rdkit
No security findings. Scanned 1 time, most recently 2026-10-21.
Second scanner: NVIDIA SkillSpector
Independent static run, no language model, over the same files as the Cisco scan above. How the two scanners compare across the whole corpus: Two scanners, one corpus.
What this skill does
Cheminformatics toolkit for fine-grained molecular control. SMILES/SDF parsing, descriptors (MW, LogP, TPSA), fingerprints, substructure search, 2D/3D generation, similarity, reactions. For standard workflows with simpler interface, use datamol (wrapper around RDKit). Use rdkit for advanced control, custom sanitization, specialized algorithms.
- Package
- 11 files, 111 KB
- SKILL.md
- 1048 words, 11 sections
- Code
- Python (4)
- Allowed tools
ReadWriteEditBash- License
- BSD-3-Clause license
- Compatibility
- Tested with RDKit 2026.03.6 on Python 3.13; bundled scripts require the rdkit package. No credentials or network are needed after installation. Use conda-forge for the broadest binary support or PyPI package `rdkit` for supported platform wheels; `rdkit-pypi` is the legacy PyPI name.
SKILL.md covers: RDKit Cheminformatics Toolkit · Overview · Installation and Setup · Core Capabilities · Preserve chemical meaning · Common Pitfalls · Resources · references/ · scripts/ · Review evidence · Citing Scientific Agent Skills
Findings
No findings. SAFE
What is in the package
| File | Kind | Size |
|---|---|---|
SKILL.md | doc | 8.7 KB |
references/api_reference.md | doc | 18 KB |
references/core_capabilities.md | doc | 18 KB |
references/descriptors_reference.md | doc | 12 KB |
references/review.md | doc | 5.3 KB |
references/smarts_patterns.md | doc | 7.8 KB |
references/workflows_and_best_practices.md | doc | 8.3 KB |
scripts/_common.py | script | 2.6 KB |
scripts/molecular_properties.py | script | 7.1 KB |
scripts/similarity_search.py | script | 10 KB |
scripts/substructure_filter.py | script | 13 KB |
External hosts referenced
www.rdkit.org github.com arxiv.org doi.org export.arxiv.org pypi.org
Hostnames that appear in the skill's files. Referencing a host is not a finding; compare against the findings above and the skill's stated purpose.
Package contents recorded 2026-10-22 at commit 593377bb0487. The scan above ran against the version current at scan time; the two can differ if the skill has since been updated.
What we checked
- Static analyzer. Pattern rules over SKILL.md and bundled files: known-bad commands, exfiltration URLs, secrets, obfuscation.
- Bytecode analyzer.
- Pipeline analyzer.
- Correlation analyzer.
- Behavioral analyzer. Checks what the skill asks the agent to do against what its description claims it does.
- Trigger analyzer. Looks for instructions that fire on conditions the user did not ask for.
What we did not check
- Runtime behaviour. The skill was not executed; findings come from reading its files.
- Anything fetched at install or run time, including remote scripts, package dependencies, and URLs the skill tells the agent to open.
- Content the analyzers cannot read: images, binaries, and some non-English text.
- Known scanner bypass classes. See the methodology and limitations page.
Sources
- Repository: https://github.com/K-Dense-AI/scientific-agent-skills
- Raw scan result: skills-rdkit-scan.json
- Badge for your README:
- Request a re-scan