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 0xmariowu/Autosearch --skill papersgit clone --depth 1 https://github.com/0xmariowu/AutosearchWrote 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/0xmariowu/autosearch/papers)<a href="https://agentmods.dev/skills/0xmariowu/autosearch/papers"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/papers/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/0xmariowu/autosearch/papers"><img src="https://agentmods.dev/badge/skills/0xmariowu/autosearch/papers.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 | $0.00000 | $0.00399 |
| Opus 5 | $0.00000 | $0.00199 |
| Sonnet 5 | $0.00000 | $0.00080 |
| Haiku 4.5 | $0.00000 | $0.00040 |
Grade A, and why
papers 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 9d 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.
What it actually says
Skill Attribution
Source: self-written for task F203.
name: papers description: Multi-source academic paper search (arxiv, pubmed, biorxiv, medrxiv, google_scholar) via paper-search-mcp. version: 1 languages: [en, mixed] methods:
- id: via_paper_search impl: methods/via_paper_search.py requires: [] rate_limit: {per_min: 20, per_hour: 300} fallback_chain: [via_paper_search] when_to_use: query_languages: [en, mixed] query_types: [academic-paper, research, technical-deep-dive] domain_hints: [science, medicine, biology, cs, physics, chem] quality_hint: typical_yield: high chinese_native: false layer: leaf domains: [academic] scenarios: [paper-collection, survey] model_tier: Fast experience_digest: experience.md
Overview
papers is the broad academic search channel for research-heavy queries that benefit from cross-checking multiple paper sources instead of relying on a single index. It aggregates arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar so the planner can surface preprints, medical literature, and general scholarly coverage through one paper-oriented channel.
Known Quirks
- Google Scholar can rate-limit or degrade if queried too aggressively, so this channel uses conservative limits.
- bioRxiv can be flaky on some requests and may intermittently return no results even when related sources succeed.
- Overlap with the standalone
arxivchannel is intentional; duplicate arXiv fetches are acceptable because reranking dedupes by URL later.
Quality Bar
- Evidence items have non-empty title and url.
- No crash on empty or malformed API response.
- Source channel field matches the channel name.
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.
- 9d ago First seen · 44 lines · 0 tokens per session scan A afbcabbe051f
papers is a skill published in the GitHub repository 0xmariowu/Autosearch (43 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 399 tokens. 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 2026-08-30.
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