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 beita6969/ScienceClaw --skill chembl-druggit clone --depth 1 https://github.com/beita6969/ScienceClawWrote 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/beita6969/scienceclaw/chembl-drug)<a href="https://agentmods.dev/skills/beita6969/scienceclaw/chembl-drug"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/chembl-drug/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/beita6969/scienceclaw/chembl-drug"><img src="https://agentmods.dev/badge/skills/beita6969/scienceclaw/chembl-drug.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 | $0.00090 | $0.01575 |
| Opus 5 | $0.00045 | $0.00788 |
| Sonnet 5 | $0.00018 | $0.00315 |
| Haiku 4.5 | $0.00009 | $0.00158 |
Grade C, and why
chembl-drug scanned grade C with 2 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 12d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/CHEMBL25.json" | python3 -c "import sys,json; [print(f'{k}: {v}') for k,v in json.load(sys.stdin).get('molecule_properties',{}).items()]" Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: { "openclaw": { "emoji": "\ud83d\udc8a", "requires": { "bins": ["curl"] } } } How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ChEMBL Drug & Bioactivity Lookup
Query the ChEMBL REST API to access curated drug-target interaction data, bioactivity measurements, drug mechanisms of action, and ADMET properties from the European Bioinformatics Institute.
API Base URL
https://www.ebi.ac.uk/chembl/api/data
All endpoints accept .json suffix and return JSON by default. Use format=json as a query parameter alternatively.
API Endpoints
Molecule Lookup
Retrieve molecule details by ChEMBL ID or search by name:
# Get molecule by ChEMBL ID
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/CHEMBL25.json" | head -80
# Search molecules by name
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/search.json?q=imatinib" | head -80
# Get molecule by canonical SMILES
curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule.json?molecule_structures__canonical_smiles=CC(=O)Oc1ccccc1C(=O)O" | head -60
Target Lookup
Retrieve drug target information:
# Get target by ChEMBL ID
curl -s "https://www.ebi.ac.uk/chembl/api/data/target/CHEMBL2034.json" | head -60
# Search targets by gene name
curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search.json?q=EGFR" | head -80
# Get target by UniProt accession
curl -s "https://www.ebi.ac.uk/chembl/api/data/target.json?target_components__accession=P00533" | head -60
Bioactivity Data
Retrieve binding affinity, IC50, Ki, and other activity measurements:
# Get activities for a molecule (with pagination)
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity.json?molecule_chembl_id=CHEMBL25&limit=20" | head -100
# Get activities for a specific target
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity.json?target_chembl_id=CHEMBL2034&limit=20" | head -100
# Filter by activity type (IC50, Ki, Kd, EC50)
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity.json?molecule_chembl_id=CHEMBL941&standard_type=IC50&limit=10" | head -80
# Filter by potency threshold (pChEMBL value >= 6, i.e., activity <= 1 uM)
curl -s "https://www.ebi.ac.uk/chembl/api/data/activity.json?target_chembl_id=CHEMBL2034&pchembl_value__gte=6&limit=20" | head -80
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.
- 12d ago First seen · 129 lines · 90 tokens per session scan C ec24b010ba7e
chembl-drug is a skill published in the GitHub repository beita6969/ScienceClaw (898 stars, last pushed 3mo ago), licensed MIT. It adds 90 tokens to every session and 1,575 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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biomcp
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biomcp-research
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