bio-shape-similarity

bio-shape-similarity is a skill for Claude Code, Codex from PKU-YuanGroup/OpenAI4S. It costs 121 tokens per session (3,851 once invoked), scanned A, a copy of bio-shape-similarity, MIT.

A chemistry workflow for finding molecules with similar three-dimensional shape and chemical features to a query molecule. Unlike 2D fingerprint searches, it can find compounds with different scaffolds but a similar overall form.

In plain words
What is it for?
Use it for 3D similarity searches, virtual screening, shape alignment, conformer-ensemble searches, and combined shape-and-feature ranking.
Why use it?
It helps identify potential alternatives that ordinary 2D similarity searches may miss, including scaffold-hopped molecules with comparable feature placement.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for 3D similarity searches, virtual screening, shape alignment, conformer-ensemble searches, and combined shape-and-feature ranking.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity
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.

Any agent
npx skills add PKU-YuanGroup/OpenAI4S --skill bio-chemoinformatics-shape-similarity
Clone the repo
git clone --depth 1 https://github.com/PKU-YuanGroup/OpenAI4S

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 bio-shape-similarity

README.md
[![agentmods](https://agentmods.dev/badge/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity/github.svg)](https://agentmods.dev/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity)
Your own site
<a href="https://agentmods.dev/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity"><img src="https://agentmods.dev/badge/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for bio-shape-similarity

Your own site · 80×15
<a href="https://agentmods.dev/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity"><img src="https://agentmods.dev/badge/skills/pku-yuangroup/openai4s/bio-chemoinformatics-shape-similarity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,851 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod 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 $0.00121 $0.03851
Opus 5 $0.00060 $0.01925
Sonnet 5 $0.00024 $0.00770
Haiku 4.5 $0.00012 $0.00385

Measured 9d ago against content hash 23e8293d74a1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bio-shape-similarity 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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/shape_search.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.

Origin

This is a copy

94% identical to bio-shape-similarity — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/bioskills/bio-chemoinformatics-shape-similarity/SKILL.md · 309 lines

How it starts

The opening of the file, as written. The whole thing — 309 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Version Compatibility

Reference examples tested with: RDKit 2024.09+ (Open3DAlign and USRCAT); official ShaEP syntax checked against ShaEP 1.4.2; ROCS/FastROCS/ROCS X are commercial OpenEye products.

Before using code patterns, verify installed versions match. If versions differ:

  • Python: pip show <package> then help(module.function) to check signatures

If code throws ImportError, AttributeError, or TypeError, introspect the installed package and adapt the example to match the actual API rather than retrying.

Shape Similarity

Search for compounds with similar 3D shape (and optionally chemical features) to a query molecule. Shape-based screening complements 2D fingerprint search: it can find scaffold-hopped compounds that ECFP4 misses (different scaffolds with similar shape). ROCS (OpenEye) is the industry-standard commercial tool; Open3DAlign (RDKit), USRCAT (Schreyer & Blundell 2012), and ShaEP are open-source alternatives. Modern best practice combines shape with color (chemical-feature similarity) via Tanimoto-Combo: matches share both shape and pharmacophore feature distribution.

For 2D fingerprint similarity, see chemoinformatics/similarity-searching. For pharmacophore search (discrete feature constraints), see chemoinformatics/pharmacophore-modeling. For 3D conformer generation, see chemoinformatics/conformer-generation.

Shape Method Taxonomy

Tool Speed Approach Open-source Fails when
ROCS / FastROCS (OpenEye) Hardware/database/conformer-dependent; vendor reports millions of conformers/s for FastROCS Gaussian shape + color No License and prepared database
ROCS X Trillion-scale reaction/synthon space on Orion FastROCS plus Bayesian-bandit sampling No Commercial cloud workflow
USRCAT Very fast alignment-free descriptor comparison Moment-based + atom types Yes Coarse approximation
Open3DAlign (RDKit) Medium MMFF atom-type/charge-weighted alignment Yes Requires compatible typed 3D structures
ShaEP Benchmark on actual conformers/hardware Field-based (shape + ESP) Free binary; inspect license Requires valid 3D structures and charges for ESP
ESPSim Benchmark on actual workload Electrostatic + shape Yes Limited public benchmarks
Phase-Shape (Schrödinger) commercial Shape + pharmacophore No Commercial
USR (original) Very fast alignment-free comparison Moment-based only Yes No atom-type information

Read the full file on GitHub · 309 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 309 lines · 121 tokens per session scan A 23e8293d74a1

Subscribe to this mod's changes

bio-shape-similarity is a skill published in the GitHub repository PKU-YuanGroup/OpenAI4S (407 stars, last pushed yesterday), licensed MIT. It adds 121 tokens to every session and 3,851 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to bio-shape-similarity, differing in 12 lines, and is treated as a copy.

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