Oh My PPT is a local-first desktop application that uses AI to create, edit, present, and export editable HTML-based slide presentations. It is for people making presentations, lessons, stories, reports, or pitches who want to describe their content and then adjust the resulting pages, visuals, animations, and layouts.
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 arcsin1/oh-my-ppt --skill oh-my-ppt-source-readinggit clone --depth 1 https://github.com/arcsin1/oh-my-pptWrote 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/arcsin1/oh-my-ppt/oh-my-ppt-source-reading)<a href="https://agentmods.dev/skills/arcsin1/oh-my-ppt/oh-my-ppt-source-reading"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/oh-my-ppt-source-reading/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/arcsin1/oh-my-ppt/oh-my-ppt-source-reading"><img src="https://agentmods.dev/badge/skills/arcsin1/oh-my-ppt/oh-my-ppt-source-reading.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 | $0.00027 | $0.01374 |
| Opus 5 | $0.00014 | $0.00687 |
| Sonnet 5 | $0.00005 | $0.00275 |
| Haiku 4.5 | $0.00003 | $0.00137 |
Grade A, and why
oh-my-ppt-source-reading 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oh My PPT Source Reading
Boundary
Use this skill only when the host prompt already provides source documents or source snippets.
Do not discover, infer, or guess source document paths. Use only the sourceDocumentPaths explicitly provided by the host prompt. If no source document path is provided, do not scan the project looking for one.
When to use
sourceDocumentPathsare present.- Retrieved source snippets are present.
- The task asks to preserve facts, metrics, terminology, conclusions, or page points from a reference document.
- A slide outline appears to come from a parsed reference document.
When not to use
- No source document path or source snippet is provided.
- The task is a pure visual/style edit that does not use source facts.
- The task is only about layout, animation, or chart mechanics with already supplied data.
Reading workflow
- Treat retrieved snippets as an index into the source, not as final evidence.
- Extract search terms from the current slide title, content points, user instruction, snippets, and any known entities/metrics.
- Use the DeepAgents filesystem tool
grep(pattern, path, glob)inside the providedsourceDocumentPathsto locate relevant headings, paragraphs, tables, dates, metrics, entities, and terminology.patternis a literal string, not a shell regex; callgrepmultiple times for multiple search terms. - Use the DeepAgents filesystem tool
glob(pattern, path)only if the provided path points to a directory or the host prompt explicitly says multiple matching source files may exist. - Use
read_fileonly on targeted sections or line ranges found by snippets/grep. Do not read an entire long document into context at once. - If the initial grep/read did not yield enough source-grounded evidence, refine search terms and repeat grep -> targeted read. Try synonyms, broader or narrower scope, adjacent section headings, and known entities/metrics.
- Base every exact fact, metric, date, name, and quoted conclusion on the inspected snippets and source passages — then build the slide into a full argument around them (analytical structure, reading conclusion), not just the bare evidence.
- If an exact fact/metric/date/name is still missing after reasonable attempts, do not invent it — omit that specific claim or state it qualitatively. Do not leave the page sparse: expand it with analysis derived from the inspected material instead (see "When the inspected material is thin").
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 · 87 lines · 27 tokens per session scan A e6521fb18210
oh-my-ppt-source-reading is a skill published in the GitHub repository arcsin1/oh-my-ppt (1,949 stars, last pushed 7d ago), licensed Apache-2.0. It adds 27 tokens to every session and 1,374 once invoked, about $0.0001 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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