Borrowing it
Nothing to install: this file belongs to omar-A-hassan/medsci-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omar-A-hassan/medsci-agent/main/.opencode/skills/datamol/SKILL.mdgit clone --depth 1 https://github.com/omar-A-hassan/medsci-agentWrote 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/omar-a-hassan/medsci-agent/datamol)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/datamol"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/datamol/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/omar-a-hassan/medsci-agent/datamol"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/datamol.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 | $0.00019 | $0.00428 |
| Opus 5.5 | $0.00008 | $0.00171 |
| Sonnet 5.5 | $0.00004 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
datamol 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 2mo 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.
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.
What it actually says
Datamol
Overview
Datamol is a lightweight Python library built on top of RDKit that simplifies molecular manipulation. It provides a clean API for SMILES parsing, standardization, fingerprints, scaffolds, and visualization.
Core Operations
import datamol as dm
# Parse and standardize SMILES
mol = dm.to_mol("CC(=O)Oc1ccccc1C(=O)O")
std_mol = dm.standardize_mol(mol)
smiles = dm.to_smiles(std_mol, canonical=True)
# Fix and sanitize
mol = dm.to_mol("bad_smiles", ordered=True) # returns None if invalid
fixed = dm.fix_mol(mol)
sanitized = dm.sanitize_mol(fixed)
Descriptors and Fingerprints
# Molecular properties
dm.descriptors.mw(mol) # molecular weight
dm.descriptors.logp(mol) # cLogP
dm.descriptors.tpsa(mol) # topological polar surface area
dm.descriptors.n_hba(mol) # H-bond acceptors
dm.descriptors.n_hbd(mol) # H-bond donors
# Fingerprints
fp = dm.to_fp(mol, fp_type="ecfp", n_bits=2048) # numpy array
Key Details
- Scaffolds:
dm.to_scaffold_murcko(mol),dm.fragment.brics(mol). - All functions gracefully handle
Noneinputs (returnNone). dm.to_smilesreturns canonical SMILES by default.- Batch:
dm.to_mol(["CCO", "c1ccccc1"])accepts lists. - Clustering:
dm.cluster.cluster_mols(mols, cutoff=0.7). - Install:
pip install datamol.
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.
- 2mo ago First seen · 46 lines · 19 tokens per session scan A e6a48a4fae59
datamol is a skill published in the GitHub repository omar-A-hassan/medsci-agent (17 stars, last pushed 2mo ago), licensed MIT. It adds 19 tokens to every session and 428 once invoked, about $0.0001 per session on Opus 5.5. 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.
datamol compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| datamolomar-A-hassan/medsci-agent | Skill | 17 | 2mo ago | MIT | A | 19 | OpenCode |
| build-expression-treejimmc414/claude-code-plugin-marketplace | Skill | 4 | yesterday | MIT | A | 24 | Claude Code |
| find-convex-hulljimmc414/claude-code-plugin-marketplace | Skill | 4 | yesterday | MIT | A | 31 | Claude Code |
| dfam-checkearthtojake/text-to-cad | Skill | 26k | yesterday | MIT | A | 117 | Claude Code, Codex |
| peer-reviewxintaofei/codeg | Skill | 4.2k | 6d ago | Apache-2.0 | A | 71 | Claude Code |
| scientific-critical-thinkingxintaofei/codeg | Skill | 4.2k | 6d ago | Apache-2.0 | A | 63 | Claude Code |
| tooluniverse-phylogeneticsmims-harvard/ToolUniverse | Skill | 1.8k | yesterday | Apache-2.0 | A | 155 | Claude Code |