Agent skill

Specialized Molecular Tasks

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

Use this Chemprop sub-skill for reaction SMILES, reaction-plus-molecule multicomponent data, atom/bond targets, constrained MolAtomBond prediction, spectral tasks, and specialized descriptor/feature…

Custom licenceAuto-check passedResearch & Science

Install Specialized Molecular Tasks

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill specialized-molecular-tasks -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill specialized-molecular-tasks --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/chemprop/sub-skills/specialized-molecular-tasks .claude/skills/specialized-molecular-tasks && 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
specialized-molecular-tasks
GitHub stars
331
Token cost
~1.2k tokens
SKILL.md length
414 words
Files
6 (incl. scripts, references)
Skills in repo
157
Repo updated
First seen
Licence
Custom licence

At a glance

Use this Chemprop sub-skill for reaction SMILES, reaction-plus-molecule multicomponent data, atom/bond targets, constrained MolAtomBond prediction, spectral tasks, and specialized descriptor/feature…

  • Tasks that involve Drug discovery and cheminformatics
  • SKILL.md covers Route Here For, Route Elsewhere, Quick Starts and References, plus 1 more section
  • Runs Python scripts from its folder

What it does

Specialized Molecular Tasks is an agent skill from VectorSpaceLab/AREX-Skill. Use this Chemprop sub-skill for reaction SMILES, reaction-plus-molecule multicomponent data, atom/bond targets, constrained MolAtomBond prediction, spectral tasks, and specialized descriptor/feature schemas.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/mol-atom-bond.md`, `references/reaction-multicomponent.md` and `references/spectral-and-special-tasks.md`).

It sits in Research & Science, covering Drug discovery and cheminformatics. It works with Python. The repository describes itself as: A Skill Library for Automated Machine Learning.

When your agent uses it

  • Tasks that involve Drug discovery and cheminformatics

Example prompts

  • “/specialized-molecular-tasks”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit ac3fe1a. 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.

    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

Specialized Molecular Tasks loads about 1.2k tokens when it runs, and up to ~6.3k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 414 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.3k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 414 words (~1,209 tokens).

“Use this sub-skill when a Chemprop request needs specialized molecular schemas or flags rather than ordinary molecule-level training/prediction.”

— opening of SKILL.md by VectorSpaceLab, Custom licence
name
specialized-molecular-tasks
disable-model-invocation
true
metadata.disco-role
operating
license
NOASSERTION

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/chemprop/sub-skills/specialized-molecular-tasks of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/mol-atom-bond.md
  • references/reaction-multicomponent.md
  • references/spectral-and-special-tasks.md
  • references/troubleshooting.md
  • scripts/chemprop_specialized_command_builder.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Specialized Molecular Tasks 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.

Specialized Molecular Tasks compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Specialized Molecular Tasks this skillVectorSpaceLab/AREX-Skill331—~1.2kAutomated safety check: PassCustom licence
DiffDock Molecular DockingK-Dense-AI/scientific-agent-skills48k1 repos~3kAutomated safety check: NotesMIT
Edu Chem Reactionwy51ai/edulab1.4k—~1.2kAutomated safety check: PassApache-2.0
Rowanlamm-mit/scienceclaw2464 repos~3.1kAutomated safety check: WarnProprietary
Coot Rdkitpemsley/coot168—~981Automated safety check: PassGPL-3.0
RDKit Cheminformaticsdavila7/claude-code-templates33k14 repos~5kAutomated safety check: PassMIT

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Works with

Questions about Specialized Molecular Tasks

What does Specialized Molecular Tasks do?

Use this Chemprop sub-skill for reaction SMILES, reaction-plus-molecule multicomponent data, atom/bond targets, constrained MolAtomBond prediction, spectral tasks, and specialized descriptor/feature…. Specialized Molecular Tasks is an agent skill from VectorSpaceLab/AREX-Skill. Use this Chemprop sub-skill for reaction SMILES, reaction-plus-molecule multicomponent data, atom/bond targets, constrained MolAtomBond prediction, spectral tasks, and specialized descriptor/feature schemas.

When should I use Specialized Molecular Tasks?

Specialized Molecular Tasks fits situations like: tasks that involve Drug discovery and cheminformatics.

How do I install Specialized Molecular Tasks in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill specialized-molecular-tasks -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/chemprop/sub-skills/specialized-molecular-tasks in VectorSpaceLab/AREX-Skill) into .claude/skills/specialized-molecular-tasks in your project. Claude Code loads it when a task matches its description.

How do I install Specialized Molecular Tasks in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill specialized-molecular-tasks -a codex`. Or copy the skill folder (skills/repositories/repo-skills/chemprop/sub-skills/specialized-molecular-tasks in VectorSpaceLab/AREX-Skill) into .agents/skills/specialized-molecular-tasks in your project. Codex loads it when a task matches its description.

Can I use Specialized Molecular Tasks 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 VectorSpaceLab/AREX-Skill --skill specialized-molecular-tasks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/specialized-molecular-tasks, .gemini/skills/specialized-molecular-tasks, .github/skills/specialized-molecular-tasks and .opencode/skills/specialized-molecular-tasks in your project.

What does Specialized Molecular Tasks need to run?

Going by SKILL.md and its folder, Specialized Molecular Tasks needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Specialized Molecular Tasks 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 Specialized Molecular Tasks 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 Specialized Molecular Tasks use?

Specialized Molecular Tasks has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Specialized Molecular Tasks use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.1k tokens, read only when the agent opens those files.

What are the alternatives to Specialized Molecular Tasks?

Skills that share tags, products or a category with Specialized Molecular Tasks: DiffDock Molecular Docking (K-Dense-AI/scientific-agent-skills, 48k stars), Edu Chem Reaction (wy51ai/edulab, 1.4k stars), Rowan (lamm-mit/scienceclaw, 246 stars) and Coot Rdkit (pemsley/coot, 168 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Specialized Molecular Tasks?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 331 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.

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