Local Knowledge Base Retriever
ConardLi/rag-skill
Answers questions from a local knowledge base folder by walking hierarchical index files and searching with grep, pdfplumber and pandas instead of loading whole files.
A skill your agent uses when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.
Install Ingest
$ npx skills add ZimoLiao/scholaraio --skill ingest -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZimoLiao/scholaraio ingest --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ingest .claude/skills/ingest && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .claude/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingestType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZimoLiao/scholaraio --skill ingest -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZimoLiao/scholaraio ingest --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ingest .agents/skills/ingest && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .agents/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZimoLiao/scholaraio --skill ingest -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZimoLiao/scholaraio ingest --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ingest .cursor/skills/ingest && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .cursor/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZimoLiao/scholaraio.git --path .claude/skills/ingest--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZimoLiao/scholaraio --skill ingest -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZimoLiao/scholaraio ingest --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ingest .gemini/skills/ingest && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .gemini/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZimoLiao/scholaraio ingestInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZimoLiao/scholaraio --skill ingest -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ingest .github/skills/ingest && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .github/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZimoLiao/scholaraio --skill ingest -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZimoLiao/scholaraio ingest --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZimoLiao/scholaraio.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ingest .opencode/skills/ingest && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ingest" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/ingest into .opencode/skills/ingest/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ingest", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ingest- GitHub stars
- 577
- Token cost
- ~1.3k tokens
- SKILL.md length
- 428 words
- Files
- 1
- Skills in repo
- 43
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.
- Works in 2 steps: 根据用户意图选择预设 → 执行流水线命令
- The user wants to process new papers
- SKILL.md covers 支持的文件格式, 执行逻辑 and 示例
- Calls pip
What it does
Ingest is an agent skill from ZimoLiao/scholaraio. Use when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Documents & Office, covering Email management, Intellectual property and Knowledge bases. It works with Microsoft Excel. The repository describes itself as: Scholar All-In-One: A research infrastructure for AI agents. The licence is MIT.
When your agent uses it
- The user wants to process new papers
- Proceedings from inbox queues into the knowledge base
- Run the ingest pipeline
- Rebuild indexes
Example prompts
- “/ingest”
Requirements
- Python 3
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- 根据用户意图选择预设
- 执行流水线命令
What it can do on your machine
Read from SKILL.md and the folder at commit 777628b. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ingest loads about 1.3k tokens when it runs. Until then it costs about 46 tokens; SKILL.md has 428 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ZimoLiao/scholaraio at commit 777628b, republished under its MIT licence (© ZimoLiao). 428 words, ~1,330 tokens.
Download SKILL.mdSave it as
.claude/skills/ingest/SKILL.md (or your agent's skills folder).- name
- ingest
- description
- Use when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.
入库文档
将 inbox 中的 PDF、Office 文档（DOCX/XLSX/PPTX）或 Markdown 文件处理入库。支持论文、专利、学位论文、一般文档和论文集（proceedings）。
支持的文件格式
| 格式 | 放入目录 | 处理方式 |
|---|---|---|
.pdf | data/spool/inbox/ 或 data/spool/inbox-doc/ | MinerU 转 Markdown |
.pdf / .md | data/spool/inbox-patent/ | 专利文献（按公开号去重） |
.pdf / .md | data/spool/inbox-proceedings/ | 论文集准备流程（先生成 proceeding.md + split_candidates.json） |
.docx .xlsx .pptx | data/spool/inbox-doc/ | MarkItDown 转 Markdown |
.md | 任意 inbox | 直接入库（跳过转换） |
执行逻辑
根据用户意图选择预设：
- 入库新文档（默认）：使用
ingest预设（= mineru, extract, dedup, ingest, embed, index） - 完整处理：使用
full预设（= mineru, extract, dedup, ingest, toc, l3, embed, index） - 仅重建索引：使用
reindex预设（= embed, index） - 仅内容富化：使用
enrich预设（= toc, l3, embed, index）
注意：
inbox-doc/始终使用专用步骤office_convert, mineru, extract_doc, ingest，不受 preset 影响。inbox-patent/和inbox-thesis/也有各自的固定流程。preset 中的 papers 级步骤（toc, l3）和 global 级步骤（embed, index）在处理完所有 inbox 后统一执行。- 入库新文档（默认）：使用
执行流水线命令：
scholaraio pipeline <preset> [--dry-run] [--no-api] [--force] [--inspect]可用预设：full | ingest | enrich | reindex
常用选项：
--dry-run— 预览处理，不写文件--no-api— 离线模式，跳过外部 API 查询--force— 强制重新处理（toc/l3 等步骤）--inspect— 展示处理详情--steps STEPS— 自定义步骤序列（逗号分隔），如--steps toc,l3,index--list— 列出所有可用步骤和预设
pipeline 当前会依次处理五个 inbox 目录：
data/spool/inbox/— 普通论文（有 DOI 才入库，无 DOI 且非 thesis 转 pending）data/spool/inbox-thesis/— 学位论文（跳过 DOI 去重，自动标记 thesis）data/spool/inbox-patent/— 专利文献（按公开号去重，自动标记 patent，跳过 DOI 去重）data/spool/inbox-doc/— 非论文文档（技术报告、讲义、Word/Excel/PPT、标准文档等，跳过 DOI 去重，LLM 生成标题/摘要）data/spool/inbox-proceedings/— 论文集（强制按 proceedings 处理；普通data/spool/inbox/不会当作 proceedings）
旧版
data/inbox*与data/pending/是迁移输入，不是当前正常 runtime 输入。先运行scholaraio migrate upgrade --migration-id <id> --confirm，再执行入库流程。论文类的 Stage-1 元数据提取由
ingest.extractor控制：regex：纯正则，最快，不调用 LLMauto：正则优先，关键字段缺失时再调用 LLMrobust：正则 + LLM 双跑，校正 OCR 错误并处理多 DOI 情况（默认）llm：纯 LLM 提取- 如果用户问“为什么标题 / 作者 / DOI 提取不准”，先检查这里的模式配置
论文集（proceedings）采用半自动两阶段流程：
- 第一阶段：
scholaraio pipeline ingest只负责把 PDF/MD 转成 configured proceedings library（fresh 默认data/libraries/proceedings/<Volume>/proceeding.md），并生成split_candidates.json - 此时不会自动拆成子论文；CLI 会显式提示等待 agent 审阅
split_candidates.json并生成split_plan.json - 第二阶段：由 agent/人工审阅结构后，执行
- 第一阶段：
scholaraio proceedings apply-split <proceeding_dir> <split_plan.json>- 这一步才会真正把子论文落到 configured proceedings library 的
<Volume>/papers/<Paper>/
- proceedings 拆分后支持半自动清洗流程：
- 先执行
scholaraio proceedings build-clean-candidates <proceeding_dir>- 该命令会生成
clean_candidates.json，用于汇总每个 child paper 的开头窗口、heading、缺失字段和结构信号 - 然后由 agent/人工审阅并生成
clean_plan.json - 最后执行
scholaraio proceedings apply-clean <proceeding_dir> <clean_plan.json>- 第一版支持的清洗动作是
keep/rename/reclassify/drop - agent 在这一步还可以顺手删除明显不合理的标签行，例如假
# Comment 2.、假# Reporter ... - 这里的“删除标签”只针对明显错误的独立 heading/tag 行，不改正文段落内容
- 推荐先做结构性清洗（保留/重命名/重分类/删除），再考虑作者、摘要、DOI 等元数据提纯
Office 文件处理流程（
data/spool/inbox-doc/中的 DOCX/XLSX/PPTX）：step_office_convert（MarkItDown）→ 转换为<stem>.mdstep_extract_doc（LLM 生成标题/摘要）step_ingest（写入 configured papers library，fresh 默认data/libraries/papers/）- 依赖：需安装
pip install 'markitdown[docx,pptx,xlsx]'
专利文献处理逻辑（
data/spool/inbox-patent/）：- 自动提取公开号（CN/US/EP/WO/JP/KR/DE/FR/GB/TW/IN/AU 等格式）
- 按公开号去重（非 DOI），跳过 DOI 检查
- 自动标记
paper_type: patent
无 DOI 论文的处理逻辑：
- 来自
data/spool/inbox-thesis/→ 直接标记为 thesis 并入库 - 来自
data/spool/inbox-doc/→ 标记为 document 类型，LLM 生成标题和摘要后入库 - 来自
data/spool/inbox/→ LLM 分析判断是否 thesis- 是 thesis → 标记并入库
- 不是 thesis → 转入
data/spool/pending/待人工确认
- 来自
超长 PDF 会在 MinerU 转换前按需自动切分后合并：
Show full SKILL.md (113 more words)Show less
- 本地 MinerU 按
chunk_page_limit（默认 >100 页） - 云端 MinerU 同时遵循
>600 页和>200MB两个限制，并在仅超大小时估算更安全的分片页数
- 如果
config.translate.auto_translate: true，只要本次 pipeline 包含 inbox 步骤并成功入库新论文，系统会在 papers 阶段自动插入translate，位置在embed/index之前：
- 只翻译本次新入库论文，不会顺手重翻整个库
- 目标语言读取
translate.target_lang - 这是配置驱动行为，不需要额外改 preset
示例
用户说："我放了几篇新论文到 inbox，帮我入库"
→ 执行 pipeline ingest
用户说："把这个网页/在线 PDF 直接收进库里" → 先用当前 Agent 的原生网页读取能力获取内容；只有用户明确要求持久化时，才把可审查的正文保存为受支持的 inbox 文件并走正常 ingest 流程
用户说："我在校园网/机构网，帮我从 DOI 或出版社页面下载正版论文 PDF"
→ 使用 scholaraio fetch-pdf <doi-or-url> --direct；如果要马上入库，加 --ingest。这个命令只利用用户当前合法访问上下文，不做访问绕过，也不需要 Paper Fetch Skill 或 PDF 转换功能。
用户说："把新论文全部处理完，包括提取目录和结论"
→ 执行 pipeline full
用户说："我有几份技术报告放在 inbox-doc 里了"
→ 执行 pipeline ingest（pipeline 自动处理五个 inbox 目录）
用户说："我把一个 Word 文档放进 inbox-doc 了"
→ 执行 pipeline ingest（自动用 MarkItDown 转换 DOCX）
用户说："我有几篇专利放在 inbox-patent 了"
→ 执行 pipeline ingest（自动处理五个 inbox 目录，专利按公开号去重）
用户说："我有一本文集放在 inbox-proceedings 里"
→ 先执行 pipeline ingest，等生成 split_candidates.json 后由 agent 审阅，再执行 scholaraio proceedings apply-split ...
用户说："重新建索引"
→ 执行 pipeline reindex
© ZimoLiao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/ingest of ZimoLiao/scholaraio.
Open the folder on GitHubat commit 777628b
Compare with similar skills
Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ingest this skillZimoLiao/scholaraio | 577 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Local Knowledge Base RetrieverConardLi/rag-skill | 715 | 2 repos | ~1.7k | Automated safety check: Pass | None | |
| aai-cli Microsoft 365aai-labs/agent-barn | 109 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Tencent DocsLeoYeAI/openclaw-master-skills | 2.2k | — | ~3k | Automated safety check: Pass | MIT | |
| Knowledge Ingestevolution-foundation/evo-nexus | 545 | — | ~922 | Automated safety check: Pass | Custom licence | |
| Paper2patent7toCR/paper2patent | 654 | — | ~2.5k | Automated safety check: Pass | MIT |
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Works with
Questions about Ingest
What does Ingest do?
A skill your agent uses when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes. Ingest is an agent skill from ZimoLiao/scholaraio. Use when the user wants to process new papers, patents, theses, documents, or proceedings from inbox queues into the knowledge base, run the ingest pipeline, or rebuild indexes.
When should I use Ingest?
Ingest fits situations like: the user wants to process new papers; proceedings from inbox queues into the knowledge base; run the ingest pipeline; rebuild indexes.
How do I install Ingest in Claude Code?
Run `npx skills add ZimoLiao/scholaraio --skill ingest -a claude-code`. Or copy the skill folder (.claude/skills/ingest in ZimoLiao/scholaraio) into .claude/skills/ingest in your project. Claude Code loads it when a task matches its description.
How do I install Ingest in Codex?
Run `npx skills add ZimoLiao/scholaraio --skill ingest -a codex`. Or copy the skill folder (.claude/skills/ingest in ZimoLiao/scholaraio) into .agents/skills/ingest in your project. Codex loads it when a task matches its description.
Can I use Ingest in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZimoLiao/scholaraio --skill ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ingest, .gemini/skills/ingest, .github/skills/ingest and .opencode/skills/ingest in your project.
What does Ingest need to run?
Going by SKILL.md and its folder, Ingest needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
Does Ingest access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Ingest safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ingest use?
Ingest is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ingest use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Ingest?
Skills that share tags, products or a category with Ingest: Local Knowledge Base Retriever (ConardLi/rag-skill, 715 stars), aai-cli Microsoft 365 (aai-labs/agent-barn, 109 stars), Tencent Docs (LeoYeAI/openclaw-master-skills, 2.2k stars) and Knowledge Ingest (evolution-foundation/evo-nexus, 545 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ingest?
ZimoLiao (a GitHub user) maintains it in ZimoLiao/scholaraio, which has 577 GitHub stars. The repository holds 43 skills in this directory. The repository was last updated on September 25, 2026.
Source: ZimoLiao/scholaraio on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.