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 CanXiangCC/aminer-open-skill --skill scientific-taxonomygit clone --depth 1 https://github.com/CanXiangCC/aminer-open-skillWrote 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/canxiangcc/aminer-open-skill/scientific-taxonomy)<a href="https://agentmods.dev/skills/canxiangcc/aminer-open-skill/scientific-taxonomy"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/scientific-taxonomy/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/canxiangcc/aminer-open-skill/scientific-taxonomy"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/scientific-taxonomy.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 | $0.00093 | $0.01319 |
| Opus 5 | $0.00046 | $0.00660 |
| Sonnet 5 | $0.00019 | $0.00264 |
| Haiku 4.5 | $0.00009 | $0.00132 |
Grade A, and why
scientific-taxonomy 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 11d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scientific Taxonomy
Organize a supplied collection of scientific papers into one coherent topic hierarchy and write the result as Markdown.
Input readiness
Build the taxonomy from these fields only:
paper_id: optional stable identifier used internally for deduplication and AMiner URL construction. Do not display it in the Markdown paper list.title: required for every paper.abstract: the complete abstract, required when it can be retrieved. Anabstract_slice, snippet, or truncated preview is not a complete abstract.venue: conference or journal name, required when it can be retrieved.year: publication year, required when it can be retrieved.aminer_url: preferred paper link. If absent and a valid AMinerpaper_idexists, constructhttps://www.aminer.cn/pub/{paper_id}.
Before classifying, check whether the supplied information is sufficient:
- When the user supplies local PDFs instead of titles and abstracts, invoke an available local PDF-extraction tool or Skill first. Consume its structured title and abstract output; do not implement PDF parsing in this Skill.
- Treat
abstract_slice, search snippets, and visibly truncated abstracts as insufficient taxonomy input. For AMiner search results, invokeaminer-academic-searchand usepaper_detailwith each selected AMiner paper ID to retrieve the complete abstract before classifying. Follow that Skill's authorization, pricing, and high-cost confirmation rules. - When a paper is supplied only as a DOI, arXiv ID, URL, or title, use an available AMiner Skill or AMiner API to resolve the paper and retrieve its complete abstract. Prefer a free lookup route for identity resolution, then use full paper details when the free result contains only an abstract slice.
- Enrich only papers already supplied by the user. Do not add related papers unless the user explicitly asks.
- Never invent or expand an abstract. If full-abstract retrieval is unavailable or returns no abstract, classify from the verified title and available slice, then record the affected paper titles in a short metadata note without visibly displaying paper IDs.
What ships with it
2 files 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.
- 11d ago First seen · 85 lines · 93 tokens per session scan A 9b8cc32faa91
scientific-taxonomy is a skill published in the GitHub repository CanXiangCC/aminer-open-skill (60 stars, last pushed 4d ago), licensed MIT. It adds 93 tokens to every session and 1,319 once invoked, about $0.0005 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 2026-08-30.
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