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/rdkit/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/rdkit)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/rdkit"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/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/omar-a-hassan/medsci-agent/rdkit"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/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 | $0.00026 | $0.00424 |
| Opus 5 | $0.00013 | $0.00212 |
| Sonnet 5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
rdkit 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.
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
RDKit — Cheminformatics
When to Use
- Analyzing molecules from SMILES strings
- Computing physicochemical properties (MW, LogP, TPSA, etc.)
- Drug-likeness assessment (Lipinski, Veber, etc.)
- Molecular similarity (Tanimoto with Morgan fingerprints)
- Molecular fingerprint generation
Available Tools
analyze_molecule(smiles)— Full property profilelipinski_filter(smiles)— Rule of Five checkmolecular_similarity(smiles1, smiles2)— Tanimoto similarity
SMILES Reference
SMILES (Simplified Molecular Input Line Entry System) is a line notation for molecular structures:
CC(=O)OC1=CC=CC=C1C(=O)O— AspirinCC(C)CC1=CC=C(C=C1)C(C)C(=O)O— IbuprofenCN1C=NC2=C1C(=O)N(C(=O)N2C)C— Caffeine
Drug-Likeness Rules
- Lipinski's Rule of Five: MW≤500, LogP≤5, HBD≤5, HBA≤10 (≤1 violation)
- Veber: RotBonds≤10, TPSA≤140
- Lead-like: MW 250-350, LogP -1 to 3, RotBonds≤7
Similarity Interpretation
- Tanimoto > 0.85 — Very similar, likely same scaffold
- Tanimoto 0.7-0.85 — Similar, may share target activity
- Tanimoto 0.4-0.7 — Moderate, may share pharmacophore features
- Tanimoto < 0.4 — Dissimilar
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.
- 9d ago First seen · 36 lines · 26 tokens per session scan A 5ab02d0c31a2
rdkit is a skill published in the GitHub repository omar-A-hassan/medsci-agent (18 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 424 once invoked, about $0.0001 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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