Agent skill

D Molecule Ray Tracer

by aipoch in aipoch/medical-research-skills

Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

MITAuto-check passedData & Analytics

Install D Molecule Ray Tracer

skills CLI
$ npx skills add aipoch/medical-research-skills --skill d-molecule-ray-tracer -a claude-code

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

GitHub CLI
$ gh skill install aipoch/medical-research-skills d-molecule-ray-tracer --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/aipoch/medical-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'scientific-skills/Data Analysis/3d-molecule-ray-tracer' .claude/skills/d-molecule-ray-tracer && 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/

Facts

Skill name
d-molecule-ray-tracer
GitHub stars
1.9k
Token cost
~2.8k tokens
SKILL.md length
1,149 words
Files
6 (incl. scripts)
Skills in repo
578
Repo updated
First seen
Licence
MIT

At a glance

Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

  • Works in 4 steps: Confirm the user input, output path, and… → Edit the in-file CONFIG block or… → Run python scripts/main.py with the… → …
  • Tasks that involve Data analysis
  • SKILL.md covers When to Use, Key Features, Dependencies and Example Usage, plus 18 more sections
  • Runs Python scripts from its folder; calls python

What it does

D Molecule Ray Tracer is an agent skill from aipoch/medical-research-skills. Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `3d-molecule-ray-tracer_audit_result_v2.json` and `scripts/main.py`).

It sits in Data & Analytics, covering Data analysis. The repository describes itself as: Hundreds of agent skills for medical research, including protocol design, data analysis, evidence insights, and academic writing. The licence is MIT.

When your agent uses it

  • Tasks that involve Data analysis

Example prompts

  • “/d-molecule-ray-tracer”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

What it can do on your machine

Read from SKILL.md and the folder at commit 686e09d. 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:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • pymol.org
    • cgl.ucsf.edu

    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

D Molecule Ray Tracer loads about 2.8k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,149 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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 aipoch/medical-research-skills at commit 686e09d, republished under its MIT licence (© aipoch). 1,149 words, ~2,805 tokens.

Download SKILL.mdSave it as .claude/skills/d-molecule-ray-tracer/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
d-molecule-ray-tracer
description
Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.
license
MIT
author
AIPOCH

Source: https://github.com/aipoch/medical-research-skills

3D Molecule Ray Tracer

Advanced molecular visualization tool that generates professional-grade rendering scripts with cinematic effects for creating publication-quality and cover-worthy molecular images.

When to Use

  • Use this skill when the task is to Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.
  • Use this skill for data analysis tasks that require explicit assumptions, bounded scope, and a reproducible output format.
  • Use this skill when you need a documented fallback path for missing inputs, execution errors, or partial evidence.

Key Features

See ## Features above for related details.

  • Scope-focused workflow aligned to: Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.
  • Packaged executable path(s): scripts/main.py.
  • Structured execution path designed to keep outputs consistent and reviewable.

Dependencies

Example Usage

See ## Usage above for related details.

bash
cd "20260318/scientific-skills/Data Analytics/3d-molecule-ray-tracer"
python -m py_compile scripts/main.py
python scripts/main.py --help

Example run plan:

  1. Confirm the user input, output path, and any required config values.
  2. Edit the in-file CONFIG block or documented parameters if the script uses fixed settings.
  3. Run python scripts/main.py with the validated inputs.
  4. Review the generated output and return the final artifact with any assumptions called out.

Implementation Details

See ## Workflow above for related details.

  • Execution model: validate the request, choose the packaged workflow, and produce a bounded deliverable.
  • Input controls: confirm the source files, scope limits, output format, and acceptance criteria before running any script.
  • Primary implementation surface: scripts/main.py.
  • Parameters to clarify first: input path, output path, scope filters, thresholds, and any domain-specific constraints.
  • Output discipline: keep results reproducible, identify assumptions explicitly, and avoid undocumented side effects.

Quick Check

Use this command to verify that the packaged script entry point can be parsed before deeper execution.

bash
python -m py_compile scripts/main.py

Audit-Ready Commands

Use these concrete commands for validation. They are intentionally self-contained and avoid placeholder paths.

bash
python -m py_compile scripts/main.py
python scripts/main.py --help

Workflow

  1. Confirm the user objective, required inputs, and non-negotiable constraints before doing detailed work.
  2. Validate that the request matches the documented scope and stop early if the task would require unsupported assumptions.
  3. Use the packaged script path or the documented reasoning path with only the inputs that are actually available.
  4. Return a structured result that separates assumptions, deliverables, risks, and unresolved items.
  5. If execution fails or inputs are incomplete, switch to the fallback path and state exactly what blocked full completion.

Features

  • Multi-Software Support: Generate scripts for PyMOL and UCSF ChimeraX
  • Photorealistic Rendering: Ray-tracing, depth of field, ambient occlusion
  • Cinematic Lighting: Studio, outdoor, and dramatic lighting presets
  • Publication Presets: Pre-configured settings for journals, covers, and presentations
  • Customizable Scenes: Fine control over camera, materials, and atmosphere

Usage

Basic Usage
text

# Generate PyMOL script with default settings
python scripts/main.py --pdb 1mbn

# Generate cover-quality render script
python scripts/main.py --pdb 1mbn --preset cover

# Generate ChimeraX script
python scripts/main.py --software chimerax --pdb 1abc --preset publication
Parameters
ParameterTypeDefaultRequiredDescription
--softwarestrpymolNoTarget rendering software (pymol/chimerax)
--pdbstrNoneYesPDB file path or 4-letter PDB ID
--presetstrstandardNoRendering preset (standard/cover/publication/cinematic)
--stylestrcartoonNoMolecular representation style
--resolutionintfrom presetNoOutput resolution in pixels
--bg-colorstrwhiteNoBackground color
--ao-onflagFalseNoEnable ambient occlusion
--shadowsflagFalseNoEnable shadow casting
--fogfloatfrom presetNoFog density (0-1)
--dof-onflagFalseNoEnable depth of field
--dof-focusstrcenterNoDOF focus point
--dof-aperturefloatfrom presetNoAperture size (higher = more blur)
--lightingstrfrom presetNoLighting preset
--outputstrautoNoOutput script filename
Advanced Usage
text

# Cover-quality render with depth of field
python scripts/main.py \
  --software pymol \
  --pdb 1mbn \
  --preset cover \
  --dof-on \
  --dof-focus "A:64" \
  --dof-aperture 2.0 \
  --style surface \
  --output cover_render.pml

# Cinematic 4K render
python scripts/main.py \
  --software pymol \
  --pdb complex.pdb \
  --preset cinematic \
  --resolution 3840 \
  --ao-on \
  --shadows \
  --lighting cinematic

Rendering Presets

PresetResolutionRay TraceDOFAOShadowsUse Case
Standard2400px✓✗✗✗Quick high-quality
Cover3000px✓✓✓✓Journal covers
Publication2400px✓✗✓✗Manuscript figures
Cinematic3840px✓✓✓✓Presentations

Supported Software

SoftwareBest ForFeatures
PyMOLTraditional rendering, ease of useRay tracing, shadows, AO
ChimeraXModern effects, large structuresPBR lighting, ambient occlusion, VR

Technical Difficulty: MEDIUM

⚠️ AI independent acceptance status: manual inspection required This skill requires:

  • Python 3.8+ environment
  • PyMOL 2.5+ or ChimeraX 1.5+ installed separately
  • Understanding of molecular visualization concepts
Required Python Packages
text
pip install -r requirements.txt
External Software

Risk Assessment

Risk IndicatorAssessmentLevel
Code ExecutionPython scripts executed locallyMedium
Network AccessFetches PDB structures from RCSB (optional)Low
File System AccessWrites rendering scriptsLow
Instruction TamperingStandard prompt guidelinesLow
Data ExposureNo sensitive data exposureLow
Show full SKILL.md (483 more words)Show less

Security Checklist

  • No hardcoded credentials or API keys
  • No unauthorized file system access (../)
  • Output does not expose sensitive information
  • Prompt injection protections in place
  • Input file paths validated
  • Output directory restricted to workspace
  • Script execution in sandboxed environment
  • Error messages sanitized
  • Dependencies audited

Prerequisites

text

# Python dependencies
pip install -r requirements.txt

# Install PyMOL or ChimeraX separately

Output Example

✓ Rendering script generated: /path/to/cover_render.pml

Configuration:
  Software: pymol
  Preset: cover
  Style: cartoon
  Resolution: 3000px
  Depth of Field: ON
  Ambient Occlusion: ON
  Shadows: ON
  Lighting: cinematic

To render:
  pymol cover_render.pml
  # Or within PyMOL:
  @ cover_render.pml

Evaluation Criteria

Success Metrics
  • Successfully generates valid PyMOL/ChimeraX scripts
  • Scripts execute without errors in target software
  • Output images meet quality standards
  • Handles edge cases gracefully
Test Cases
  1. Basic Functionality: Generate script for PDB ID → Valid script created
  2. File Input: Generate script from PDB file → Valid script created
  3. Preset Override: Custom parameters override preset → Correct settings applied
  4. Both Software: Generate for PyMOL and ChimeraX → Both scripts valid

Lifecycle Status

  • Current Stage: Draft
  • Next Review Date: 2026-03-15
  • Known Issues: None
  • Planned Improvements:
    • Blender integration
    • AI-assisted composition suggestions
    • Real-time preview mode

References

See references/ for:

  • PyMOL-specific rendering techniques
  • ChimeraX lighting documentation
  • Colorblind-friendly palettes
  • Journal submission guidelines

Limitations

  • Static Images Only: Generates scripts for still images, not animations
  • Software Dependency: Requires separately installed PyMOL or ChimeraX
  • Rendering Time: High-quality renders can take 10-30 minutes per image
  • Learning Curve: Advanced effects require understanding of photography concepts
  • File Sizes: High-res images can be 10-50 MB each
  • No Automatic Layout: Creates single images; figure assembly requires separate tools

💡 Tip: For creating multiple related figures, save your complete scene setup (lighting, camera, colors) as a PyMOL session file (.pse) or ChimeraX session (.cxs), then modify only the specific elements needed for each figure. This ensures consistency across figure panels.

Output Requirements

Every final response should make these items explicit when they are relevant:

  • Objective or requested deliverable
  • Inputs used and assumptions introduced
  • Workflow or decision path
  • Core result, recommendation, or artifact
  • Constraints, risks, caveats, or validation needs
  • Unresolved items and next-step checks

Error Handling

  • If required inputs are missing, state exactly which fields are missing and request only the minimum additional information.
  • If the task goes outside the documented scope, stop instead of guessing or silently widening the assignment.
  • If scripts/main.py fails, report the failure point, summarize what still can be completed safely, and provide a manual fallback.
  • Do not fabricate files, citations, data, search results, or execution outcomes.

Input Validation

This skill accepts requests that match the documented purpose of 3d-molecule-ray-tracer and include enough context to complete the workflow safely.

Do not continue the workflow when the request is out of scope, missing a critical input, or would require unsupported assumptions. Instead respond:

3d-molecule-ray-tracer only handles its documented workflow. Please provide the missing required inputs or switch to a more suitable skill.

Response Template

Use the following fixed structure for non-trivial requests:

  1. Objective
  2. Inputs Received
  3. Assumptions
  4. Workflow
  5. Deliverable
  6. Risks and Limits
  7. Next Checks

If the request is simple, you may compress the structure, but still keep assumptions and limits explicit when they affect correctness.

© aipoch, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in scientific-skills/Data Analysis/3d-molecule-ray-tracer of aipoch/medical-research-skills.

  • SKILL.md
  • 3d-molecule-ray-tracer_audit_result_v2.json
  • cover_render.pml
  • publication_render.cxc
  • scripts/main.py
  • standard_render.pml

Open the folder on GitHubat commit 686e09d

Compare with similar skills

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Questions about D Molecule Ray Tracer

What does D Molecule Ray Tracer do?

Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX. D Molecule Ray Tracer is an agent skill from aipoch/medical-research-skills. Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.

When should I use D Molecule Ray Tracer?

D Molecule Ray Tracer fits situations like: tasks that involve Data analysis.

How do I install D Molecule Ray Tracer in Claude Code?

Run `npx skills add aipoch/medical-research-skills --skill d-molecule-ray-tracer -a claude-code`. Or copy the skill folder (scientific-skills/Data Analysis/3d-molecule-ray-tracer in aipoch/medical-research-skills) into .claude/skills/d-molecule-ray-tracer in your project. Claude Code loads it when a task matches its description.

How do I install D Molecule Ray Tracer in Codex?

Run `npx skills add aipoch/medical-research-skills --skill d-molecule-ray-tracer -a codex`. Or copy the skill folder (scientific-skills/Data Analysis/3d-molecule-ray-tracer in aipoch/medical-research-skills) into .agents/skills/d-molecule-ray-tracer in your project. Codex loads it when a task matches its description.

Can I use D Molecule Ray Tracer 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 aipoch/medical-research-skills --skill d-molecule-ray-tracer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/d-molecule-ray-tracer, .gemini/skills/d-molecule-ray-tracer, .github/skills/d-molecule-ray-tracer and .opencode/skills/d-molecule-ray-tracer in your project.

What does D Molecule Ray Tracer need to run?

Going by SKILL.md and its folder, D Molecule Ray Tracer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does D Molecule Ray Tracer access the network?

SKILL.md names 2 domains. As links in the text: pymol.org and cgl.ucsf.edu. This is read from the text; nothing was executed.

Is D Molecule Ray Tracer 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 D Molecule Ray Tracer use?

D Molecule Ray Tracer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does D Molecule Ray Tracer use?

About 2.8k tokens (SKILL.md is roughly 11k 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 D Molecule Ray Tracer?

Skills that share tags, products or a category with D Molecule Ray Tracer: Exploratory Data Analysis (spacering-net/codeg, 3.9k stars), Statistical Data Analysis (lingzhi227/agent-research-skills, 390 stars), Q-EDA Exploratory Analysis (TyrealQ/q-skills, 108 stars) and PyMC Bayesian Modeling (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains D Molecule Ray Tracer?

aipoch (a GitHub organization) maintains it in aipoch/medical-research-skills, which has 1,937 GitHub stars. The repository holds 578 skills in this directory. The repository was last updated on September 17, 2026.

Source: aipoch/medical-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.