concept-learning

concept-learning is a skill for Claude Code, Codex from shuishousong/zotero-ima-mcp. It costs 42 tokens per session (334 once invoked), scanned A, original, MIT.

A skill for combining how several research papers define, measure, and use one concept into a single concept note.

In plain words
What is it for?
Use it to build a cross-paper concept model, compare definitions and measurements, and record disagreements or unresolved questions.
Why use it?
Different papers may use the same term in different ways, and comparing them makes those differences visible.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build a cross-paper concept model, compare definitions and measurements, and record disagreements or unresolved questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shuishousong/zotero-ima-mcp/concept-learning
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 shuishousong/zotero-ima-mcp --skill concept-learning
Clone the repo
git clone --depth 1 https://github.com/shuishousong/zotero-ima-mcp

Made for: Claude Code, Codex.

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 concept-learning

README.md
[![agentmods](https://agentmods.dev/badge/skills/shuishousong/zotero-ima-mcp/concept-learning/github.svg)](https://agentmods.dev/skills/shuishousong/zotero-ima-mcp/concept-learning)
Your own site
<a href="https://agentmods.dev/skills/shuishousong/zotero-ima-mcp/concept-learning"><img src="https://agentmods.dev/badge/skills/shuishousong/zotero-ima-mcp/concept-learning/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 concept-learning

Your own site · 80×15
<a href="https://agentmods.dev/skills/shuishousong/zotero-ima-mcp/concept-learning"><img src="https://agentmods.dev/badge/skills/shuishousong/zotero-ima-mcp/concept-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 334 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.
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 $0.00042 $0.00334
Opus 5.5 $0.00017 $0.00134
Sonnet 5.5 $0.00008 $0.00067
Haiku 4.5 $0.00004 $0.00033

Measured 2mo ago against content hash aac2ffcceddf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

concept-learning 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 2mo 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/concept-learning/SKILL.md · 30 lines

What it actually says

concept-learning

跨文献建立概念模型,输出概念笔记并保存为 concept 分析。

触发条件

用户要求:这个概念在文献里怎么定义、跨文献理解某个概念、建立概念模型、概念对比。

流程

  1. literature_retrieve 检索包含该概念的文献。
  2. 逐篇提取:定义、测量/操作化、关键结果、争议。
  3. 整合成概念模型:概念定义谱系 / 测量方法谱系 / 共识与分歧 / 待解决问题。
  4. literature_analysis_write 写入:
    • analysisType: concept
    • question: 概念名
    • title: 概念名 + "概念模型"
    • managedContent: 概念笔记 Markdown(逐条标注来源)

输出要求

  • 每个定义/测量都标注来源文献 zoteroKey。
  • 概念定义若在不同文献间冲突,并列呈现而非调和。
  • 以 literature_wiki_write 生成 Wiki 词条时,须先 literature_wiki_context 确认来源。
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. 2mo ago First seen · 30 lines · 42 tokens per session scan A aac2ffcceddf

Subscribe to this mod's changes

concept-learning is a skill published in the GitHub repository shuishousong/zotero-ima-mcp (1 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 334 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.

Related

concept-learning compared with skills from other repositories

concept-learning next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
concept-learningshuishousong/zotero-ima-mcpSkill13mo agoMITA42Claude Code, Codex
literature-mentorbahayonghang/my-ai-cli-toolkitSkill1710d agoMITA121Claude Code, Codex
zotero-cli54yyyu/zotero-mcpSkill5.8k2d agoMITA93Claude Code, Codex
annotate-paper54yyyu/zotero-mcpSkill5.8k2d agoMITA82Claude Code, Codex
deeppapernote917Dhj/DeepPaperNoteSkill1.3ktodayMITA71Claude Code, Codex
paper-glossary917Dhj/DeepPaperNoteSkill1.3ktodayMITA46Claude Code, Codex
fin-ref-papercsmar432/finai-researchSkill1095d agoMITA47Claude Code, Codex