Create Simple Prompt
pnp/copilot-prompts
This skill should be used when the user asks to "create a new prompt sample", "add a new prompt sample", "scaffold a new prompt sample", "create a prompt contribution", "add a prompt", or needs to…
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70)…
Install Scholar Annotate
$ npx skills add joshzyj/open-scholar-skill --skill scholar-annotate -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-annotate --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/joshzyj/open-scholar-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/scholar-annotate .claude/skills/scholar-annotate && 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 "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .claude/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotateType 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 joshzyj/open-scholar-skill --skill scholar-annotate -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-annotate --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/scholar-annotate .agents/skills/scholar-annotate && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .agents/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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 joshzyj/open-scholar-skill --skill scholar-annotate -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-annotate --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/scholar-annotate .cursor/skills/scholar-annotate && 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 "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .cursor/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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/joshzyj/open-scholar-skill.git --path .claude/skills/scholar-annotate--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 joshzyj/open-scholar-skill --skill scholar-annotate -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-annotate --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/scholar-annotate .gemini/skills/scholar-annotate && 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 "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .gemini/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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 joshzyj/open-scholar-skill scholar-annotateInstalls 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 joshzyj/open-scholar-skill --skill scholar-annotate -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/scholar-annotate .github/skills/scholar-annotate && 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 "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .github/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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 joshzyj/open-scholar-skill --skill scholar-annotate -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install joshzyj/open-scholar-skill scholar-annotate --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/joshzyj/open-scholar-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/scholar-annotate .opencode/skills/scholar-annotate && 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 "scholar-annotate" agent skill from https://github.com/joshzyj/open-scholar-skill/tree/main/.claude/skills/scholar-annotate into .opencode/skills/scholar-annotate/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scholar-annotate", 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
scholar-annotate- GitHub stars
- 168
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,843 words
- Files
- 32 (incl. references, assets)
- Skills in repo
- 30
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70)…
- Framing/stance coding
- SKILL.md covers Arguments and Mode Routing, MODE 0: Setup (all modes), The Execution Engine (assets/) and Modes, plus 3 more sections
- Runs Python and Shell scripts from its folder; calls python3, bash and claude; needs OPENAI_API_KEY and ANTHROPIC_API_KEY
- Relevance filtering
What it does
Scholar Annotate is an agent skill from joshzyj/open-scholar-skill. Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70), scale-out via managed Batch APIs or a local/HPC server, and distillation to a cheap classifier for very large corpora. Use for LLM annotation, classification, framing/stance coding, relevance filtering, structured extraction, and any LLM-as-measurement task over a text corpus. Ships a real execution engine (assets/) —…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 34 other files, including reference files and assets (for example `assets/_lib.sh`, `assets/active_sample.py` and `assets/annotate_engine.py`).
It sits in AI & LLM Engineering, covering Prompt engineering and Document parsing. The repository describes itself as: Open scholar skill, a claude code plugin, for academic research.
When your agent uses it
- Framing/stance coding
- Relevance filtering
- Structured extraction
- Any LLM-as-measurement task over a text corpus
Example prompts
- “/scholar-annotate”
Requirements
- Python 3
- A Bash shell
What it can do on your machine
Read from SKILL.md and the folder at commit 6e5ac8e. 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 script files (Python and Shell, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
python3bashclaude
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 these keys or tokens, usually read from environment variables:
OPENAI_API_KEYANTHROPIC_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Scholar Annotate loads about 4.6k tokens when it runs, and up to ~19k if it reads all its reference files. Until then it costs about 140 tokens; SKILL.md has 1,843 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 1,843 words (~4,566 tokens).
“You are an expert computational social scientist who uses LLMs as measurement instruments: converting a text corpus into validated, reproducible variables (classes, frames, stances, scores, extracted fields). This skill ships a real execution engine (assets/annotate_engine.py + friends) that scales from…”
- name
- scholar-annotate
- tools
- Read, Bash, Write, WebSearch, Agent
- argument-hint
- [plan|profile|codebook|devset|annotate-gold|optimize|validate|scale|distill|report|full] [corpus path or task description]
- user-invocable
- true
Files
SKILL.md and 31 other files (references, assets) in .claude/skills/scholar-annotate of joshzyj/open-scholar-skill.
- SKILL.md
- assets/_lib.sh
- assets/active_sample.py
- assets/annotate_engine.py
- assets/codebook_schema.py
- assets/distill_embed.py
- assets/dspy_optimize.py
- assets/dspy_run.py
- assets/finetune_distill.py
- assets/gold_reconcile.py
- assets/hpc/annotate.sbatch
- assets/hpc/prep-mirror.py
- assets/hpc/rsync-helper.sh
- assets/providers.py
- assets/reduce_corpus.py
- assets/requirements.txt
- assets/run-annotate.sh
- references/codebook-design.md
- … and 14 more
Open the folder on GitHubat commit 6e5ac8e
Compare with similar skills
Scholar Annotate 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 |
|---|---|---|---|---|---|---|
| Scholar Annotate this skilljoshzyj/open-scholar-skill | 168 | — | ~4.6k | Automated safety check: Pass | Custom licence | |
| Create Simple Promptpnp/copilot-prompts | 892 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Offline Prompt Packagerzhaohui-yang/official-document-drafting | 140 | — | ~433 | Automated safety check: Pass | Custom licence | |
| Matlab Recognize Textmatlab/matlab-agentic-toolkit | 1.1k | — | ~5.2k | Automated safety check: Pass | Custom licence | |
| Text Analysis BasicDrchronx/ai-agent-research-starter-kit | 135 | — | ~737 | Automated safety check: Pass | Custom licence | |
| Prompt Improverseverity1/claude-code-prompt-improver | 1.9k | 2 repos | ~1.7k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Scholar Annotate
What does Scholar Annotate do?
Turn unstructured text into validated, structured variables at corpus scale with LLMs: codebook design, dev/gold-set construction, DSPy prompt optimization, a hard reliability gate (Cohen κ ≥ 0.70)…. Scholar Annotate is an agent skill from joshzyj/open-scholar-skill.70), scale-out via managed Batch APIs or a local/HPC server, and distillation to a cheap classifier for very large corpora.
When should I use Scholar Annotate?
Scholar Annotate fits situations like: framing/stance coding; relevance filtering; structured extraction; any LLM-as-measurement task over a text corpus.
How do I install Scholar Annotate in Claude Code?
Run `npx skills add joshzyj/open-scholar-skill --skill scholar-annotate -a claude-code`. Or copy the skill folder (.claude/skills/scholar-annotate in joshzyj/open-scholar-skill) into .claude/skills/scholar-annotate in your project. Claude Code loads it when a task matches its description.
How do I install Scholar Annotate in Codex?
Run `npx skills add joshzyj/open-scholar-skill --skill scholar-annotate -a codex`. Or copy the skill folder (.claude/skills/scholar-annotate in joshzyj/open-scholar-skill) into .agents/skills/scholar-annotate in your project. Codex loads it when a task matches its description.
Can I use Scholar Annotate 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 joshzyj/open-scholar-skill --skill scholar-annotate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scholar-annotate, .gemini/skills/scholar-annotate, .github/skills/scholar-annotate and .opencode/skills/scholar-annotate in your project.
What does Scholar Annotate need to run?
Going by SKILL.md and its folder, Scholar Annotate needs Python and a shell for the scripts in its folder, the command-line tools its instructions call (python3, bash and claude) and credentials named OPENAI_API_KEY and ANTHROPIC_API_KEY. Our summary lists: Python 3; A Bash shell.
Does Scholar Annotate 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 Scholar Annotate 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 Scholar Annotate use?
Scholar Annotate 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 Scholar Annotate use?
About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.
What are the alternatives to Scholar Annotate?
Skills that share tags, products or a category with Scholar Annotate: Create Simple Prompt (pnp/copilot-prompts, 892 stars), Offline Prompt Packager (zhaohui-yang/official-document-drafting, 140 stars), Matlab Recognize Text (matlab/matlab-agentic-toolkit, 1.1k stars) and Text Analysis Basic (Drchronx/ai-agent-research-starter-kit, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Scholar Annotate?
joshzyj (a GitHub user) maintains it in joshzyj/open-scholar-skill, which has 168 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on September 18, 2026.
Source: joshzyj/open-scholar-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.