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 openalx-bibliometricsgit 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/openalx-bibliometrics)<a href="https://agentmods.dev/skills/xjtulyc/awesome-rosetta-skills/openalx-bibliometrics"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/openalx-bibliometrics/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/openalx-bibliometrics"><img src="https://agentmods.dev/badge/skills/xjtulyc/awesome-rosetta-skills/openalx-bibliometrics.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 | $0.00033 | $0.06276 |
| Opus 5 | $0.00016 | $0.03138 |
| Sonnet 5 | $0.00007 | $0.01255 |
| Haiku 4.5 | $0.00003 | $0.00628 |
Grade A, and why
openalx-bibliometrics 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(base_url, 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.
- 9d ago First seen · 679 lines · 33 tokens per session scan A d1aa7395fbaf
openalx-bibliometrics is a skill published in the GitHub repository xjtulyc/awesome-rosetta-skills (34 stars, last pushed 5mo ago), with no licence file. It adds 33 tokens to every session and 6,276 once invoked, about $0.0002 per session on Opus 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 2026-09-03.
Other skills, from other repositories
template-literature-meta-analysis
Literature meta-analysis exemplar — multi-engine retrieval, dedup, full-text, bibliometrics, embeddings, optional knowledge graph. Default term: modafinil.
journal-cover-letter-skill
Create, revise, benchmark, or check a cover letter for an academic journal submission from manuscript files. Use whenever a user wants a journal submission letter, asks to tailor a cover letter to a target journal, provides manuscript materials and asks for a letter, wants an existing academic cover letter improved…
journal-cover-letter-skill-trainer
Improve, extend, or benchmark the journal-cover-letter-skill from paired manuscript materials and expert-authored cover letters. Use whenever a user wants to train or iterate the Cover Letter Skill, compare an AI letter with an expert letter, strengthen the Research, Review, or Bibliometrics route, add a new writing…
running-cluster-experiments
Use when planning, budgeting, submitting or resuming a multi-job experiment campaign on a Slurm/HPC cluster — sizing walltime, shaping jobs and arrays, deciding what to submit first, or after a job hit its walltime, produced no results, silently ran the wrong configuration, or got the wrong number of GPUs.
verifying-proofs
Use when checking the mathematics of a paper rather than its claims — verifying a theorem's proof, an algebraic derivation, a bound, or an appendix full of lemmas. Triggers on "check this proof", "verify the derivation", "is Lemma 3 correct", "does the algebra work", a paper directory containing theorem/proof…
explaining-derivations
Use when a proof or derivation needs to be made explicit step by step — expanding a paper's algebra for a reader without formal mathematical training, producing a worked companion document, or establishing whether a derivation can be justified at all. Triggers on "explain this derivation", "walk me through this…