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 shaharsha/claude-skills --skill narrating-pptxgit clone --depth 1 https://github.com/shaharsha/claude-skillsWrote 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/shaharsha/claude-skills/narrating-pptx)<a href="https://agentmods.dev/skills/shaharsha/claude-skills/narrating-pptx"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/narrating-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/shaharsha/claude-skills/narrating-pptx"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/narrating-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 | $0.00121 | $0.03457 |
| Opus 5 | $0.00060 | $0.01729 |
| Sonnet 5 | $0.00024 | $0.00691 |
| Haiku 4.5 | $0.00012 | $0.00346 |
Grade A, and why
narrating-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 11d 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 — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Narrating PPTX (ElevenLabs → per-slide autoplay)
Overview
Turn any pptx into a self-presenting deck: write presenter-style narration scripts (any language), generate speech via ElevenLabs eleven_v3, embed one clip per slide, and make each clip autoplay on slide entry.
The iron rule (paid for in blood): NEVER hand-write <p:timing> autoplay XML. Hand-rolled timing XML corrupts the file — PowerPoint shows "found a problem… Repair". The only reliable method is letting real PowerPoint author the XML itself via AppleScript play-settings (scripts/set_autoplay.sh). If you're tempted to inject timing XML "just this once" — that's the exact failure this skill exists to prevent.
Requirements: macOS + Microsoft PowerPoint installed (for the autoplay step), python-pptx, ELEVENLABS_API_KEY env var, an ElevenLabs voice ID from the user.
Pipeline (5 steps, in order)
1. Write the narration scripts → scripts.json
{"01": "text…", "02": "text…", …} — keys are 1-based slide positions, zero-padded.
Language: exactly what the user asks for. Hebrew, English, or mixed. For Hebrew (or any non-English), write like a native presenter in that language who naturally keeps technical terms in English (e.g., Israeli hi-tech register: "ה-agent מנתח את הדאטה וכותב manifest"). Don't translate terms the audience uses in English.
Depth: the voice IS the presenter, not a caption reader. Target ~600–900 chars per slide (≈45–75 s). Each script: open with context → work through what the slide actually shows → explain the why → bridge to the next slide. Describe position only when the viewer needs it to follow. On a diagram, "the dashed box inside" is orientation they cannot get otherwise; over three cards of text, "on the left… in the middle… on the right" is audio-description rather than presenting (see self-presenting-decks). Short caption-style scripts (~200 chars) feel like labels, not a presentation — users reject them.
Audio tags = the "Enhance" feature. ElevenLabs' UI "Enhance" button just uses an LLM to add tags — there is no Enhance API. You are that LLM: weave tags into the script. Tags stay in English brackets even inside Hebrew/other-language text, placed at the emotional beat they modify.
What ships with it
5 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.
- 11d ago First seen · 164 lines · 121 tokens per session scan A efc2ff49dc90
narrating-pptx is a skill published in the GitHub repository shaharsha/claude-skills (5 stars, last pushed 13d ago), licensed MIT. It adds 121 tokens to every session and 3,457 once invoked, about $0.0006 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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