Eol Resistor Calculator
sickn33/agentic-awesome-skills
Calculates and validates end-of-line (EOL, SEOL, DEOL, TEOL) resistor loops for intrusion alarm panels (Honeywell, DSC, Paradox, Bosch) with wire gauge drop and state tables.
Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
MITAuto-check passed
Install Chem Sorption Widom
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widom --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/chem-sorption-widom .claude/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.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/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .claude/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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 install https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widomType 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.
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widom --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/chem-sorption-widom .agents/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .agents/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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.
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widom --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/chem-sorption-widom .cursor/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .cursor/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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 https://github.com/learningmatter-mit/AtomisticSkills.git --path skills/chem-sorption-widom--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widom --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/chem-sorption-widom .gemini/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.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/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .gemini/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widomInstalls 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).
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/chem-sorption-widom .github/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.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/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .github/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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.
$ npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install learningmatter-mit/AtomisticSkills chem-sorption-widom --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/chem-sorption-widom .opencode/skills/chem-sorption-widom && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "chem-sorption-widom" agent skill from https://github.com/learningmatter-mit/AtomisticSkills/tree/main/skills/chem-sorption-widom into .opencode/skills/chem-sorption-widom/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "chem-sorption-widom", 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
chem-sorption-widom- GitHub stars
- 176
- Token cost
- ~853 tokens
- SKILL.md length
- 296 words
- Files
- 16 (incl. scripts)
- Skills in repo
- 129
- Repo updated
- First seen
- Licence
- MIT
At a glance
Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
- SKILL.md covers Goal, Prerequisites, Instructions and Examples, plus 1 more section
- Runs Python and Shell scripts from its folder
What it does
Chem Sorption Widom is an agent skill from learningmatter-mit/AtomisticSkills. Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including scripts (for example `examples/README.md`, `examples/input_configs.yaml` and `examples/test_widom.sh`).
The repository describes itself as: Integrating AtomisticSkills into Agentic IDEs (Cursor, Claude Code, Codex, Google Antigravity, Hermes Agent, etc). The licence is MIT.
Example prompts
- “Use the chem-sorption-widom skill to calculate Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with…”
- “/chem-sorption-widom”
Requirements
- Python 3
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 6257444. 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 12 files in scripts/ (Python and Shell), which the agent can run.
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):
github.com
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
Chem Sorption Widom loads about 853 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 296 words of instructions outside code blocks.
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 learningmatter-mit/AtomisticSkills at commit 6257444, republished under its MIT licence (© learningmatter-mit). 296 words, ~853 tokens.
Download SKILL.mdSave it as
.claude/skills/chem-sorption-widom/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.- name
- chem-sorption-widom
- description
- Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
- metadata.category
- materials, chemistry
- metadata.venv
- fairchem
chem-sorption-widom
Goal
To determine the initial affinity of a porous material (e.g., MOFs, COFs) for a specific gas molecule at infinite dilution. This is done by computing the Henry coefficient ($K_H$) and the isosteric heat of adsorption ($\Delta H_{ads}$) using Widom insertion, calculating interaction energies with a generic Machine Learning Interatomic Potential (MLIP) such as MACE, FairChem, or MatGL.
Prerequisites
- Input: A relaxed framework structure in CIF (or XYZ) format. The structure should ideally be processed by chem-sorption-relax to ensure proper supercell dimensions.
- Environment: Depends on the MLIP used (
fairchemfor FairChem;mlipfor MACE and MatGL).
Instructions
- Perform Widom Insertion: Use the
run_widom.pyscript, specifying the structure, gas, temperature, and your MLIP of choice.
# (if using fairchem), venv/mlip (if using mace), etc.
${CLAUDE_SKILL_DIR}/../../venv/run fairchem python ${CLAUDE_SKILL_DIR}/scripts/run_widom.py \
--structure path/to/relaxed_supercell.cif \
--name MY_FRAMEWORK \
--calculator fairchem \
--model-name uma-s-1p2 \
--task-name omol \
--gas CO2 \
--temperature 298 \
--output-dir ./resultsParameters
--structure: Path to the relaxed host framework (must be large enough, see Constraints).--name: Identifier for the output files.--calculator: The backend MLIP (fairchem,mace,matgl).--model-name: Name or path to the MLIP weights (e.g.,uma-s-1p1.pt,MACE-MH-1).--task-name: Optional, but highly recommended for multi-task models (e.g.,omolfor FairChem UMA and MACE-MH).--gas: The adsorbate gas (e.g.,CO2,N2,CH4).--temperature: Temperature in Kelvin.--num-insertions: Number of Monte Carlo insertion attempts (default: 50,000).--output-dir: Directory to save thewidom_results.json.
Examples
Example 1: Using FairChem UMA-S-1p2 for CO2 adsorption at 298K
${CLAUDE_SKILL_DIR}/../../venv/run fairchem python ${CLAUDE_SKILL_DIR}/scripts/run_widom.py \
--structure ./results/COF-1_supercell.cif \
--name COF-1 \
--calculator fairchem \
--model-name uma-s-1p2 \
--task-name omol \
--gas CO2 \
--temperature 298 \
--output-dir ./resultsConstraints
- Cell Size: The periodic boundary conditions of the framework must be large enough ($> 12$ Å minimum interplanar distance) to prevent artificial self-interactions of the inserted gas molecules across boundaries. It is highly recommended to use chem-sorption-relax first.
- Statistical Noise: Increasing
--num-insertions(e.g., to 100,000) improves the convergence of $K_H$ and $\Delta H_{ads}$, at the cost of increased computation time. - Model Compatibility: Ensure the selected MLIP and its corresponding
task-nameare suitable for non-covalent interactions (e.g.,omolfor UMA, or dispersion-corrected MACE/MatGL models).
Author: Artur Lyssenko Contact: GitHub @arturlyssenko12
© learningmatter-mit, 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 15 other files (scripts) in skills/chem-sorption-widom of learningmatter-mit/AtomisticSkills.
- SKILL.md
- examples/README.md
- examples/input_configs.yaml
- examples/test_widom.sh
- scripts/run_widom.py
- scripts/widom_common.py
- scripts/widom_src/widom/LICENSE
- scripts/widom_src/widom/NOTICE
- scripts/widom_src/widom/README.md
- scripts/widom_src/widom/__init__.py
- scripts/widom_src/widom/analyze.py
- scripts/widom_src/widom/pyproject.toml
- scripts/widom_src/widom/run.py
- scripts/widom_src/widom/sample_compute_energies.py
- scripts/widom_src/widom/structure_preparation.py
- scripts/widom_src/widom/utils.py
Open the folder on GitHubat commit 6257444
Compare with similar skills
Chem Sorption Widom 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Chem Sorption Widom this skilllearningmatter-mit/AtomisticSkills | 176 | — | ~853 | Automated safety check: Pass | MIT | |
| Eol Resistor Calculatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Metric Calculatorjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~563 | Automated safety check: Pass | MIT | |
| Retention Calculatorjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~573 | Automated safety check: Pass | MIT | |
| Throughput Calculatorjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~577 | Automated safety check: Pass | MIT | |
| Performing Oil Gas Cybersecurity Assessmentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~4k | Automated safety check: Pass | Apache-2.0 |
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Questions about Chem Sorption Widom
What does Chem Sorption Widom do?
Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP. Chem Sorption Widom is an agent skill from learningmatter-mit/AtomisticSkills. Calculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
How do I install Chem Sorption Widom in Claude Code?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a claude-code`. Or copy the skill folder (skills/chem-sorption-widom in learningmatter-mit/AtomisticSkills) into .claude/skills/chem-sorption-widom in your project. Claude Code loads it when a task matches its description.
How do I install Chem Sorption Widom in Codex?
Run `npx skills add learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a codex`. Or copy the skill folder (skills/chem-sorption-widom in learningmatter-mit/AtomisticSkills) into .agents/skills/chem-sorption-widom in your project. Codex loads it when a task matches its description.
Can I use Chem Sorption Widom 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 learningmatter-mit/AtomisticSkills --skill chem-sorption-widom -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/chem-sorption-widom, .gemini/skills/chem-sorption-widom, .github/skills/chem-sorption-widom and .opencode/skills/chem-sorption-widom in your project.
What does Chem Sorption Widom need to run?
Going by SKILL.md and its folder, Chem Sorption Widom needs Python and a shell for the scripts in its folder. Our summary lists: Python 3; A Bash shell.
Does Chem Sorption Widom access the network?
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Is Chem Sorption Widom 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 Chem Sorption Widom use?
Chem Sorption Widom is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Chem Sorption Widom use?
About 853 tokens (SKILL.md is roughly 3.4k 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 Chem Sorption Widom?
Skills that share tags, products or a category with Chem Sorption Widom: Eol Resistor Calculator (sickn33/agentic-awesome-skills, 47k stars), Metric Calculator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), Retention Calculator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Throughput Calculator (jeremylongshore/tons-of-skills-marketplace, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Chem Sorption Widom?
learningmatter-mit (a GitHub organization) maintains it in learningmatter-mit/AtomisticSkills, which has 176 GitHub stars. The repository holds 129 skills in this directory. The repository was last updated on October 7, 2026.
Source: learningmatter-mit/AtomisticSkills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.