Agent skill

Scientific Report PDF

Generate a structured scientific PDF report from a JSON description.

Apache-2.0Auto-check passedDocuments & Office

Install Scientific Report PDF

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/scientific-report-pdf .claude/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .claude/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/scientific-report-pdf .agents/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .agents/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/scientific-report-pdf .cursor/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .cursor/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/lamm-mit/scienceclaw.git --path skills/scientific-report-pdf

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/scientific-report-pdf .gemini/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .gemini/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/scientific-report-pdf .github/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .github/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install lamm-mit/scienceclaw scientific-report-pdf --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/lamm-mit/scienceclaw.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/scientific-report-pdf .opencode/skills/scientific-report-pdf && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "scientific-report-pdf" agent skill from https://github.com/lamm-mit/scienceclaw/tree/main/skills/scientific-report-pdf into .opencode/skills/scientific-report-pdf/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scientific-report-pdf", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: scientific-report-pdf
GitHub stars: 244
Token cost: ~975 tokens
SKILL.md length: 124 words
Files: 2 (incl. scripts)
Skills in repo: 86
Repo updated: Aug 21, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Generate a structured scientific PDF report from a JSON description.

Tasks that involve PDF
SKILL.md covers Usage, Input JSON Structure, Section Types and Panel Types, plus 2 more sections
Runs Python scripts from its folder; calls python3
Tasks that involve LaTeX

What it does

Scientific Report PDF is an agent skill from lamm-mit/scienceclaw. Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/scientific_report_pdf.py`).

It sits in Documents & Office, covering PDF and LaTeX. It works with pypdf and LaTeX. The licence is Apache-2.0.

When your agent uses it

Tasks that involve PDF
Tasks that involve LaTeX

Example prompts

“/scientific-report-pdf”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ab9aba1. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Scientific Report PDF loads about 975 tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 124 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~103
When it runs · the whole SKILL.md, loaded when a task matches: ~975

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from lamm-mit/scienceclaw at commit ab9aba1, republished under its Apache-2.0 licence (© lamm-mit). 124 words, ~975 tokens.

Download SKILL.mdSave it as .claude/skills/scientific-report-pdf/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: scientific-report-pdf
description: Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.
metadata.domain: visualization
metadata.dependencies: reportlab, matplotlib, pillow

scientific-report-pdf

Generates a structured scientific PDF report from a JSON input file. No LaTeX or pandoc required — uses reportlab for pure-Python PDF rendering.

Usage

bash

python3 skills/scientific-report-pdf/scripts/scientific_report_pdf.py --input-json report.json
python3 skills/scientific-report-pdf/scripts/scientific_report_pdf.py --input-json report.json --output-dir /tmp/
python3 skills/scientific-report-pdf/scripts/scientific_report_pdf.py --describe-schema

Input JSON Structure

json

{
  "title": "The Sound of Molecules",
  "authors": ["ReportAgent", "MusicAnalyst"],
  "subtitle": "CS1 Investigation | LAMM Research Platform",
  "abstract": "We present ...",
  "sections": [
    {"type": "heading", "level": 1, "text": "1. Introduction"},
    {"type": "text", "text": "Sonification has been applied to ..."},
    {
      "type": "table",
      "label": "Table 1",
      "caption": "RDKit descriptors for 16 compounds.",
      "headers": ["Compound", "MW", "LogP"],
      "rows": [["aspirin", "180.2", "1.19"], ["ibuprofen", "206.3", "3.72"]]
    },
    {
      "type": "figure",
      "label": "Figure 1",
      "caption": "Era-match heatmap.",
      "path": "/path/to/era_match.png"
    },
    {
      "type": "panel",
      "label": "Figure 2",
      "caption": "Mean similarity by drug class.",
      "panel_type": "bar",
      "figsize": [10, 5],
      "data": {
        "categories": ["NSAID", "Opioid", "Stimulant"],
        "series": [{"name": "Bach", "values": [0.4, 0.7, 0.3], "color": "#c0392b"}],
        "xlabel": "Drug class",
        "ylabel": "Mean cosine similarity",
        "title": "Harmonic Affinity by Drug Class"
      }
    },
    {"type": "pagebreak"},
    {
      "type": "panel",
      "label": "Figure 3",
      "caption": "Cosine similarity heatmap.",
      "panel_type": "heatmap",
      "data": {
        "values": [[0.8, 0.3], [0.2, 0.9]],
        "row_labels": ["aspirin", "fentanyl"],
        "col_labels": ["Bach", "Beethoven"],
        "cmap": "YlOrRd",
        "annotate": true
      }
    }
  ],
  "metadata": {
    "investigation_id": "cs1_sound_of_molecules",
    "platform": "LAMM Infinite",
    "agents": ["SoundAgent1", "MusicAnalyst", "ReportAgent"]
  }
}

Section Types

type	Required fields	Description
`heading`	`level` (1-3), `text`	Section heading
`text`	`text`	Paragraph body
`table`	`headers`, `rows`	Data table with optional `label`, `caption`, `highlight_col`
`figure`	`path`	Embed existing PNG/JPG
`panel`	`panel_type`, `data`	Auto-generate matplotlib figure
`pagebreak`	—	Force page break
`hr`	—	Horizontal rule

Panel Types

panel_type	Required data fields
`heatmap`	`values` (2D array), `row_labels`, `col_labels`
`matrix`	same as heatmap
`bar`	`categories`, `series` (list of `{name, values, color}`)
`grouped_bar`	same as bar
`scatter`	`x`, `y`
`line`	`x`, `y`

Output

json

{
  "pdf_path": "/tmp/The_Sound_of_Molecules_20260403_001234.pdf",
  "n_pages": 8,
  "n_figures": 4,
  "size_kb": 512
}

Dependencies

reportlab — PDF generation
matplotlib — auto-generated panel figures
pillow — RGBA→RGB image conversion
pypdf (optional) — page count in output

Files

SKILL.md and 1 other file (scripts) in skills/scientific-report-pdf of lamm-mit/scienceclaw.

SKILL.md
scripts/scientific_report_pdf.py

Open the folder on GitHubat commit ab9aba1

Compare with similar skills

Scientific Report PDF next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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MineruNebutra/MinerU-Skill	122	—	~504	Automated safety check: Pass	MIT	15 days ago
Lecture To Mdysyecust/lecture-to-notes	273	—	~3.9k	Automated safety check: Pass	Custom licence	6 days ago

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Questions about Scientific Report PDF

What does Scientific Report PDF do?

Generate a structured scientific PDF report from a JSON description. Scientific Report PDF is an agent skill from lamm-mit/scienceclaw. Generate a structured scientific PDF report from a JSON description.

When should I use Scientific Report PDF?

Scientific Report PDF fits situations like: tasks that involve PDF; tasks that involve LaTeX.

How do I install Scientific Report PDF in Claude Code?

Run `npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a claude-code`. Or copy the skill folder (skills/scientific-report-pdf in lamm-mit/scienceclaw) into .claude/skills/scientific-report-pdf in your project. Claude Code loads it when a task matches its description.

How do I install Scientific Report PDF in Codex?

Run `npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a codex`. Or copy the skill folder (skills/scientific-report-pdf in lamm-mit/scienceclaw) into .agents/skills/scientific-report-pdf in your project. Codex loads it when a task matches its description.

Can I use Scientific Report PDF in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lamm-mit/scienceclaw --skill scientific-report-pdf -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scientific-report-pdf, .gemini/skills/scientific-report-pdf, .github/skills/scientific-report-pdf and .opencode/skills/scientific-report-pdf in your project.

What does Scientific Report PDF need to run?

Going by SKILL.md and its folder, Scientific Report PDF needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Scientific Report PDF access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Scientific Report PDF safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Scientific Report PDF use?

Scientific Report PDF is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Scientific Report PDF use?

About 975 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Scientific Report PDF?

Skills that share tags, products or a category with Scientific Report PDF: PDF (flonat/flonat-research, 146 stars), Lov Any2pdf (lovstudio/any2pdf, 211 stars), AI Review Skill (NeuroDong/Ai-Review, 626 stars) and Mineru (Nebutra/MinerU-Skill, 122 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scientific Report PDF?

lamm-mit (a GitHub user) maintains it in lamm-mit/scienceclaw, which has 244 GitHub stars. The repository holds 86 skills in this directory. The repository was last updated on August 21, 2026.

Source: lamm-mit/scienceclaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Scientific Report PDF

Install Scientific Report PDF

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

scientific-report-pdf

Usage

Input JSON Structure

Section Types

Panel Types

Output

Dependencies

Files

Compare with similar skills

Similar skills

PDF

Lov Any2pdf

AI Review Skill

Mineru

Lecture To Md

Paper Compile

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Questions about Scientific Report PDF

Install Scientific Report PDF

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

scientific-report-pdf

Usage

Input JSON Structure

Section Types

Panel Types

Output

Dependencies

Files

Compare with similar skills

Similar skills

More from lamm-mit/scienceclaw

Related

Questions about Scientific Report PDF