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.
npx skills add dralkh/seerai --skill rdkitgit clone --depth 1 https://github.com/dralkh/seeraiWrote 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.
[](https://agentmods.dev/skills/dralkh/seerai/rdkit)<a href="https://agentmods.dev/skills/dralkh/seerai/rdkit"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/rdkit/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.
<a href="https://agentmods.dev/skills/dralkh/seerai/rdkit"><img src="https://agentmods.dev/badge/skills/dralkh/seerai/rdkit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00080 | $0.06147 |
| Opus 5.5 | $0.00032 | $0.02459 |
| Sonnet 5.5 | $0.00016 | $0.01229 |
| Haiku 4.5 | $0.00008 | $0.00615 |
Grade B, and why
rdkit scanned grade B with 1 finding 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 1mo ago.
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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
Do not load Python pickle files from untrusted sources. Pickle deserialization can execute arbitrary code; prefer SMILES/SDF for interchange and RDKit binary payloads for trusted local caches. Copies of this mod
1 near-identical copy found in the catalogue:
- rdkit — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 833 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RDKit Cheminformatics Toolkit
Overview
RDKit is a comprehensive cheminformatics library providing Python APIs for molecular analysis and manipulation. This skill provides guidance for reading/writing molecular structures, calculating descriptors, fingerprinting, substructure searching, chemical reactions, 2D/3D coordinate generation, and molecular visualization. Use this skill for drug discovery, computational chemistry, and cheminformatics research tasks.
Current baseline (checked 2026-06-07): RDKit 2026.03.3 is the latest GitHub/PyPI release (rdkit 2026.3.3 on PyPI). Official installation docs continue to recommend conda-forge for most users, while cross-platform PyPI wheels are published under the rdkit package name. rdkit-pypi is the old PyPI package name and should only appear when maintaining legacy environments.
Installation and Setup
Use uv when installing into an existing Python environment:
uv pip install rdkit
For reproducible chemistry environments, especially when mixing compiled scientific packages, conda-forge remains the upstream recommendation:
conda create -c conda-forge -n my-rdkit-env rdkit
conda activate my-rdkit-env
Avoid installing both conda rdkit and PyPI rdkit/rdkit-pypi into the same environment unless you are deliberately debugging packaging behavior. Mixed installs can make it unclear which binary extension is being imported.
Core Capabilities
1. Molecular I/O and Creation
Reading Molecules:
Read molecular structures from various formats:
from rdkit import Chem
# From SMILES strings
mol = Chem.MolFromSmiles('Cc1ccccc1') # Returns Mol object or None
# From MOL files
mol = Chem.MolFromMolFile('path/to/file.mol')
# From MOL blocks (string data)
mol = Chem.MolFromMolBlock(mol_block_string)
# From InChI
mol = Chem.MolFromInchi('InChI=1S/C6H6/c1-2-4-6-5-3-1/h1-6H')
Writing Molecules:
Convert molecules to text representations:
# To canonical SMILES
smiles = Chem.MolToSmiles(mol)
# To MOL block
mol_block = Chem.MolToMolBlock(mol)
# To InChI
inchi = Chem.MolToInchi(mol)
What ships with it
6 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.
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.
- 1mo ago First seen · 833 lines · 80 tokens per session scan B 19d8a42064b1
rdkit is a skill published in the GitHub repository dralkh/seerai (94 stars, last pushed 19d ago), licensed MIT. It adds 80 tokens to every session and 6,147 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.
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