Research Writing
alfonso0512/research-writing-skill
科研论文写作助手，提供 30 个 Prompt 模板覆盖论文写作全流程. An agent skill from alfonso0512/research-writing-skill.
Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API.
Install Glmocr Formula
$ npx skills add zai-org/GLM-skills --skill glmocr-formula -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zai-org/GLM-skills glmocr-formula --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/zai-org/GLM-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/glmocr-formula .claude/skills/glmocr-formula && 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 "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .claude/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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/zai-org/GLM-skills/tree/main/skills/glmocr-formulaType 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 zai-org/GLM-skills --skill glmocr-formula -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zai-org/GLM-skills glmocr-formula --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/glmocr-formula .agents/skills/glmocr-formula && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .agents/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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 zai-org/GLM-skills --skill glmocr-formula -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zai-org/GLM-skills glmocr-formula --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/glmocr-formula .cursor/skills/glmocr-formula && 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 "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .cursor/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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/zai-org/GLM-skills.git --path skills/glmocr-formula--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 zai-org/GLM-skills --skill glmocr-formula -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zai-org/GLM-skills glmocr-formula --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/glmocr-formula .gemini/skills/glmocr-formula && 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 "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .gemini/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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 zai-org/GLM-skills glmocr-formulaInstalls 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 zai-org/GLM-skills --skill glmocr-formula -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/glmocr-formula .github/skills/glmocr-formula && 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 "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .github/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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 zai-org/GLM-skills --skill glmocr-formula -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zai-org/GLM-skills glmocr-formula --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zai-org/GLM-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/glmocr-formula .opencode/skills/glmocr-formula && 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 "glmocr-formula" agent skill from https://github.com/zai-org/GLM-skills/tree/main/skills/glmocr-formula into .opencode/skills/glmocr-formula/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "glmocr-formula", 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
glmocr-formula- GitHub stars
- 476
- Token cost
- ~2.2k tokens
- SKILL.md length
- 681 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 16
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API.
- Works in 3 steps: Global config (recommended) / 全局配置（推荐）：… → Skill-level config / Skill 级别配置： Set for… → Shell environment variable / Shell 环境变量：…
- The user wants to extract formulas
- SKILL.md covers When to Use / 使用场景, Key Features / 核心特性, Resource Links / 资源链接 and Prerequisites / 前置条件, plus 5 more sections
- Runs Python scripts from its folder; calls python; reaches bigmodel.cn and open.bigmodel.cn; needs ZHIPU_API_KEY
What it does
Glmocr Formula is an agent skill from zai-org/GLM-skills. Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API. Supports complex equations, inline formulas, and formula blocks. Use this skill when the user wants to extract formulas, convert formula images to LaTeX, or OCR mathematical expressions.
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/glm_ocr_cli.py`).
It sits in Documents & Office, covering LaTeX. It works with Zhipu GLM and LaTeX. The repository describes itself as: Official skills for the GLM family of models. The licence is Apache-2.0.
When your agent uses it
- The user wants to extract formulas
- Convert formula images to LaTeX
- OCR mathematical expressions
Example prompts
- “/glmocr-formula”
Requirements
- Python 3
- A credential in ZHIPU_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Global config (recommended) / 全局配置（推荐）： Set once in openclaw.json under env.vars, all Zhipu skills will share it
- Skill-level config / Skill 级别配置： Set for this skill only in openclaw.json
- Shell environment variable / Shell 环境变量： Add to ~/.zshrc
What it can do on your machine
Read from SKILL.md and the folder at commit 2ecd31c. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
bigmodel.cnopen.bigmodel.cn
Also links to:
docs.bigmodel.cn
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
ZHIPU_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Glmocr Formula loads about 2.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 681 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); the scripts in this folder are not scanned.
SKILL.md
The full file from zai-org/GLM-skills at commit 2ecd31c, republished under its Apache-2.0 licence (© zai-org). 681 words, ~2,190 tokens.
Download SKILL.mdSave it as
.claude/skills/glmocr-formula/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- glmocr-formula
- description
- Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API. Supports complex equations, inline formulas, and formula blocks. Use this skill when the user wants to extract formulas, convert formula images to LaTeX, or OCR mathematical expressions.
GLM-OCR Formula Recognition Skill / GLM-OCR 公式识别技能
Recognize mathematical formulas from images and PDFs and convert them to LaTeX format using the ZhiPu GLM-OCR layout parsing API.
When to Use / 使用场景
- Extract mathematical formulas from images or scanned documents / 从图片或扫描件中提取数学公式
- Convert formula images to LaTeX / 将公式图片转为 LaTeX 格式
- Recognize complex equations, integrals, matrices / 识别复杂方程、积分、矩阵
- Parse scientific papers, textbooks, exam papers with formulas / 解析含公式的论文、教材、试卷
- User mentions "formula OCR", "extract formula", "公式识别", "公式OCR", "提取公式", "图片转LaTeX"
Key Features / 核心特性
- Complex formula support: Handles integrals, summations, matrices, fractions, radicals
- LaTeX output: Formulas are output in LaTeX format, ready for use in documents
- Inline & block formulas: Recognizes both inline and display-style formulas
- Mixed content: Can handle documents with both text and formulas
- Local file & URL: Supports both local files and remote URLs
Resource Links / 资源链接
| Resource | Link |
|---|---|
| Get API Key | 智谱开放平台 API Keys |
| API Docs | Layout Parsing / 版面解析 |
Prerequisites / 前置条件
API Key Setup / API Key 配置（Required / 必需）
脚本通过 ZHIPU_API_KEY 环境变量获取密钥，可与其他智谱技能复用同一个 key。
This script reads the key from the ZHIPU_API_KEY environment variable. Reusing the same key across Zhipu skills is optional.
Get Key / 获取 Key： Visit 智谱开放平台 API Keys to create or copy your key.
Setup options / 配置方式（任选一种）：
Global config (recommended) / 全局配置（推荐）： Set once in
openclaw.jsonunderenv.vars, all Zhipu skills will share it:json { "env": { "vars": { "ZHIPU_API_KEY": "你的密钥" } } }Skill-level config / Skill 级别配置： Set for this skill only in
openclaw.json:json { "skills": { "entries": { "glmocr-formula": { "env": { "ZHIPU_API_KEY": "你的密钥" } } } } }Shell environment variable / Shell 环境变量： Add to
~/.zshrc:bash export ZHIPU_API_KEY="你的密钥"
💡 如果你已为其他智谱 skill（如
glmocr、glmv-caption、glm-image-generation）配置过 key，它们共享同一个ZHIPU_API_KEY，无需重复配置。
Security & Transparency / 安全与透明度
- Environment variables used / 使用的环境变量：
ZHIPU_API_KEY(required / 必需)GLM_OCR_TIMEOUT(optional timeout seconds / 可选超时秒数)
- Fixed endpoint / 固定官方端点：
https://open.bigmodel.cn/api/paas/v4/layout_parsing - No custom API URL override / 不支持自定义 API URL 覆盖： avoids accidental key exfiltration via redirected endpoints.
- Raw upstream response is optional / 原始响应默认不返回： use
--include-rawonly when needed for debugging.
⛔ MANDATORY RESTRICTIONS / 强制限制 ⛔
- ONLY use GLM-OCR API — Execute the script
python scripts/glm_ocr_cli.py - NEVER parse formulas yourself — Do NOT try to extract formulas using built-in vision or any other method
- NEVER offer alternatives — Do NOT suggest "I can try to read it" or similar
- IF API fails — Display the error message and STOP immediately
- NO fallback methods — Do NOT attempt formula extraction any other way
Show full SKILL.md (330 more words)Show less
📋 Output Display Rules / 输出展示规则
After running the script, present the OCR result clearly and safely.
- Show extracted text/formulas (
text) in full - Summarization is allowed, but do not hide important extraction failures
- If
layout_detailscontains formula-related entries, you may highlight them - If the result file is saved, tell the user the file path
- Show raw upstream response only when explicitly requested or debugging (
--include-raw)
⚠️ LaTeX Rendering / LaTeX 渲染注意：
OCR API returns formulas in LaTeX format (e.g., $\frac{1}{2}$, $\theta^{x+1}$). Since most chat platforms do not render LaTeX, you should ask the user once (on first use):
"OCR 结果包含 LaTeX 公式，需要我将公式转为 Unicode 可读格式展示，还是保留原始 LaTeX？"
Remember the user's choice for the rest of the session. Do NOT ask again on subsequent calls unless the user explicitly changes their preference.
- User chooses readable format → convert LaTeX to Unicode/plain-text:
| LaTeX | Unicode / 纯文本 |
|---|---|
$\frac{a}{b}$ | a/b |
$x^{n}$ | x^n |
$x_{i}$ | xᵢ |
$\sqrt{x}$ | √x |
$\theta$ | θ |
$\phi$ | φ |
$\therefore$ | ∴ |
$\Rightarrow$ | ⇒ |
$\left\{ \begin{array}{l} ... \end{array} \right.$ | ⎧ line1 ⎨ line2 ⎩ |
$\textcircled{1}$ | ① |
$\in$ | ∈ |
$\infty$ | ∞ |
$\ln$ | ln |
$\leq$ / $\geq$ | ≤ / ≥ |
- User chooses raw LaTeX → display the original LaTeX output directly, and remind them the raw data is also saved in the output file if
--outputwas used.
How to Use / 使用方法
Extract from URL / 从 URL 提取
python scripts/glm_ocr_cli.py --file-url "https://example.com/formula.png"Extract from Local File / 从本地文件提取
python scripts/glm_ocr_cli.py --file /path/to/equation.pngSave Result to File / 保存结果到文件
python scripts/glm_ocr_cli.py --file formula.png --output result.json --prettyInclude Raw Upstream Response (Debug Only) / 包含原始上游响应（仅调试）
python scripts/glm_ocr_cli.py --file formula.png --output result.json --include-rawCLI Reference / CLI 参数
python {baseDir}/scripts/glm_ocr_cli.py (--file-url URL | --file PATH) [--output FILE] [--pretty] [--include-raw]| Parameter | Required | Description |
|---|---|---|
--file-url | One of | URL to image/PDF |
--file | One of | Local file path to image/PDF |
--output, -o | No | Save result JSON to file |
--pretty | No | Pretty-print JSON output |
--include-raw | No | Include raw upstream API response in result field (debug only) |
Response Format / 响应格式
{
"ok": true,
"text": "Extracted formulas and text in Markdown/LaTeX...",
"layout_details": [...],
"result": null,
"error": null,
"source": "/path/to/file",
"source_type": "file",
"raw_result_included": false
}Key fields:
ok— whether extraction succeededtext— extracted text in Markdown with LaTeX formulaslayout_details— layout analysis detailserror— error details on failure
Error Handling / 错误处理
API key not configured:
ZHIPU_API_KEY not configured. Get your API key at: https://bigmodel.cn/usercenter/proj-mgmt/apikeys→ Show exact error to user, guide them to configure
Authentication failed (401/403): API key invalid/expired → reconfigure
Rate limit (429): Quota exhausted → inform user to wait
File not found: Local file missing → check path
© zai-org, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/glmocr-formula of zai-org/GLM-skills.
- SKILL.md
- scripts/glm_ocr_cli.py
Open the folder on GitHubat commit 2ecd31c
Compare with similar skills
Glmocr Formula 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 |
|---|---|---|---|---|---|---|
| Glmocr Formula this skillzai-org/GLM-skills | 476 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Research Writingalfonso0512/research-writing-skill | 487 | 1 repos | ~818 | Automated safety check: Pass | MIT | |
| Paper WritingMLNLP-World/Paper-Writing-Tips | 4.7k | — | ~630 | Automated safety check: Pass | None | |
| Evomath TaoEvoScientist/EvoSkills | 475 | 2 repos | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| PaperjurySpark-To-Paper-Skills/paperjury | 1.2k | — | ~5.3k | Automated safety check: Pass | MIT | |
| Thesis Defense PPTX Builderzouchenzhen/thesis-defense-pptx-skill | 266 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Glmocr Formula
What does Glmocr Formula do?
Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API. Glmocr Formula is an agent skill from zai-org/GLM-skills. Official skill for recognizing and extracting mathematical formulas from images and PDFs into LaTeX format using ZhiPu GLM-OCR API.
When should I use Glmocr Formula?
Glmocr Formula fits situations like: the user wants to extract formulas; convert formula images to LaTeX; OCR mathematical expressions.
How do I install Glmocr Formula in Claude Code?
Run `npx skills add zai-org/GLM-skills --skill glmocr-formula -a claude-code`. Or copy the skill folder (skills/glmocr-formula in zai-org/GLM-skills) into .claude/skills/glmocr-formula in your project. Claude Code loads it when a task matches its description.
How do I install Glmocr Formula in Codex?
Run `npx skills add zai-org/GLM-skills --skill glmocr-formula -a codex`. Or copy the skill folder (skills/glmocr-formula in zai-org/GLM-skills) into .agents/skills/glmocr-formula in your project. Codex loads it when a task matches its description.
Can I use Glmocr Formula 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 zai-org/GLM-skills --skill glmocr-formula -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/glmocr-formula, .gemini/skills/glmocr-formula, .github/skills/glmocr-formula and .opencode/skills/glmocr-formula in your project.
What does Glmocr Formula need to run?
Going by SKILL.md and its folder, Glmocr Formula needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named ZHIPU_API_KEY. Our summary lists: Python 3; A credential in ZHIPU_API_KEY.
Does Glmocr Formula access the network?
SKILL.md names 3 domains. In commands or code: bigmodel.cn and open.bigmodel.cn; the agent is likely to contact these when it follows the instructions. As links in the text: docs.bigmodel.cn. This is read from the text; nothing was executed.
Is Glmocr Formula 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Glmocr Formula use?
Glmocr Formula is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Glmocr Formula use?
About 2.2k tokens (SKILL.md is roughly 8.8k 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 Glmocr Formula?
Skills that share tags, products or a category with Glmocr Formula: Research Writing (alfonso0512/research-writing-skill, 487 stars), Paper Writing (MLNLP-World/Paper-Writing-Tips, 4.7k stars), Evomath Tao (EvoScientist/EvoSkills, 475 stars) and Paperjury (Spark-To-Paper-Skills/paperjury, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Glmocr Formula?
zai-org (a GitHub organization) maintains it in zai-org/GLM-skills, which has 476 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on April 15, 2026.
Source: zai-org/GLM-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.