Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

Back to skills

Cohp

ASecurity

Use when the user asks about COHP (Crystal Orbital Hamilton Population), chemical bonding analysis, LOBSTER output, orbital-resolved bonding, or bonding/antibonding character between atoms.

199 stars
0 votes
0 copies
0 views
Added 9/20/2026
ai-agentsgonode

Works with

claude codemcp

Security Analysis

A100/100

Scanned 9/20/2026

Install to Claude Code

$npx -y skills add Hello-QM/catgo-LRG --skill cohp --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Cohp?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Cohp
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/hello-qm-cohp/badge)](https://www.skillsdirectory.com/skills/hello-qm-cohp)

More formats (shields.io, HTML) on the badges page.

Download Zip
Files
SKILL.md
---
name: cohp-analysis
description: >
  Use when the user asks about COHP (Crystal Orbital Hamilton Population),
  chemical bonding analysis, LOBSTER output, orbital-resolved bonding,
  or bonding/antibonding character between atoms.
tags: [analysis, bonding, COHP, LOBSTER, orbital]
---

# COHP Analysis

## Overview

Crystal Orbital Hamilton Population (COHP) analysis quantifies bonding and
antibonding interactions between atom pairs in a crystal. COHP data is
generated by LOBSTER from DFT output (typically VASP). CatGo reads
COHPCAR.lobster files and provides interactive visualization and data
extraction.

Key applications:
- **Bonding character**: Identify bonding (negative COHP) vs antibonding (positive COHP) regions
- **Orbital-resolved analysis**: Decompose into s-s, p-d, d-d contributions
- **Catalyst design**: Understand adsorbate-surface bonding (e.g., CO-Pt d-band interactions)
- **Integrated COHP (ICOHP)**: Quantitative bond strength from ICOHPLIST.lobster

## MCP Tool: catgo_analyze (workflow node: cohp_analysis)

COHP analysis in the Claude Code MCP uses the workflow node `cohp_analysis`
or the dedicated `catgo_cohp_data` tool (in the full MCP server). The
workflow engine automatically reads LOBSTER output from a parent
calculation step.

### Workflow-Based COHP Analysis

Add a `cohp_analysis` node downstream of a VASP calculation that produces
LOBSTER output:

```json
{"tool": "catgo_workflow", "arguments": {
  "action": "add_node", "workflow_id": "wf_bonding",
  "node_type": "cohp_analysis",
  "params": {"source": "parent_step"}
}}
```

### Upload COHPCAR File Directly

If you have a COHPCAR.lobster file, upload it to create a session:

```json
{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "params": {"file_type": "COHPCAR", "remote_path": "/path/to/COHPCAR.lobster"}
}}
```

The upload returns a `session_id` along with metadata: `nspin`, `npoints`,
`efermi`, and a list of available bonds with atom labels and distances.

### Retrieve COHP Data for Specific Bonds

Once you have a `session_id`, query COHP data for specific bonds:

```json
{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "params": {
    "session_id": "abc-123",
    "bond_indices": [1, 3],
    "include_orbitals": false
  }
}}
```

### Orbital-Resolved COHP

To decompose bonding into orbital contributions (e.g., p-d interactions):

```json
{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "params": {
    "session_id": "abc-123",
    "bond_indices": [1],
    "include_orbitals": true,
    "orbital_filter": ["p-d", "s-d"]
  }
}}
```

### Aggregate Orbital COHP

Sum orbital contributions for a cleaner view:

```json
{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "params": {
    "session_id": "abc-123",
    "bond_indices": [1],
    "aggregate_orbitals": true,
    "orbital_filter": ["d-d"]
  }
}}
```

## Parameters

| Parameter | Type | Description |
|-----------|------|-------------|
| session_id | string | Session ID from COHPCAR upload |
| bond_indices | int[] | 1-based bond numbers to retrieve (from upload metadata) |
| include_orbitals | bool | Include orbital-decomposed COHP (default false) |
| orbital_filter | string[] | Filter orbital pairs, e.g. `["p-d", "s-d"]` |
| aggregate_orbitals | bool | Sum filtered orbital contributions (default false) |

## Complete Workflow: VASP + LOBSTER COHP

### 1. Run VASP static calculation with LOBSTER-compatible settings

```json
{"tool": "catgo_workflow", "arguments": {
  "action": "create", "name": "COHP bonding analysis"
}}
```

```json
{"tool": "catgo_workflow", "arguments": {
  "action": "add_node", "workflow_id": "wf_cohp",
  "node_type": "single_point",
  "params": {
    "software": "vasp",
    "ENCUT": 520,
    "ISYM": -1,
    "NBANDS": 200,
    "system_name": "static for LOBSTER"
  }
}}
```

### 2. Add COHP analysis node

```json
{"tool": "catgo_workflow", "arguments": {
  "action": "add_node", "workflow_id": "wf_cohp",
  "node_type": "cohp_analysis",
  "params": {"source": "parent_step"}
}}
```

### 3. Connect and run

```json
{"tool": "catgo_workflow", "arguments": {
  "action": "connect",
  "workflow_id": "wf_cohp",
  "from_id": "static_node_id",
  "to_id": "cohp_node_id",
  "from_handle": "data",
  "to_handle": "data"
}}
```

## Return Format

COHP data is returned as:

```json
{
  "energies": [-10.0, -9.95, ...],
  "series": [
    {
      "label": "Fe1-O2 (2.01 A)",
      "spin_up": [0.12, 0.15, ...],
      "spin_down": [-0.08, -0.10, ...],
      "bond_index": 1,
      "is_total": true
    }
  ],
  "efermi": -2.35
}
```

Negative COHP values indicate bonding interactions; positive values indicate
antibonding.

## Common Pitfalls

1. LOBSTER requires specific VASP settings: `ISYM = -1` (no symmetry),
   sufficient `NBANDS`, and `LWAVE = .TRUE.` for wavefunction output.
2. Bond indices are 1-based (matching LOBSTER convention). Index 0 is
   the "Average" across all bonds.
3. Large COHPCAR files (>100 MB) may take several seconds to parse.
   The session is cached for 30 minutes after last access.
4. For spin-polarized calculations, both `spin_up` and `spin_down`
   channels are returned. Non-magnetic calculations have `spin_down = null`.
5. ICOHP (integrated COHP) from ICOHPLIST.lobster provides a single
   number per bond -- use it for quick bond strength comparisons
   without needing the full energy-resolved COHP.

Attribution

Hello-QMHello-QM
View sourceMore from Hello-QM →
SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Your tool, in front of Claude Code builders.

3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

Related Skills

Caveman

Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.

1023331 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

686011 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3331 votes

catchup

Recovers prior coding-agent session context by running `catchup <agent> --since-compact`, which extracts a clean summary of a previous Codex, Claude Code, Antigravity, OpenCode, or Pi Agent session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", or asks to recover/summarize a previous session before continuing. Do NOT use for the current conversation, git history, or any non-agent log.

611 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →