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 AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-zinc-dbgit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/alterlab-ieu/alterlab-academic-skills/alterlab-zinc-db)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-academic-skills/alterlab-zinc-db"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-zinc-db/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/alterlab-ieu/alterlab-academic-skills/alterlab-zinc-db"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-academic-skills/alterlab-zinc-db.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00085 | $0.04161 |
| Opus 5 | $0.00043 | $0.02080 |
| Sonnet 5 | $0.00017 | $0.00832 |
| Haiku 4.5 | $0.00009 | $0.00416 |
Grade A, and why
alterlab-zinc-db scanned grade A 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Read WebFetch Bash(curl:*) Bash(python:*) Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
out = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 432 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ZINC Database
Overview
ZINC is a freely accessible repository of 230M+ purchasable compounds maintained by UCSF. Search by ZINC ID or SMILES, perform similarity searches, download 3D-ready structures for docking, discover analogs for virtual screening and drug discovery.
Scripts
scripts/query_zinc.py — query the ZINC22 CartBlanche API via form-encoded POST (stdlib only, JSON to stdout):
python scripts/query_zinc.py id ZINC000019632618 # ZINC-ID lookup
python scripts/query_zinc.py smiles "c1ccccc1" --dist 3 # SMILES similarity search
python scripts/query_zinc.py random --count 100 --subset lead-like # random sample
Every CartBlanche search is asynchronous. Each call returns a JSON task handle
({"task": "<uuid>"}); the result rows are assembled server-side and rendered in the
web UI at https://cartblanche22.docking.org. There is no plain-text polling endpoint —
the task route serves the single-page app. Use the script to submit searches and obtain
the task id, then open the UI to retrieve/export rows, or use the bulk file repository
(below) for programmatic large-scale retrieval.
When to Use This Skill
This skill should be used when:
- Virtual screening: Finding compounds for molecular docking studies
- Lead discovery: Identifying commercially-available compounds for drug development
- Structure searches: Performing similarity or analog searches by SMILES
- Compound retrieval: Looking up molecules by ZINC IDs or supplier codes
- Chemical space exploration: Exploring purchasable chemical diversity
- Docking studies: Accessing 3D-ready molecular structures
- Analog searches: Finding similar compounds based on structural similarity
- Supplier queries: Identifying compounds from specific chemical vendors
- Random sampling: Obtaining random compound sets for screening
Database Versions
ZINC has evolved through multiple versions:
- ZINC22 (Current): Largest version with 230+ million purchasable compounds and multi-billion scale make-on-demand compounds
- ZINC20: Still maintained, focused on lead-like and drug-like compounds
- ZINC15: Predecessor version, legacy but still documented
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 432 lines · 85 tokens per session scan A e2cb511587a8
alterlab-zinc-db is a skill published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 7d ago), licensed MIT. It adds 85 tokens to every session and 4,161 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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