Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add DaRL-GenAI/instructional_agents-skills/plugin install instructional-agentsWrote 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/darl-genai/instructional_agents-skills/latex-to-pptx)<a href="https://agentmods.dev/skills/darl-genai/instructional_agents-skills/latex-to-pptx"><img src="https://agentmods.dev/badge/skills/darl-genai/instructional_agents-skills/latex-to-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/darl-genai/instructional_agents-skills/latex-to-pptx"><img src="https://agentmods.dev/badge/skills/darl-genai/instructional_agents-skills/latex-to-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 | $0.00083 | $0.00776 |
| Opus 5 | $0.00042 | $0.00388 |
| Sonnet 5 | $0.00017 | $0.00155 |
| Haiku 4.5 | $0.00008 | $0.00078 |
Grade A, and why
latex-to-pptx scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LaTeX → PPTX Conversion
Converts a Beamer .tex file into a native, editable PowerPoint deck using
the instructional_agents parser plus pptxgenjs.
When to invoke this skill
- User has a
.texfile (Beamer or Beamer-compatible) and wants a.pptx - User asks to "export LaTeX slides to PowerPoint / Keynote"
- User wants to edit generated slides in PowerPoint (vs. getting a static PDF)
Do not invoke this for:
- Generating new slides from scratch → use
course-generate - Compiling LaTeX to PDF → use
latex-compile
Prerequisites
Before running, verify:
- Python 3.11+ with
instructional-agentsinstalled:pip show instructional-agents || pip install instructional-agents - Node.js with
pptxgenjs:node -e "require('pptxgenjs')" 2>/dev/null || npm install -g pptxgenjs
If either is missing, tell the user and offer to install.
Usage
Run the wrapper script with the input .tex path. The .pptx is written
next to the source unless --output is given.
python3 "${CLAUDE_PLUGIN_ROOT}/skills/latex-to-pptx/scripts/convert.py" \
<input.tex> [--output <output.pptx>]
Arguments
| Arg | Required | Description |
|---|---|---|
<input.tex> |
yes | Path to the Beamer .tex file |
--output <path> |
no | Output .pptx path (default: same dir, same stem) |
Example
python3 "${CLAUDE_PLUGIN_ROOT}/skills/latex-to-pptx/scripts/convert.py" \
~/courses/ml/chapter1.tex
# → ~/courses/ml/chapter1.pptx
Supported LaTeX constructs
itemize, enumerate, block, alertblock, code listings (lstlisting),
inline & display math, columns, tikz (rendered as placeholder boxes).
Output
An editable .pptx — every text object, bullet list, and code block is
a native PowerPoint shape, not an embedded image. Safe to edit in PowerPoint,
Keynote, or Google Slides.
Troubleshooting
- "pptxgenjs not found" →
npm install -g pptxgenjs - Math doesn't render →
pptxgenjsdoesn't support native LaTeX math; the skill emits math as plain text. For math-heavy decks, keep the PDF. \include/\input→ flatten first withlatexpand input.tex > flat.texthen run the skill onflat.tex.
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 · 84 lines · 83 tokens per session scan A 5949ef76e3e2
latex-to-pptx is a skill published in the GitHub repository DaRL-GenAI/instructional_agents-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 83 tokens to every session and 776 once invoked, about $0.0004 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.
Other skills, from other repositories
okf-frontmatter
Maintain openInvest's docs (docs/wiki chapters + docs/wiki/adr) under Google's Open Knowledge Format (OKF). Two jobs. (1) Teach agents to maintain docs the OKF way — every doc carries a small YAML frontmatter block as the single source of truth (type, title, tags, intent, schemasource, documents); schema details link…
watch
Watch live IDX turnover and order books for unusual activity — value surges, auto-reject approach, one-sided depth, walls appearing or withdrawn, quiet stocks waking up, UMA flags — plus delayed print-by-print attribution and end-of-day broker context. Use when the user runs /watch, or asks what is trading right now…
stockbit-status
Check whether the Stockbit session is still valid — main session expiry, whether trading credentials are stored, and the current trading mode. Use when the user asks "am I still logged in to Stockbit", "has my session expired", "is trading on", or when a stockbit MCP tool starts failing with an auth error.
paper-fetch
Use whenever the user wants to obtain, download, or fetch a paper's PDF — given a DOI, an arXiv id, a paper title, a citation, or a list of DOIs. Trigger on phrases like "download this paper", "find the PDF for [DOI]", "grab me the [Nature/bioRxiv/arXiv] paper on X", "get the open-access version", "I need this…
stockbit-auth
Log in to Stockbit and capture the session for this server — opens the browser login flow and verifies the token was stored. Use when the user asks to log in or re-authenticate to Stockbit, or after a status check reports the session expired, HTTP 401, or logged out.
recursive-decomposition
Decompose dense codebase-wide, multi-document, PDF, and aggregation work even when the input fits the context window, following Recursive Language Models (Zhang, Kraska, Khattab, 2025). Use when the user asks to analyse all files, a whole repo, all docs, large PDFs, or to aggregate or multi-hop across scattered…