research-presentation

research-presentation is a skill for Codex from Yila-AI/awesome-research-skills. It costs 97 tokens per session (2,160 once invoked), scanned A, original, Apache-2.0.

A workflow for turning research papers, notes, data, or manuscripts into presentations. It creates editable slides while keeping the original evidence and meaning clear to an audience.

In plain words
What is it for?
Use it for conference talks, seminars, journal clubs, lab meetings, thesis defenses, and similar research presentations. It can create slides from source documents or revise an existing PowerPoint file.
Why use it?
It reduces the work of deciding what belongs on each slide and helps prevent unsupported claims or unreadable figures. It also includes checks of the finished presentation.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit Use it for conference talks, seminars, journal clubs, lab meetings, thesis defenses, and similar research presentations. It can create slides from source documents or revise an existing PowerPoint file.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yila-ai/awesome-research-skills/research-presentation
Install

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.

Any agent
npx skills add Yila-AI/awesome-research-skills --skill research-presentation
Clone the repo
git clone --depth 1 https://github.com/Yila-AI/awesome-research-skills

Made for: Codex.

Wrote 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.

agentmods badge for research-presentation

README.md
[![agentmods](https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/research-presentation/github.svg)](https://agentmods.dev/skills/yila-ai/awesome-research-skills/research-presentation)
Your own site
<a href="https://agentmods.dev/skills/yila-ai/awesome-research-skills/research-presentation"><img src="https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/research-presentation/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.

agentmods 80×15 button for research-presentation

Your own site · 80×15
<a href="https://agentmods.dev/skills/yila-ai/awesome-research-skills/research-presentation"><img src="https://agentmods.dev/badge/skills/yila-ai/awesome-research-skills/research-presentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,160 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00097 $0.02160
Opus 5 $0.00048 $0.01080
Sonnet 5 $0.00019 $0.00432
Haiku 4.5 $0.00010 $0.00216

Measured 7d ago against content hash 6326448e157b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-presentation 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/audit_pptx.py, scripts/render_slides.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/research-presentation/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Presentation

Turn a paper or research corpus into a presentation that an audience can follow, verify, and discuss. The core promise is paper to slides without losing the evidence: preserve source meaning, choose a cumulative narrative, make figures legible, keep claims bounded, and deliver an editable deck with notes and a rendered QA trail.

This Skill owns the workflow from source inspection through final slide QA. It does not replace the author's scientific judgment, invent results, or silently strengthen a claim.

Route the request

Choose the narrowest route that satisfies the request:

Input / request Route
One or more PDFs, papers, or manuscripts Full paper-to-slides workflow below; read references/paper-extraction.md first
Research notes, tables, figures, or a protocol Evidence-led presentation workflow; mark unsupported fields instead of filling them
Existing PPTX to revise Inspect the source deck, preserve its visual contract when requested, then run the same render/QA loop
A presentation brief with no source document Skip extraction, but still create a claim ledger, narrative outline, source/asset notes, and visual QA
“Make it prettier” or “change the style” Diagnose the current deck before editing; preserve scientific content and citations

Before building, infer one sentence:

By the end, [audience] should [understand/decide/discuss] because [central evidence-backed takeaway].

Ask at most one blocking question when a missing choice would change the deck materially (for example, defense versus journal club). Otherwise make a conservative assumption and state it in the run log.

Non-negotiable contracts

  1. Evidence first. Read the source before planning the slide sequence. Never use a figure, number, table cell, citation, mechanism, or limitation that is not traceable to the supplied source or an explicitly cited external source.
  2. Bounded claims. Preserve population, setting, time frame, comparison, uncertainty, and claim strength. Distinguish author conclusions from presenter interpretation and label the latter.
  3. One narrative job per slide. Use takeaway titles that answer the question raised by the previous slide; do not build an inventory of paper sections.
  4. One visual anchor per content slide. Use a readable original figure/table, a meaningful metric, or a simple source-faithful diagram. Avoid decorative diagrams and generic stock imagery.
  5. Readable before complete. Start body text at 12 pt (11 pt floor), titles at 28–32 pt, cover title at 40–56 pt, and keep sub-11-pt characters below 10% of the deck. Add a slide or cut copy instead of shrinking type.
  6. Source anchors everywhere. Every content slide carries a visible anchor such as Fig. 2, Table 1, §3.2, or p. 7; speaker notes include a [Sources] block for claims and assets.
  7. No silent raster-only handoff. Prefer native/editable text, tables, shapes, and charts. Use source figures as images when needed, but preserve their aspect ratio and provide the original asset or source map.
  8. Render before delivery. Render every final slide, inspect the full-size pages, run overflow/coverage/font checks, and fix unintended overlap, clipping, wrapping, stretched figures, and empty placeholders.

Read the full file on GitHub · 152 lines

Files

What ships with it

10 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.

Changes

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.

  1. 7d ago Changed · +1 lines 6326448e157b
  2. 12d ago First seen · 151 lines · 97 tokens per session scan A e2ba7cd927af

Subscribe to this mod's changes

research-presentation is a skill published in the GitHub repository Yila-AI/awesome-research-skills (119 stars, last pushed 7d ago), licensed Apache-2.0. It adds 97 tokens to every session and 2,160 once invoked, about $0.0005 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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