M365 Agent Evaluator
microsoft/work-iq
A skill your agent uses when a user wants to create, run, or analyze evaluation suites for Microsoft 365 Copilot declarative agents with the public @microsoft/m365-copilot-eval CLI.
Agent skill
Vlm OCR Pipeline
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
VLM-based OCR pipeline: model selection, prompts, architecture, evaluation.
Install Vlm OCR Pipeline
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipeline --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .claude/skills/vlm-ocr-pipeline && 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 "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .claude/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipelineType 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipeline --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .agents/skills/vlm-ocr-pipeline && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .agents/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipeline --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .cursor/skills/vlm-ocr-pipeline && 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 "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .cursor/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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/brycewang-stanford/Auto-Empirical-Research-Skills.git --path skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline--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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipeline --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .gemini/skills/vlm-ocr-pipeline && 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 "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .gemini/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipelineInstalls 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .github/skills/vlm-ocr-pipeline && 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 "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .github/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills vlm-ocr-pipeline --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline .opencode/skills/vlm-ocr-pipeline && 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 "vlm-ocr-pipeline" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline into .opencode/skills/vlm-ocr-pipeline/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vlm-ocr-pipeline", 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
vlm-ocr-pipeline- GitHub stars
- 4.6k
- Token cost
- ~3.7k tokens
- SKILL.md length
- 1,881 words
- Files
- 2
- Skills in repo
- 383
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
VLM-based OCR pipeline: model selection, prompts, architecture, evaluation.
- Works in 7 steps: Model Selection → Image Handling and Preprocessing → Prompt Engineering → …
- Documents & Office work in your project
- SKILL.md covers Instructions and Quality Checks
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Vlm OCR Pipeline is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. VLM-based OCR pipeline: model selection, prompts, architecture, evaluation.
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `reference/prompt-and-schema.md`).
It sits in Documents & Office. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- Documents & Office work in your project
Example prompts
- “/vlm-ocr-pipeline”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Model Selection
- Image Handling and Preprocessing
- Prompt Engineering
- Pipeline Architecture
- Batch Strategy and Resource Planning
- Accuracy Evaluation
- Reproducibility and Documentation
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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.
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
Vlm OCR Pipeline loads about 3.7k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,881 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,881 words (~3,666 tokens).
“For a worked language-specific transcription prompt (pre-reform Cyrillic) and a per-page JSON output schema with uncertain_spans, layout_markers, and flags, see reference/prompt-and-schema.md.”
- name
- vlm-ocr-pipeline
- argument-hint
- [describe your document corpus, languages, and compute environment]
Files
SKILL.md and 1 other file in skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- reference/prompt-and-schema.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Vlm OCR Pipeline 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 |
|---|---|---|---|---|---|---|
| Vlm OCR Pipeline this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| M365 Agent Evaluatormicrosoft/work-iq | 1k | — | ~2k | Automated safety check: Notes | Custom licence | |
| Content Insightzhu1090093659/dsh-trading | 238 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Article Frontmatteradithya-s-k/FineEnvs | 461 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| HistolabK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ag2 Multimodal Inputag2ai/build-with-ag2 | 252 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Content Insight
zhu1090093659/dsh-trading
提取并总结 B 站视频或微信公众号文章；转写、深度报告和知识库入库按用户请求选择。其他网站使用当前可用的网页读取工具. An agent skill from zhu1090093659/dsh-trading.
Article Frontmatter
adithya-s-k/FineEnvs
Configure article metadata via MDX frontmatter. An agent skill from adithya-s-k/FineEnvs.
Histolab
K-Dense-AI/scientific-agent-skills
Extracts and preprocesses whole-slide histology image tiles with Histolab.
Ag2 Multimodal Input
ag2ai/build-with-ag2
Send images, audio, video, or documents into an AG2 beta Agent alongside text.
- Official
Typespec Create Agent
github/awesome-copilot
Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 383 skills in this repoAer Consistency
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when auditing a finished or near-finished AER, AER:Insights, or AEJ manuscript for internal consistency: headline numbers across abstract, introduction, results, and tables…
Latex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Daily Paper Generator
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the user asks to "generate daily paper", "search arXiv for EEG papers", "find EEG decoding papers", "review brain-computer interface papers", or wants to create paper…
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Related
Categories
Questions about Vlm OCR Pipeline
What does Vlm OCR Pipeline do?
VLM-based OCR pipeline: model selection, prompts, architecture, evaluation. Vlm OCR Pipeline is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. VLM-based OCR pipeline: model selection, prompts, architecture, evaluation.
When should I use Vlm OCR Pipeline?
Vlm OCR Pipeline fits situations like: documents & Office work in your project.
How do I install Vlm OCR Pipeline in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a claude-code`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/vlm-ocr-pipeline in your project. Claude Code loads it when a task matches its description.
How do I install Vlm OCR Pipeline in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a codex`. Or copy the skill folder (skills/54-scdenney-open-science-skills/skills/vlm-ocr-pipeline in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/vlm-ocr-pipeline in your project. Codex loads it when a task matches its description.
Can I use Vlm OCR Pipeline 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill vlm-ocr-pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vlm-ocr-pipeline, .gemini/skills/vlm-ocr-pipeline, .github/skills/vlm-ocr-pipeline and .opencode/skills/vlm-ocr-pipeline in your project.
What does Vlm OCR Pipeline need to run?
SKILL.md names no scripts, command-line tools or credentials: Vlm OCR Pipeline is instructions for the agent only.
Does Vlm OCR Pipeline 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 Vlm OCR Pipeline 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 Vlm OCR Pipeline use?
Vlm OCR Pipeline has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Vlm OCR Pipeline use?
About 3.7k tokens (SKILL.md is roughly 15k 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 Vlm OCR Pipeline?
Skills that share tags, products or a category with Vlm OCR Pipeline: M365 Agent Evaluator (microsoft/work-iq, 1k stars), Content Insight (zhu1090093659/dsh-trading, 238 stars), Article Frontmatter (adithya-s-k/FineEnvs, 461 stars) and Histolab (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vlm OCR Pipeline?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.