layouts[6])
# Left column: text
txBox = slide.shapes.add_textbox(Inches(0.8), Inches(1.2), Inches(5.5), Inches(5))
tf = txBox.text_frame
tf.word_wrap = True
p = tf.paragraphs[0]
p.text = "Key Insight"
p.font.size = Pt(28)
p.font.bold = True
p2 = tf.add_paragraph()
p2.text = "Supporting details go here with context and evidence."
p2.font.size = Pt(16)
p2.space_before = Pt(12)
# Right column: image
slide.shapes.add_picture("chart.png", Inches(7), Inches(1), Inches(5.5), Inches(5))
Tables
rows, cols = 4, 3
table_shape = slide.shapes.add_table(rows, cols, Inches(1), Inches(1.5), Inches(11), Inches(4))
table = table_shape.table
# Headers
headers = ["Metric", "Q1", "Q2"]
for i, h in enumerate(headers):
cell = table.cell(0, i)
cell.text = h
for p in cell.text_frame.paragraphs:
p.font.bold = True
p.font.size = Pt(14)
p.font.color.rgb = RGBColor(0xFF, 0xFF, 0xFF)
cell.fill.solid()
cell.fill.fore_color.rgb = RGBColor(0x1E, 0x27, 0x61)
# Data rows
data = [["Revenue", "$1.2M", "$1.5M"], ["Growth", "12%", "15%"], ["Users", "5,000", "6,200"]]
for r, row_data in enumerate(data):
for c, val in enumerate(row_data):
table.cell(r + 1, c).text = val
What ships with it
8 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.
- references/editing.md 2.2 KB
- scripts/__init__.py 0 B runs code
- scripts/clean.py 4.4 KB runs code
- scripts/office/__init__.py 0 B runs code
- scripts/office/pack.py 2.5 KB runs code
- scripts/office/soffice.py 5.0 KB runs code
- scripts/office/unpack.py 2.5 KB runs code
- scripts/thumbnail.py 6.4 KB runs code
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.
- 9d ago First seen · 206 lines · 58 tokens per session scan A d36d6640d038
pptx is a skill published in the GitHub repository sinaptik-ai/starpod (78 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 1,929 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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