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 airas-org/airas --skill discover-papersgit clone --depth 1 https://github.com/airas-org/airasWrote 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/airas-org/airas/discover-papers)<a href="https://agentmods.dev/skills/airas-org/airas/discover-papers"><img src="https://agentmods.dev/badge/skills/airas-org/airas/discover-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/airas-org/airas/discover-papers"><img src="https://agentmods.dev/badge/skills/airas-org/airas/discover-papers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00333 |
| Opus 5 | $0.00023 | $0.00167 |
| Sonnet 5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
discover-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 6d 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
Discover papers
- Write queries yourself — 2-4 queries, each 1-4 keywords: academic search backends match keywords, not sentences. Cover the topic's method, its task, and alternative phrasings.
- Search:
search_papers(no key needed). Checksearch_errorsper source instead of assuming every backend answered. - Read:
fetch_paper_fulltext, passing bothdoiandpdf_urlwhen the search row has both — a DOI alone often returns abstract-only. Checkstatus:abstract_onlymeans you are about to write about a paper you only skimmed; say so or read elsewhere. Keepmax_charsat its default unless one paper must be read in full. - Distill each paper into a
ResearchStudyentry yourself. The shape shares no key names withsearch_papersrows:authors,citations,arxiv_idgo undermeta_data; onlytitleis required, so{"title", "abstract"}is valid for a paper you did not fully read. Callget_input_schemabefore building by hand.
Output: a research_study_list.
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.
- 6d ago First seen · 25 lines · 45 tokens per session scan A 5b9ce8e0552b
discover-papers is a skill published in the GitHub repository airas-org/airas (33 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 333 once invoked, about $0.0002 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 2026-09-04.
Other skills, from other repositories
research-proof
Turn vague research ideas, math-heavy claims, AI-lab style agent loops, benchmark claims, causal claims, prototype-readiness claims, design research, prompt-injection-sensitive evidence reviews, and medical-research style questions into falsifiable proof programs with fixed Claim/Verifier/Current…
proof-checker
A mathematical proof review and repair workflow for LaTeX documents. It checks whether a proof has valid reasoning, addresses identified gaps, reviews the fixes, and produces an audit report.
research-lit
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
auto-paper-improvement-loop
An automated editing cycle for a compiled research paper: an external language model reviews it, fixes are applied, and the paper is compiled again.
paper-illustration
A workflow for generating academic illustrations, such as architecture diagrams and method visuals, with image generation and repeated review. Claude plans and checks the figure during the process.
paper-write
A workflow for writing a research paper section by section in LaTeX, a text format used to prepare structured technical documents. It starts from a paper outline and supports several academic venues and citation sources.