Prepare ASE NEB workflow tasks with backend-agnostic controls.

MITAuto-check passed

Install Neb

skills CLI
$ npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill neb -a claude-code

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

GitHub CLI
$ gh skill install jinzhezenggroup/computational-chemistry-agent-skills neb --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/jinzhezenggroup/computational-chemistry-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/atomistic-workflows/ase/ase-workflows/neb .claude/skills/neb && 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
neb
GitHub stars
148
Token cost
~275 tokens
SKILL.md length
78 words
Files
1
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Prepare ASE NEB workflow tasks with backend-agnostic controls.

  • Works in 4 steps: NEB workflow script/layout → image/convergence summary → assumptions and unresolved choices → …
  • The user needs reaction-path optimization between initial/final states with explicit image construction
  • SKILL.md covers Scope, Must provide, Usually should be explicit and Expected output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Neb is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Prepare ASE NEB workflow tasks with backend-agnostic controls. Use when the user needs reaction-path optimization between initial/final states with explicit image construction, spring settings, and convergence controls.

Its SKILL.md is about 280 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Requires ASE and a configured backend adapter from ase/ase-calculators.

The repository describes itself as: Agent skills to run computational-chemistry tasks, used in OpenClaw. The licence is MIT.

When your agent uses it

  • The user needs reaction-path optimization between initial/final states with explicit image construction
  • Spring settings
  • Convergence controls

Example prompts

  • “/neb”

Requirements

  • Compatibility (from SKILL.md): Requires ASE and a configured backend adapter from `ase/ase-calculators`.

Workflow steps

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

  1. NEB workflow script/layout
  2. image/convergence summary
  3. assumptions and unresolved choices
  4. handoff note to dpdisp-submit if execution is requested

What it can do on your machine

Read from SKILL.md and the folder at commit 5c19e75. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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.

  • Compatibility

    Requires ASE and a configured backend adapter from `ase/ase-calculators`.

    From compatibility in the SKILL.md frontmatter.

Context cost

Neb loads about 275 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 78 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~56
When it runs · the whole SKILL.md, loaded when a task matches
~275

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from jinzhezenggroup/computational-chemistry-agent-skills at commit 5c19e75, republished under its MIT licence (© jinzhezenggroup). 78 words, ~275 tokens.

Download SKILL.mdSave it as .claude/skills/neb/SKILL.md (or your agent's skills folder).
name
neb
description
Prepare ASE NEB workflow tasks with backend-agnostic controls. Use when the user needs reaction-path optimization between initial/final states with explicit image construction, spring settings, and convergence controls.
compatibility
Requires ASE and a configured backend adapter from `ase/ase-calculators`.
license
MIT
catalog-hidden
true
metadata.author
qqgu
metadata.version
0.1.0
metadata.repository
https://gitlab.com/ase/ase

ASE NEB Workflow (Subskill)

Scope

This subskill prepares NEB workflow tasks only.

It should generate:

  • NEB workflow script with image setup
  • optimizer/spring/convergence settings
  • output policy for path and barriers

Must provide

  • initial and final structures
  • selected backend adapter
  • number of images
  • optimizer and convergence policy

Usually should be explicit

  • interpolation policy
  • climbing-image setting
  • spring-constant policy

Expected output

  1. NEB workflow script/layout
  2. image/convergence summary
  3. assumptions and unresolved choices
  4. handoff note to dpdisp-submit if execution is requested

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

Files

Just SKILL.md in atomistic-workflows/ase/ase-workflows/neb of jinzhezenggroup/computational-chemistry-agent-skills.

Open the folder on GitHubat commit 5c19e75

Compare with similar skills

Neb 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.

Neb compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Neb this skilljinzhezenggroup/computational-chemistry-agent-skills148—~275Automated safety check: PassMIT
Control UIopenclaw/openclaw392k—~1.8kAutomated safety check: PassMIT
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Control UI E2Eopenclaw/openclaw392k—~2.9kAutomated safety check: PassMIT
Release PreparationCherryHQ/cherry-studio53k—~4.3kAutomated safety check: PassAGPL-3.0
Prepare Paperclip PRpaperclipai/paperclip100k—~954Automated safety check: PassMIT

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Questions about Neb

What does Neb do?

Prepare ASE NEB workflow tasks with backend-agnostic controls. Neb is an agent skill from jinzhezenggroup/computational-chemistry-agent-skills. Prepare ASE NEB workflow tasks with backend-agnostic controls.

When should I use Neb?

Neb fits situations like: the user needs reaction-path optimization between initial/final states with explicit image construction; spring settings; convergence controls.

How do I install Neb in Claude Code?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill neb -a claude-code`. Or copy the skill folder (atomistic-workflows/ase/ase-workflows/neb in jinzhezenggroup/computational-chemistry-agent-skills) into .claude/skills/neb in your project. Claude Code loads it when a task matches its description.

How do I install Neb in Codex?

Run `npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill neb -a codex`. Or copy the skill folder (atomistic-workflows/ase/ase-workflows/neb in jinzhezenggroup/computational-chemistry-agent-skills) into .agents/skills/neb in your project. Codex loads it when a task matches its description.

Can I use Neb 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 jinzhezenggroup/computational-chemistry-agent-skills --skill neb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/neb, .gemini/skills/neb, .github/skills/neb and .opencode/skills/neb in your project.

What does Neb need to run?

SKILL.md names no scripts, command-line tools or credentials: Neb is instructions for the agent only. Compatibility (from SKILL.md): Requires ASE and a configured backend adapter from `ase/ase-calculators`..

Does Neb 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 Neb 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. Review the folder before installing.

What licence does Neb use?

Neb 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 Neb use?

About 275 tokens (SKILL.md is roughly 1.1k 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 Neb?

Skills that share tags, products or a category with Neb: Control UI (openclaw/openclaw, 392k stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), Control UI E2E (openclaw/openclaw, 392k stars) and Release Preparation (CherryHQ/cherry-studio, 53k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Neb?

jinzhezenggroup (a GitHub organization) maintains it in jinzhezenggroup/computational-chemistry-agent-skills, which has 148 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.

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