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 DeepXiv/deepxiv_sdk --skill deepxiv-fa-drugsgit clone --depth 1 https://github.com/DeepXiv/deepxiv_sdkWrote 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/deepxiv/deepxiv_sdk/deepxiv-fa-drugs)<a href="https://agentmods.dev/skills/deepxiv/deepxiv_sdk/deepxiv-fa-drugs"><img src="https://agentmods.dev/badge/skills/deepxiv/deepxiv_sdk/deepxiv-fa-drugs/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/deepxiv/deepxiv_sdk/deepxiv-fa-drugs"><img src="https://agentmods.dev/badge/skills/deepxiv/deepxiv_sdk/deepxiv-fa-drugs.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 | $0.00044 | $0.01441 |
| Opus 5.5 | $0.00018 | $0.00576 |
| Sonnet 5.5 | $0.00009 | $0.00288 |
| Haiku 4.5 | $0.00004 | $0.00144 |
Grade A, and why
deepxiv-fa-drugs scanned grade A with 0 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 5d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DeepXiv · Drugs (drugs)
~257k US drug labels (openFDA SPL, latest version per set_id; Synced daily; exact counts are in corpus (live)). Indications, contraindications, interacting drugs, boxed-warning gist and one-line summaries are model-extracted; route / product type / pharmacologic class come from the openfda mapping block.
Corpus: 256,993 documents, updated 2026-10.
Setup
pip install -U deepxiv-sdk # deepxiv registers a token on first use
With a registered key (https://data.rag.ac.cn/register), search and read are fair use: 60/min, 5 at once, 5,000/day; on the auto-registered token they spend the deepxiv daily limit at the credits listed below. ask draws on the daily ask allowance (resets 00:00 UTC; a site-wide daily total can run out early at peak times), or 3 lifetime trial asks on the auto-registered token. On 429, back off for Retry-After seconds. Data goes to stdout; cost, quota and sources go to stderr. Exit 0 ok, 1 API error, 2 usage error. The general CLI guide is the deepxiv-cli skill.
Start here
deepxiv fa search drugs "GLP-1 weight loss" -F has_boxed_warning=true -k 5
deepxiv fa search drugs "anticoagulant" -F route=ORAL -F is_rx=true -k 5
deepxiv fa read drugs f5e548d0-cc79-4c34-a3f5-e20a5b8b6564 -l brief
deepxiv fa ask "Which drugs interact with warfarin according to their labels?" -d drugs
Free samples: ids f5e548d0-cc79-4c34-a3f5-e20a5b8b6564; queries semaglutide weight loss.
Search
deepxiv fa search drugs "query" [-F FILTER]... [-k N] [--offset N] [--mode M] [--head] [--json]
Modes: hybrid, dense, bm25. Up to 100 hits. Cost 2 (with --head: 3).
An empty query is rejected; use "*" to list by filters only. Filters combine with AND; an undeclared field exits 2.
| filter | type | -F syntax |
meaning |
|---|---|---|---|
route |
keyword | k=v, k=a,b |
Route of administration Values: ORAL, TOPICAL, INTRAVENOUS, INTRAMUSCULAR, SUBCUTANEOUS, OPHTHALMIC, NASAL, RESPIRATORY (INHALATION) …. |
product_type |
keyword | k=v, k=a,b |
Product type; UNMAPPED = the SPL has no openfda mapping block Values: HUMAN PRESCRIPTION DRUG, HUMAN OTC DRUG, CELLULAR THERAPY, UNMAPPED. |
is_rx |
bool | k=v |
Prescription-only |
has_boxed_warning |
bool | k=v |
Has a boxed warning |
pharm_class_epc |
keyword | k=v, k=a,b |
Pharmacologic class (EPC) |
effective_year |
integer | k=v, k>=n, k=n..m |
Label version year, range |
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.
- 5d ago First seen · 94 lines · 0 tokens per session scan A 34bfeb11b4b4
deepxiv-fa-drugs is a skill published in the GitHub repository DeepXiv/deepxiv_sdk (838 stars, last pushed 6d ago), licensed MIT. It adds 44 tokens to every session and 1,441 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-20.
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