results-to-slides

results-to-slides is a skill for Claude Code from saidwivedi/research-skills. It costs 52 tokens per session (2,816 once invoked), scanned A, original, MIT.

A presentation-making tool for research experiments. It finds experiment files in Git repositories and output folders, collects images and measurements, and creates slide content plus an editable PowerPoint file.

In plain words
What is it for?
Use it to turn experiment outputs into research presentations with visuals, slide markdown, and editable PPTX files.
Why use it?
It removes the manual work of locating results, choosing visuals, and arranging them into slides. It also gives you a slide-by-slide script to approve before the presentation is generated.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool; positional $N argument.

Part of the results-to-slides plugin — 1 skill shipped together

Good fit Use it to turn experiment outputs into research presentations with visuals, slide markdown, and editable PPTX files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/saidwivedi/research-skills/results-to-slides
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 saidwivedi/research-skills --skill results-to-slides
Clone the repo
git clone --depth 1 https://github.com/saidwivedi/research-skills

Made for: Claude Code.

Or install results-to-slides, the plugin that ships this one along with the rest of its 1 skill.

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 results-to-slides

README.md
[![agentmods](https://agentmods.dev/badge/skills/saidwivedi/research-skills/results-to-slides/github.svg)](https://agentmods.dev/skills/saidwivedi/research-skills/results-to-slides)
Your own site
<a href="https://agentmods.dev/skills/saidwivedi/research-skills/results-to-slides"><img src="https://agentmods.dev/badge/skills/saidwivedi/research-skills/results-to-slides/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 results-to-slides

Your own site · 80×15
<a href="https://agentmods.dev/skills/saidwivedi/research-skills/results-to-slides"><img src="https://agentmods.dev/badge/skills/saidwivedi/research-skills/results-to-slides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,816 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.
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 $0.00052 $0.02816
Opus 5 $0.00026 $0.01408
Sonnet 5 $0.00010 $0.00563
Haiku 4.5 $0.00005 $0.00282

Measured 12d ago against content hash 86082a99fddc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

results-to-slides 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.

The scan reads SKILL.md. This mod also ships 3 executable files (generate_background.py, md_to_pptx.py, render_diagram.js), 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.

plugins/results-to-slides/skills/results-to-slides/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Results to Slides

Discover experiments, collect images/metrics, organize into slides. You provide the story — this skill handles the grunt work. Output: slide markdown + editable PPTX.

Core Rules

  1. State what was done and what the result was. Do not editorialize. Never use: "breakthrough", "key insight", "importantly". Just experiment + number.
  2. Every slide MUST have a visual. No text-only slides (except pure tables). If a concept has no experiment images, create a diagram. If no diagram makes sense, show dataset examples.
  3. Images first, text second. Plan images for each slide BEFORE writing bullets. If you can't find an image for a slide, restructure or merge it.

Parallel Execution

Maximize use of the Agent tool. Whenever you have 2+ independent tasks, launch parallel agents.

  • Phase 1: Launch agents in parallel to read CLAUDE.md, README.md, memory files
  • Phase 2 (biggest win): Launch separate agents for git log, output folders, scripts, media
  • Phase 3: Launch agents in parallel to read different experiment scripts and output folders
  • Phase 5+6: Sequential (markdown must be written before converting)

Important Paths

  • Skill directory: ${CLAUDE_SKILL_DIR}
  • Converter: ${CLAUDE_SKILL_DIR}/md_to_pptx.py
  • Backgrounds: ${CLAUDE_SKILL_DIR}/backgrounds/
  • Theme CSS: ${CLAUDE_SKILL_DIR}/theme.css
  • Slide element reference: slide_reference.md

Phase 0: Parse Arguments & Setup

The user provides: /results-to-slides START_DATE END_DATE

Arguments come as $ARGUMENTS containing two MMDD date strings (e.g., 0301 0308).

Parse the dates:

  • $0 = start date (MMDD), $1 = end date (MMDD)
  • Infer year from system date. End date is INCLUSIVE (use end_date + 1 for find bounds)

If no arguments provided, use AskUserQuestion:

  • header: "Date range"
  • question: "What date range? Use MMDD MMDD format (e.g., 0301 0308)."
  • options: ["Last week", "Last 2 weeks", "Last month"]

Read the full file on GitHub · 331 lines

Files

What ships with it

9 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. 12d ago First seen · 331 lines · 52 tokens per session scan A 86082a99fddc

Subscribe to this mod's changes

results-to-slides is a skill published in the GitHub repository saidwivedi/research-skills (40 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 2,816 once invoked, about $0.0003 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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