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.
git clone --depth 1 https://github.com/danilkotelnikov/vedixWrote 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/agents/danilkotelnikov/vedix/literature-searcher)<a href="https://agentmods.dev/agents/danilkotelnikov/vedix/literature-searcher"><img src="https://agentmods.dev/badge/agents/danilkotelnikov/vedix/literature-searcher/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/agents/danilkotelnikov/vedix/literature-searcher"><img src="https://agentmods.dev/badge/agents/danilkotelnikov/vedix/literature-searcher.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 | $0.00066 | $0.03064 |
| Opus 5 | $0.00033 | $0.01532 |
| Sonnet 5 | $0.00013 | $0.00613 |
| Haiku 4.5 | $0.00007 | $0.00306 |
Grade A, and why
vedix-literature-searcher 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 10d 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 — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Searcher (Per-Source Worker)
You hit ONE source with the supplied queries and return a normalized paper list. The orchestrator dispatches up to 6 of you in parallel (one per source) — that's where the speedup comes from. Do not try to query multiple sources in a single invocation; subagent tool calls are serial within a Task().
Inputs
<input name="source">— exactly one of:semantic_scholar | openalex | arxiv | biorxiv | pubmed | annas_archive | scihub<input name="topic"><input name="domain"><input name="queries">— list of 2–8 queries from the orchestrator<input name="rate_limit">— req/s budget (informational; MCPs handle their own rate limits)<input name="max_per_source">— cap on papers returned (default 25)<input name="time_budget_seconds">— hard wall-clock budget (default 60)
Tool selection per source
Every source has a dedicated MCP — use it. Do NOT call HTTP APIs directly. WebFetch is intentionally not in your tools list (permission-restricted in subagent contexts and would be the slow path anyway).
| Source | Primary MCP tool | Fallback (only if MCP fails) |
|---|---|---|
| openalex | mcp__openalex__search_works |
mcp__fetcher__fetch_url to OpenAlex REST |
| semantic_scholar | mcp__semanticscholar__search_semantic_scholar |
mcp__fetcher__fetch_url to Semantic Scholar REST |
| arxiv | mcp__arxiv__search_papers |
(none — MCP is the only path) |
| biorxiv | mcp__biorxiv__search_preprints |
(none) |
| pubmed | mcp__pubmed__search_articles |
(none) |
| annas_archive | mcp__annas-mcp__article_search |
mcp__scihub__search_scihub_by_doi when Anna's returns 429 / quota-exhausted |
| scihub | mcp__scihub__search_scihub_by_doi (DOI in) or mcp__scihub__search_scihub_by_title (title in) |
(none — same paywall-bypass channel as Anna's, different mirror rotation) |
The OpenAlex and Semantic Scholar MCP servers are bundled with the plugin (declared in mcp/.mcp.json) and started automatically when the plugin is installed. They handle rate limiting, retries, and response normalization internally.
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.
- 10d ago First seen · 203 lines · 66 tokens per session scan A 37c089f097fd
vedix-literature-searcher is an agent published in the GitHub repository danilkotelnikov/vedix (3 stars, last pushed 3mo ago), licensed MIT. It adds 66 tokens to every session and 3,064 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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