drug-binding-site-definition

drug-binding-site-definition is a skill for Claude Code, Codex from learningmatter-mit/AtomisticSkills. It costs 101 tokens per session (2,846 once invoked), scanned A, original, MIT.

A tool for defining the three-dimensional region where a molecular docking search should occur. It records the region's center and size in ångströms, a unit used for very small distances.

In plain words
What is it for?
Use it to prepare a docking box from a co-crystal ligand, residue list, related protein structure, predicted pocket, or existing box file.
Why use it?
Docking software needs a precise search area around a protein binding site. This provides that area from a known ligand, binding-site residues, or a saved JSON definition.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument; installed under .agents/ (shared by several agents).

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/learningmatter-mit/atomisticskills/drug-binding-site-definition
Any agent
npx skills add learningmatter-mit/AtomisticSkills --skill drug-binding-site-definition
Clone the repo
git clone --depth 1 https://github.com/learningmatter-mit/AtomisticSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for drug-binding-site-definition

README.md
[![agentmods](https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/drug-binding-site-definition.svg)](https://agentmods.dev/skills/learningmatter-mit/atomisticskills/drug-binding-site-definition)
Your own site
<a href="https://agentmods.dev/skills/learningmatter-mit/atomisticskills/drug-binding-site-definition"><img src="https://agentmods.dev/badge/skills/learningmatter-mit/atomisticskills/drug-binding-site-definition.svg" alt="Measured on agentmods" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.02846
Opus 5 $0.00051 $0.01423
Sonnet 5 $0.00020 $0.00569
Haiku 4.5 $0.00010 $0.00285

Measured 6d ago against content hash 61cf61e99df5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

drug-binding-site-definition scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/define_binding_site.py, scripts/visualize_box.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/drug-binding-site-definition/SKILL.md · 210 lines

How it starts

The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.

drug-binding-site-definition

Goal

To produce a standardized docking / simulation box definition (center coordinates + box dimensions in Angstroms) that downstream skills such as drug-docking-vina and drug-complex-system-builder can consume directly.

Choosing the Right Mode

Use this decision tree to pick the appropriate approach:

Do you have a reference ligand positioned in the binding site?
  |-- YES --> Mode A (co-crystal ligand)
  |-- NO
       Do you know the key binding-site residues (from literature, mutagenesis, etc.)?
         |-- YES --> Mode B (residue list)
         |-- NO
              Do you have a closely related protein with a known binding site?
                |-- YES --> Superimpose structures, transfer the ligand,
                |           then use Mode A on the transferred ligand.
                |           (See "When You Have No Binding-Site Information" below.)
                |-- NO  --> Run computational pocket prediction first
                            (see "When You Have No Binding-Site Information" below),
                            then feed results into Mode A or B.

If you already have a saved box JSON from a prior run, use Mode C to reload it.

Instructions

1. Mode A: Box from a co-crystal ligand (most common)

If you have a reference ligand already positioned in the binding site (PDB, SDF, MOL2, or PDBQT), compute the box automatically:

# Env: drugdisc-agent
python .agents/skills/drug-binding-site-definition/scripts/define_binding_site.py \
  --mode ligand \
  --ligand_file docking/inputs/reference_ligand.sdf \
  --padding 6.0 \
  --min_size 20.0 \
  --output_json docking/inputs/binding_site.json

Key parameters:

  • --padding: buffer added to the ligand bounding box on each side (default 6.0 A). Use 4-5 A for tight/buried pockets, 8-10 A for shallow or allosteric sites.
  • --min_size: minimum box edge length per axis (default 20.0 A).

Read the full file on GitHub · 210 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 210 lines · 101 tokens per session scan A 61cf61e99df5

Subscribe to this mod's changes

drug-binding-site-definition is a skill published in the GitHub repository learningmatter-mit/AtomisticSkills (160 stars, last pushed 2d ago), licensed MIT. It adds 101 tokens to every session and 2,846 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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