scientific-taxonomy

scientific-taxonomy is a skill for Codex from CanXiangCC/aminer-open-skill. It costs 93 tokens per session (1,319 once invoked), scanned A, original, MIT.

A tool for arranging a supplied collection of scientific papers into a topic hierarchy written in Markdown. It uses paper titles and complete abstracts, with publication details and links when available.

In plain words
What is it for?
Use it to classify and organize papers by research area. Each paper can be placed in the hierarchy without displaying its internal identifier.
Why use it?
It turns a paper collection into a structured map of research topics, while making clear when the information provided is incomplete.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to classify and organize papers by research area. Each paper can be placed in the hierarchy without displaying its internal identifier.

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Install with agentmods
npx agentmods add skills/canxiangcc/aminer-open-skill/scientific-taxonomy
Install

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.

Any agent
npx skills add CanXiangCC/aminer-open-skill --skill scientific-taxonomy
Clone the repo
git clone --depth 1 https://github.com/CanXiangCC/aminer-open-skill

Made for: Codex.

Its marketplace also offers this one on its own, as the plugin scientific-taxonomy/plugin install scientific-taxonomy after adding the marketplace above.

Wrote 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.

agentmods badge for scientific-taxonomy

README.md
[![agentmods](https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/scientific-taxonomy/github.svg)](https://agentmods.dev/skills/canxiangcc/aminer-open-skill/scientific-taxonomy)
Your own site
<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.

agentmods 80×15 button for scientific-taxonomy

Your own site · 80×15
<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>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,319 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash 9b8cc32faa91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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.

skills/scientific-taxonomy/SKILL.md · 85 lines

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. An abstract_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 AMiner paper_id exists, construct https://www.aminer.cn/pub/{paper_id}.

Before classifying, check whether the supplied information is sufficient:

  1. 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.
  2. Treat abstract_slice, search snippets, and visibly truncated abstracts as insufficient taxonomy input. For AMiner search results, invoke aminer-academic-search and use paper_detail with each selected AMiner paper ID to retrieve the complete abstract before classifying. Follow that Skill's authorization, pricing, and high-cost confirmation rules.
  3. 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.
  4. Enrich only papers already supplied by the user. Do not add related papers unless the user explicitly asks.
  5. 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.

Read the full file on GitHub · 85 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 85 lines · 93 tokens per session scan A 9b8cc32faa91

Subscribe to this mod's changes

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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