Add Enrichment
simstudioai/sim
Add a code-defined table enrichment (registry entry) under apps/sim/enrichments/ backed by an ordered provider cascade, ensuring every provider tool it calls has hosted-key support.
A skill your agent uses when the user wants LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers.
MITAuto-check passed
Install Enrich
$ npx skills add ZimoLiao/scholaraio --skill enrich -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZimoLiao/scholaraio enrich --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/enrich .claude/skills/enrich && 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 "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .claude/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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/enrichType 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 enrich -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZimoLiao/scholaraio enrich --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/enrich .agents/skills/enrich && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .agents/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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 enrich -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZimoLiao/scholaraio enrich --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/enrich .cursor/skills/enrich && 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 "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .cursor/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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/enrich--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 enrich -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZimoLiao/scholaraio enrich --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/enrich .gemini/skills/enrich && 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 "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .gemini/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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 enrichInstalls 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 enrich -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/enrich .github/skills/enrich && 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 "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .github/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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 enrich -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 enrich --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/enrich .opencode/skills/enrich && 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 "enrich" agent skill from https://github.com/ZimoLiao/scholaraio/tree/main/.claude/skills/enrich into .opencode/skills/enrich/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "enrich", 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
enrich- GitHub stars
- 577
- Token cost
- ~412 tokens
- SKILL.md length
- 112 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 LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers.
- Works in 2 steps: 解析用户意图 → 确定处理范围
- The user wants LLM-based metadata enrichment
- SKILL.md covers 执行逻辑 and 示例
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Enrich is an agent skill from ZimoLiao/scholaraio. Use when the user wants LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers.
Its SKILL.md is about 410 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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 LLM-based metadata enrichment
- Table-of-contents extraction
- L3 conclusion extraction
- Abstract backfilling for library papers
Example prompts
- “/enrich”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- 解析用户意图
- 确定处理范围
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Enrich loads about 412 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 112 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). 112 words, ~412 tokens.
Download SKILL.mdSave it as
.claude/skills/enrich/SKILL.md (or your agent's skills folder).- name
- enrich
- description
- Use when the user wants LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers.
富化论文内容
通过 LLM 提取论文的目录结构（TOC）或结论段（L3），丰富论文元数据。
注意：
import-endnote/import-zotero导入时默认自动执行 toc + l3 + abstract backfill。以下命令用于选择性富化（如重新提取、补充特定论文、或处理全库）。引用量补查：使用
/citationsskill 中的scholaraio refetch命令。
执行逻辑
解析用户意图：
- 提取目录：使用
enrich-toc - 提取结论：使用
enrich-l3 - 补全摘要：使用
backfill-abstract（从 .md 提取 + LLM 校验）
- 提取目录：使用
确定处理范围：
- 指定论文 ID → 处理单篇
- 用户说"全部" → 使用
--all - 可选
--force覆盖已有结果
批量模式说明：
--all会按config.llm.concurrency做多篇并发处理- 并发只发生在“论文之间”，单篇内部提取逻辑不拆分并发
- 批量模式会对单篇失败自动做指数退避重试
- 执行命令：
提取目录：
scholaraio enrich-toc [<paper-id> | --all] [--force] [--inspect]提取结论：
scholaraio enrich-l3 [<paper-id> | --all] [--force] [--inspect] [--max-retries N]补全摘要：
scholaraio backfill-abstract [--dry-run] [--doi-fetch]参数说明：
--inspect— 展示提取过程详情（调试用）--max-retries N— L3 单篇提取最大重试次数（默认 2）；--all时也作为每篇论文的批量重试预算--doi-fetch— 从出版商网页抓取官方 abstract（覆盖现有，需联网）
- 展示处理结果。
enrich-toc现在会显示开始提取、是否成功、以及提取出的 TOC 节数- 单篇处理不再只是打印论文名
- 批量处理会显示并发 worker 数，以及最终的成功 / 失败 / 跳过汇总
示例
用户说："帮我提取所有论文的结论"
→ 执行 enrich-l3 --all
用户说："重新提取 Smith-2023-Survey 的目录"
→ 执行 enrich-toc "Smith-2023-Survey" --force
用户说："帮我看看这篇论文 TOC 提取成功没有"
→ 执行 enrich-toc "<paper-id>" --force，并根据终端输出确认 TOC 提取完成: N 节
用户说："补全摘要"
→ 执行 backfill-abstract，然后提示 embed --rebuild
用户说："补查引用量"
→ 转交 /citations skill（使用 refetch 命令）
© 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/enrich of ZimoLiao/scholaraio.
Open the folder on GitHubat commit 777628b
Compare with similar skills
Enrich 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 |
|---|---|---|---|---|---|---|
| Enrich this skillZimoLiao/scholaraio | 577 | — | ~412 | Automated safety check: Pass | MIT | |
| Add Enrichmentsimstudioai/sim | 30k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Table Fitasgeirtj/system_prompts_leaks | 69k | — | ~772 | Automated safety check: Pass | CC0-1.0 | |
| Table Headersthedaviddias/Front-End-Checklist | 74k | — | ~460 | Automated safety check: Pass | MIT | |
| Accessible Tablesthedaviddias/Front-End-Checklist | 74k | — | ~521 | Automated safety check: Pass | MIT | |
| Data Table Managern8n-io/n8n | 207k | — | ~2.3k | Automated safety check: Pass | Custom licence |
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Questions about Enrich
What does Enrich do?
A skill your agent uses when the user wants LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers. Enrich is an agent skill from ZimoLiao/scholaraio. Use when the user wants LLM-based metadata enrichment, table-of-contents extraction, L3 conclusion extraction, or abstract backfilling for library papers.
When should I use Enrich?
Enrich fits situations like: the user wants LLM-based metadata enrichment; table-of-contents extraction; L3 conclusion extraction; abstract backfilling for library papers.
How do I install Enrich in Claude Code?
Run `npx skills add ZimoLiao/scholaraio --skill enrich -a claude-code`. Or copy the skill folder (.claude/skills/enrich in ZimoLiao/scholaraio) into .claude/skills/enrich in your project. Claude Code loads it when a task matches its description.
How do I install Enrich in Codex?
Run `npx skills add ZimoLiao/scholaraio --skill enrich -a codex`. Or copy the skill folder (.claude/skills/enrich in ZimoLiao/scholaraio) into .agents/skills/enrich in your project. Codex loads it when a task matches its description.
Can I use Enrich 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 enrich -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/enrich, .gemini/skills/enrich, .github/skills/enrich and .opencode/skills/enrich in your project.
What does Enrich need to run?
SKILL.md names no scripts, command-line tools or credentials: Enrich is instructions for the agent only.
Does Enrich access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Enrich 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 Enrich use?
Enrich 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 Enrich use?
About 412 tokens (SKILL.md is roughly 1.6k 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 Enrich?
Skills that share tags, products or a category with Enrich: Add Enrichment (simstudioai/sim, 30k stars), Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Table Headers (thedaviddias/Front-End-Checklist, 74k stars) and Accessible Tables (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Enrich?
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.