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 shuishousong/zotero-ima-mcp --skill concept-learninggit clone --depth 1 https://github.com/shuishousong/zotero-ima-mcpWrote 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/shuishousong/zotero-ima-mcp/concept-learning)<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.
<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>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 | $0.00042 | $0.00334 |
| Opus 5 | $0.00021 | $0.00167 |
| Sonnet 5 | $0.00008 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00033 |
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 10d 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.
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
literature_retrieve检索包含该概念的文献。- 逐篇提取：定义、测量/操作化、关键结果、争议。
- 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。
literature_analysis_write写入：analysisType:conceptquestion: 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。
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.
- 10d ago First seen · 30 lines · 42 tokens per session scan A aac2ffcceddf
concept-learning is a skill published in the GitHub repository shuishousong/zotero-ima-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 42 tokens to every session and 334 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
literature-mentor
An interactive reading assistant for understanding one academic paper, especially in computer science, deep learning, and automation.
zotero-cli
Read and write a Zotero library from the shell with the zotero-cli command - search papers by keyword or meaning, read PDF full text and page ranges, get and set metadata, manage collections, tags, notes and annotations, add items by DOI/URL/ISBN, and export bibliographies. Use whenever the user asks about their…
deeppapernote
Generate a high-quality deep-reading note for a single paper and write it into an Obsidian-style vault. Use when the user gives a paper title, DOI, URL, arXiv ID, Zotero item, or local PDF and wants a polished Markdown note with strong structure, evidence-based analysis, and figure placeholders.
paper-glossary
Use when building reusable Obsidian glossary notes from an existing paper source manifest, optionally with a raw-sections override, especially when a reader needs a reviewed shortlist before glossary notes and article links are changed.
fin-ref-paper
A reference-management tool for economics and finance research documents. It extracts citation details from research files and creates a references.bib file in formats such as BibTeX, JF, JFE, RFS, or GB/T 7714.
paperseek
LLM literature-search workflow router for PaperSeek CLI and local Web UI. Use when users ask to search papers, find literature, run natural-language academic search, diagnose PaperSeek configuration, inspect PaperSeek source results, export ranked paper lists, or explore citation maps. Guides agents to call paperseek…