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 LeonChaoX/qinyan-academic-skills --skill zinc-databasegit clone --depth 1 https://github.com/LeonChaoX/qinyan-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/leonchaox/qinyan-academic-skills/zinc-database)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/zinc-database"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/zinc-database/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/leonchaox/qinyan-academic-skills/zinc-database"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/zinc-database.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 | $0.00047 | $0.03522 |
| Opus 5 | $0.00023 | $0.01761 |
| Sonnet 5 | $0.00009 | $0.00704 |
| Haiku 4.5 | $0.00005 | $0.00352 |
Grade A, and why
zinc-database 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 7d 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.
curl "https://cartblanche22.docking.org/[email protected]_fields=smiles,zinc_id" Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run(['curl', url], capture_output=True, text=True) This is a copy
95% identical to zinc-database — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 403 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.
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
This skill primarily focuses on ZINC22, the most current and comprehensive version.
Access Methods
Web Interface
Primary access point: https://zinc.docking.org/ Interactive searching: https://cartblanche22.docking.org/
API Access
All ZINC22 searches can be performed programmatically via the CartBlanche22 API:
Base URL: https://cartblanche22.docking.org/
All API endpoints return data in text or JSON format with customizable fields.
Core Capabilities
1. Search by ZINC ID
Retrieve specific compounds using their ZINC identifiers.
Web interface: https://cartblanche22.docking.org/search/zincid
API endpoint:
curl "https://cartblanche22.docking.org/[email protected]_fields=smiles,zinc_id"
What ships with it
1 file 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.
- 7d ago First seen · 403 lines · 47 tokens per session scan A e097b573b1ab
zinc-database is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (880 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 3,522 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). It is 95% identical to zinc-database, differing in 3 lines, and is treated as a copy.
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