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 ericgandrade/claude-superskills --skill pptx-translatorgit clone --depth 1 https://github.com/ericgandrade/claude-superskillsWrote 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/ericgandrade/claude-superskills/pptx-translator)<a href="https://agentmods.dev/skills/ericgandrade/claude-superskills/pptx-translator"><img src="https://agentmods.dev/badge/skills/ericgandrade/claude-superskills/pptx-translator/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/ericgandrade/claude-superskills/pptx-translator"><img src="https://agentmods.dev/badge/skills/ericgandrade/claude-superskills/pptx-translator.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 | $0.00057 | $0.09316 |
| Opus 5.5 | $0.00023 | $0.03726 |
| Sonnet 5.5 | $0.00011 | $0.01863 |
| Haiku 4.5 | $0.00006 | $0.00932 |
Grade A, and why
pptx-translator 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 1mo 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 — 838 lines — stays where its author put it; the contents beside it link to each section on GitHub.
pptx-translator
Purpose
This skill translates PowerPoint presentations (.pptx) between any two languages while preserving the original formatting, layout, fonts, and structure. It uses parallel sub-agent translation (one agent per slide), per-slide validation with automatic retry, recursive group-shape traversal, and a single fast write-back pass.
When to Use This Skill
- User provides a .pptx file and wants it translated to another language
- User needs to translate a PowerPoint from Portuguese to English or vice versa
- User needs to translate slides between any language pair (Spanish, French, German, Japanese, etc.)
- User wants to translate speaker/presenter notes alongside slide content
- User asks to "translate", "traduzir", or "convert language" of a PowerPoint or .pptx file
Step 0: Dependency Setup (Silent)
Check dependencies silently. Do NOT ask for confirmation — install automatically with --user and inform the user only of what was installed.
python3 -c "import pptx" 2>/dev/null || pip install --user python-pptx -q && echo "Installed python-pptx"
If installation fails (e.g. no pip, restricted environment), ask the user once: "python-pptx is required. Preferred install method: (a) pip install --user, (b) existing venv path, (c) manual?"
Step 1: Single Consolidated Confirmation
Infer all parameters from the user's request. Ask only for what is truly ambiguous. Then display one confirmation box and proceed immediately after the user confirms. Do NOT ask again.
Parameters to infer or confirm:
- Source file path — validate it exists and has
.pptxextension - Source language — infer from user's request (e.g. "translate from Portuguese"); if not stated, the AI classifier sub-agent (Step 2) will determine it automatically
- Target language — infer from request; ask if not specified
- Backup mode — default Safe (output saved as new file); YOLO only if user explicitly says so
- Speaker notes — default Yes (translate alongside slides)
- Output filename — resolved interactively in Step 1.5 (after this confirmation box); default is
{stem}_{target_lang_code}.pptx
What ships with it
3 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.
- 1mo ago First seen · 838 lines · 57 tokens per session scan A 5503cd2ebd6f
pptx-translator is a skill published in the GitHub repository ericgandrade/claude-superskills (84 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 9,316 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 2026-08-30.
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