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 xjtulyc/awesome-rosetta-skills --skill literature-searchgit clone --depth 1 https://github.com/xjtulyc/awesome-rosetta-skillsWrote 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/xjtulyc/awesome-rosetta-skills/literature-search)<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/literature-search"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/literature-search/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/xjtulyc/awesome-rosetta-skills/literature-search"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/literature-search.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 | $0.00072 | $0.05171 |
| Opus 5.5 | $0.00029 | $0.02068 |
| Sonnet 5.5 | $0.00014 | $0.01034 |
| Haiku 4.5 | $0.00007 | $0.00517 |
Grade A, and why
literature-search scanned grade A with 1 finding 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 1mo 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.
resp = requests.get(OPENALEX_BASE, params=params, timeout=30) The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 1mo ago First seen · 676 lines · 72 tokens per session scan A 51d6df95b969
literature-search is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (34 stars, last pushed 6mo ago), with no licence file. It adds 72 tokens to every session and 5,171 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
citeguard-verify
Verify citations in scientific or technical writing against scholarly sources. Use when a user asks to check whether papers exist, audit bibliographic metadata, validate DOI/arXiv identifiers, inspect a bibliography or reference list, verify citations suggested by an agent, or assess whether cited papers support…
citeguard-maintain
Maintain and release the CiteGuard repository. Use only when working inside a CiteGuard source checkout on support-evaluation datasets, human-review packets, calibration, release gates, package smoke tests, MCP registry metadata, or CiteGuard contributor workflows. Do not use for ordinary citation verification.
scholar-lab-radar
Profile a research lab (a professor, or a school/department) over the last N years by collecting every paper from OpenAlex, structuring it into a temporal knowledge graph (ontology) — Papers, Researchers, Topics, Themes, Methods, Venues, Citations — and synthesizing a grounded report of the lab's year-by-year output…
interpreting-errors
How to read this server's error and skipped shapes (searchpapers, getpaper) and recover.
next-cache-components-optimizer
Optimize the meaningful UI available immediately from a Next.js route on an initial load (hard navigation) or named client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route and entry point at a time; the shipped test then guards…
deep-science-writer
Scientific literature pipeline on Scopus, Exa, OpenAlex, Semantic Scholar and AnySearch: map a field (themes, foundational papers, research groups, gaps), find verbatim gap quotes and draft a positioning narrative for an Introduction or proposal, build a course reading list from a syllabus, or run the full manuscript…