Hmdb DatabaseSAFE
The largest open-source medical AI skills library for OpenClaw🦞.
Overview
The largest open-source medical AI skills library for OpenClaw🦞.
29f31a89230cOBSERVED · 2026-10-08What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: hmdb-database description: "Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification." --- # HMDB Database ## Overview The Human Metabolome Database (HMDB) is a comprehensive, freely available resource containing detailed information about small molecule metabolites found in the human body. ## When to Use This Skill This skill should be used when performing metabolomics research, clinical chemistry, biomarker discovery, or metabolite identification tasks. ## Database Contents HMDB version 5.0 (current as of 2025) contains: - **220,945 metabolite entries** covering both water-soluble and lipid-soluble compounds - **8,610 protein sequences** for enzymes and transporters involved in metabolism - **130+ data fields per metabolite** including: - Chemical properties (structure, formula, molecular weight, InChI, SMILES) - Clinical data (biomarker associations, diseases, normal/abnormal concentrations) - Biological information (pathways, reactions, locations) - Spectroscopic data (NMR, MS, MS-MS spectra) - External database links (KEGG, PubChem, MetaCyc, ChEBI, PDB, UniProt, GenBank) ## Core Capabilities ### 1. Web-Based Metabolite Searches Access HMDB through the web interface at https://www.hmdb.ca/ for: **Text Searches:** - Search by metabolite name, synonym, or identifier (HMDB ID) - Example HMDB IDs: HMDB0000001, HMDB0001234 - Search by disease associations or pathway involvement - Query by biological specimen type (urine, serum, CSF, saliva, feces, sweat) **Structure-Based Searches:** - Use ChemQuery for structure and substructure searches - Search by molecular weight or molecular weight range - Use SMILES or InChI strings to find compounds **Spectral Searches:** - LC-MS spectral matching - GC-MS spectral matching - NMR spectral searches for metabolite identification **Advanced Searches:** - Combine multiple criteria (name, properties, concentration ranges) - Filter by biological locations or specimen types - Search by protein/enzyme associations ### 2. Accessing Metabolite Information When retrieving metabolite data, HMDB provides: **Chemical Information:** - Systematic name, traditional names, and synonyms - Chemical formula and molecular weight - Structure representations (2D/3D, SMILES, InChI, MOL file) - Chemical taxonomy and classification **Biological Context:** - Metabolic pathways and reactions - Associated enzymes and transporters - Subcellular locations - Biological roles and functions **Clinical Relevance:** - Normal concentration ranges in biological fluids - Biomarker associations with diseases - Clinical significance - Toxicity information when applicable **Analytical Data:** - Experimental and predicted NMR spectra - MS and MS-MS spectra - Retention times and chromatographic data - Reference peaks for identification ### 3. Downloadable Datasets HMDB offers bulk data downloads at https://www.hmdb.ca/downloads in multiple formats: **Available Formats:** - **XML**: Complete metabolite, protein, and spectra data - **SDF**: Metabolite structure files for cheminformatics - **FASTA**: Protein and gene sequences - **TXT**: Raw spectra peak lists - **CSV/TSV**: Tabular data exports **Dataset Categories:** - All metabolites or filtered by specimen type - Protein/enzyme sequences - Experimental and predicted spectra (NMR, GC-MS, MS-MS) - Pathway information **Best Practices:** - Download XML format for comprehensive data including all fields - Use SDF format for structure-based analysis and cheminformatics workflows - Parse CSV/TSV formats for integration with data analysis pipelines - Check version dates to ensure up-to-date data (current: v5.0, 2023-07-01) **Usage Requirements:** - Free for academic and non-commercial research - Commercial use requires explicit permission (contact [email protected]) - Cite HMDB publication when using data ### 4. Programmatic API Access **API Availability:** HMDB does not provide a public REST API. Programmatic access requires contacting the development team: - **Academic/Research groups:** Contact [email protected] (Eponine) or [email protected] (Scott) - **Commercial organizations:** Contact [email protected] (Scott) for customized API access **Alternative Programmatic Access:** - **R/Bioconductor**: Use the `hmdbQuery` package for R-based queries - Install: `BiocManager::install("hmdbQuery")` - Provides HTTP-based querying functions - **Downloaded datasets**: Parse XML or CSV files locally for programmatic analysis - **Web scraping**: Not recommended; contact team for proper API access instead ### 5. Common Research Workflows **Metabolite Identification in Untargeted Metabolomics:** 1. Obtain experimental MS or NMR spectra from samples 2. Use HMDB spectral search tools to match against reference spectra 3. Verify candidates by checking molecular weight, retention time, and MS-MS fragmentation 4. Review biological plausibility (expected in specimen type, known pathways) **Biomarker Discovery:** 1. Search HMDB for metabolites associated with disease of interest 2. Review concentration ranges in normal vs. disease states 3. Identify metabolites with strong differential abundance 4. Examine pathway context and biological mechanisms 5. Cross-reference with literature via PubMed links **Pathway Analysis:** 1. Identify metabolites of interest from experimental data 2. Look up HMDB entries for each metabolite 3. Extract pathway associations and enzymatic reactions 4. Use linked SMPDB (Small Molecule Pathway Database) for pathway diagrams 5. Identify pathway enrichment for biological interpretation **Database Integration:** 1. Download HMDB data in XML or CSV format 2. Parse and extract relevant fields for local database 3. Link with external IDs (KEGG, PubChem, ChEBI) for cross-database queries 4. Build local tools or pipelines incorporating HMDB referen
Trust audit
SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (0)
No findings outside the package's declared scope.
Gates applied: no_behavioural_pass.
29f31a89230cfull audit observations/trust-audit/skill/freedomintelligence__hmdb-database.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-08 | 29f31a89230c | SAFE | B | 89 | first audit |
Questions
What does the Hmdb Database skill do?
The largest open-source medical AI skills library for OpenClaw🦞.
Is Hmdb Database safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Hmdb Database access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (29f31a89230c), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.