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 EldanRing/qubicl --skill powerpointgit clone --depth 1 https://github.com/EldanRing/qubiclWrote 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/eldanring/qubicl/powerpoint)<a href="https://agentmods.dev/skills/eldanring/qubicl/powerpoint"><img src="https://agentmods.dev/badge/skills/eldanring/qubicl/powerpoint.svg" alt="Measured on agentmods" 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 | $0.00049 | $0.00297 |
| Opus 5 | $0.00024 | $0.00148 |
| Sonnet 5 | $0.00010 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
powerpoint 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 7d 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
PowerPoint workflows
Keep decks and rendered previews under /home/qubicl. Obtain this skill's resourceRoot from skill_view and run bundled helpers with /opt/qubicl/skills-venv/bin/python. Qubicl computer and workstation images contain the pinned PPTX library; do not install dependencies during a task.
Useful helpers beneath <resourceRoot>/scripts/:
pptx_read.py FILE --outline|--notes|--images DIRpptx_create.py SPEC.json OUTPUT.pptxpptx_edit.py FILEfor text, charts, images, slide order, backgrounds, links, footers, and notespptx_from_template.py TEMPLATE.pptx OUTPUT.pptx --values VALUES.jsonpptx_render.py FILE --outdir DIR
Inspect the source deck before editing. Prefer a new output for structural changes. Validate by reading the resulting outline and notes. On workstation computers, render slides through LibreOffice and Poppler for visual QA; on computer computers, structured operations remain available but rendering may be unavailable. Check representative first, middle, and last slides rather than assuming a successful save preserved layout.
What ships with it
6 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.
- 7d ago First seen · 19 lines · 49 tokens per session scan A e7a42817e50e
powerpoint is a skill published in the GitHub repository EldanRing/qubicl (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 297 once invoked, about $0.0002 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 2026-08-31.
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