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 jimmc414/Kosmos --skill zinc-databasegit clone --depth 1 https://github.com/jimmc414/KosmosWrote 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/jimmc414/kosmos/zinc-database)<a href="https://agentmods.dev/skills/jimmc414/kosmos/zinc-database"><img src="https://agentmods.dev/badge/skills/jimmc414/kosmos/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/jimmc414/kosmos/zinc-database"><img src="https://agentmods.dev/badge/skills/jimmc414/kosmos/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 | $0.03508 |
| Opus 5.5 | $0.00019 | $0.01403 |
| Sonnet 5.5 | $0.00009 | $0.00702 |
| Haiku 4.5 | $0.00005 | $0.00351 |
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 2mo 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) The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 2mo ago First seen · 399 lines · 47 tokens per session scan A 498afb950360
zinc-database is a skill published in the GitHub repository jimmc414/Kosmos (605 stars, last pushed 28d ago), with no licence file. It adds 47 tokens to every session and 3,508 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
zinc-database compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| zinc-databasejimmc414/Kosmos | Skill | 605 | 28d ago | none | A | 47 | Claude Code |
| tiledbvcfK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 62 | Claude Code, Codex |
| lamindbK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 58 | Claude Code, Codex |
| defining-cohort-phenotypesmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 191 | Claude Code |
| benchling-integrationsynthetic-sciences/openscience | Skill | 4.3k | 2d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| chembl-databasegoogle-deepmind/science-skills | Skill | 3.4k | 14d ago | Apache-2.0 | A | 53 | Claude Code, Codex |
| nvalchemi-data-storageNVIDIA/nvalchemi-toolkit | Skill | 204 | yesterday | Apache-2.0 | A | 90 | Claude Code |