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 CHENyiru3/AI-Skills-Collections --skill officecli-pptxgit clone --depth 1 https://github.com/CHENyiru3/AI-Skills-CollectionsWrote 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/chenyiru3/ai-skills-collections/officecli-pptx)<a href="https://agentmods.dev/skills/chenyiru3/ai-skills-collections/officecli-pptx"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/officecli-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/chenyiru3/ai-skills-collections/officecli-pptx"><img src="https://agentmods.dev/badge/skills/chenyiru3/ai-skills-collections/officecli-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 | $0.00043 | $0.00353 |
| Opus 5.5 | $0.00017 | $0.00141 |
| Sonnet 5.5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
officecli-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 6d 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.
What it actually says
OfficeCLI PPTX Skill
First Check
command -v officecli
officecli --version
Workflow
- Inspect first:
view,get,query - For new decks, read creating.md
- For existing decks, read editing.md
- Run QA with
view issues, visual preview, andvalidate
Reading
officecli view slides.pptx text --start 1 --end 5
officecli view slides.pptx outline
officecli view slides.pptx annotated
officecli view slides.pptx stats
officecli view slides.pptx issues
officecli get slides.pptx /slide[1] --depth 1
officecli query slides.pptx 'shape:contains("Revenue")'
Editing Rules
- Quote indexed paths in zsh:
"/slide[1]/shape[1]" - Use
layout=blankfor custom-designed slides - Re-query slide contents after z-order changes because shape indices can shift
- Use
officecli pptx set shapeorofficecli pptx addbefore guessing properties - Prefer
htmlpreview for multi-slide QA
QA
officecli view slides.pptx issues
officecli view slides.pptx html --browser
officecli validate slides.pptx
What ships with it
2 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.
- 6d ago First seen · 50 lines · 43 tokens per session scan A ee64163318e7
officecli-pptx is a skill published in the GitHub repository CHENyiru3/AI-Skills-Collections (1 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 353 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 2026-10-02.
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