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 Orkas-AI/Orkas-Awesome-AgentSkills --skill office-pptgit clone --depth 1 https://github.com/Orkas-AI/Orkas-Awesome-AgentSkillsWrote 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/orkas-ai/orkas-awesome-agentskills/office-ppt)<a href="https://agentmods.dev/skills/orkas-ai/orkas-awesome-agentskills/office-ppt"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-ppt/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/orkas-ai/orkas-awesome-agentskills/office-ppt"><img src="https://agentmods.dev/badge/skills/orkas-ai/orkas-awesome-agentskills/office-ppt.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 | $0.00003 | $0.01048 |
| Opus 5 | $0.00002 | $0.00524 |
| Sonnet 5 | $0.00001 | $0.00210 |
| Haiku 4.5 | $0.00000 | $0.00105 |
Grade A, and why
office-ppt 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Office PPT
When to Use
Use when the user provides or asks about an existing .pptx presentation and wants inspection, QA, text extraction, template residue detection, global wording changes, notes edits, or simple slide insertion.
Do not use as the main workflow for creating a complete new presentation from a topic. Use a presentation-making workflow for brief, research, outline, and planning first.
Do not use for HTML-to-PPTX conversion; that is a separate preset-driven conversion task.
Script
Run:
python3 <skill_dir>/scripts/pptx_tool.py <subcommand> <path> [args...]
Subcommands:
| Subcommand | Arguments | Purpose |
|---|---|---|
inspect |
<path> |
Full structural report: slides, layouts, shapes, text, placeholders, notes. |
check |
<path> |
Detect template text, empty placeholders, and notes issues. |
list-layouts |
<path> |
List available layouts and placeholders. |
set-text |
<path> <slide_idx> <shape_name_substr> <text> |
Replace text in the first matching text-enabled shape. |
replace-text |
<path> <old_text> <new_text> |
Replace exact text occurrences across the deck. |
add-slide |
<path> <layout_name_substr> |
Add a blank slide using a matching existing layout. |
set-notes |
<path> <slide_idx> <text> |
Replace speaker notes on a slide. |
export-text |
<path> |
Extract slide text and notes as JSON. |
slide_idx is 1-based.
Write commands automatically create a sibling backup named <file>.bak-<timestamp> before saving and return backup_path in JSON. Still create a working copy first for important files.
Workflow
- Run
inspectorexport-textbefore edits to understand the deck structure. - For QA, run
checkand summarize issues by slide. - For write operations, prefer editing a copy of the deck. The script creates a backup, but a working copy keeps the user's original source clean.
- After any edit, rerun
checkorinspectto verify the change landed on the intended slide/shape. - If layout, fonts, overflow, animation, media, or visual fidelity matter, open/render the deck in a presentation viewer before final delivery.
What ships with it
1 file 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 · 95 lines · 3 tokens per session scan A 2493afff23aa
office-ppt is a skill published in the GitHub repository Orkas-AI/Orkas-Awesome-AgentSkills (13 stars, last pushed 2mo ago), licensed MIT. It adds 3 tokens to every session and 1,048 once invoked, about $0.0000 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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