Esign Field Placement
affaan-m/ECC
Deterministic method for placing signature, date, and text fields in a web e-signature composer through a browser automation session, using a fixed signature page, numeric Location panel coordinates…
Agent skill
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power…
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-preregistration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-preregistration --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/50-brycewang-aer-skills/skills/aer-preregistration .claude/skills/aer-preregistration && 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 "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .claude/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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/50-brycewang-aer-skills/skills/aer-preregistrationType 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 aer-preregistration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-preregistration --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/50-brycewang-aer-skills/skills/aer-preregistration .agents/skills/aer-preregistration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .agents/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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 aer-preregistration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-preregistration --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/50-brycewang-aer-skills/skills/aer-preregistration .cursor/skills/aer-preregistration && 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 "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .cursor/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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/50-brycewang-aer-skills/skills/aer-preregistration--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 aer-preregistration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills aer-preregistration --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/50-brycewang-aer-skills/skills/aer-preregistration .gemini/skills/aer-preregistration && 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 "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .gemini/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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 aer-preregistrationInstalls 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 aer-preregistration -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/50-brycewang-aer-skills/skills/aer-preregistration .github/skills/aer-preregistration && 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 "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .github/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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 aer-preregistration -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 aer-preregistration --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/50-brycewang-aer-skills/skills/aer-preregistration .opencode/skills/aer-preregistration && 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 "aer-preregistration" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/50-brycewang-aer-skills/skills/aer-preregistration into .opencode/skills/aer-preregistration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aer-preregistration", 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.
aer-preregistrationA skill your agent uses when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power…
Aer Preregistration is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/pap-template.md`).
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…
7 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
goFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Aer Preregistration loads about 1.9k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 855 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 855 words (~1,882 tokens).
“For experimental and prospective-data AER-track work, credibility is bought before the data exist. This skill writes the pre-analysis plan (PAP), sizes the sample from a power calculation, and registers the study. Its job is to make the eventual results un-p-hackable…”
SKILL.md and 2 other files (references) in skills/50-brycewang-aer-skills/skills/aer-preregistration of brycewang-stanford/Auto-Empirical-Research-Skills.
Open the folder on GitHubat commit 9fa87d8
Aer Preregistration 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 |
|---|---|---|---|---|---|---|
| Aer Preregistration this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Esign Field Placementaffaan-m/ECC | 276k | — | ~2.6k | Automated safety check: Pass | MIT | |
| Fieldsparcadei/Continuous-Claude-v3 | 3.9k | 1 repos | ~693 | Automated safety check: Notes | MIT | |
| Agent Collective Intelligence Coordinatorruvnet/ruflo | 74k | 2 repos | ~1k | Automated safety check: Pass | MIT | |
| Collection Digestoutline/outline | 41k | — | ~498 | Automated safety check: Pass | Custom licence | |
| Password Field Securitythedaviddias/Front-End-Checklist | 74k | — | ~458 | Automated safety check: Pass | MIT |
affaan-m/ECC
Deterministic method for placing signature, date, and text fields in a web e-signature composer through a browser automation session, using a fixed signature page, numeric Location panel coordinates…
parcadei/Continuous-Claude-v3
Problem-solving strategies for fields in abstract algebra. An agent skill from parcadei/Continuous-Claude-v3.
ruvnet/ruflo
Agent skill for collective-intelligence-coordinator - invoke with $agent-collective-intelligence-coordinator
outline/outline
Summarize what changed in an Outline collection since a date; use when the user asks what is new, what was updated, or wants a digest of recent documents.
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing headers, forms, cookies, or third-party integrations related to Secure password input fields.
nexu-io/open-design
Editorial "Field Notes" report template with soft paper background, serif hero typography, rounded pastel insight cards, and a retention chart panel.
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…
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
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…
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.
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…
A skill your agent uses when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power…. Aer Preregistration is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry.
Aer Preregistration fits situations like: the project collects primary data; survey experiment; before the intervention begins — write the pre-analysis plan; size the sample from a power calculation.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-preregistration -a claude-code`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-preregistration in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/aer-preregistration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill aer-preregistration -a codex`. Or copy the skill folder (skills/50-brycewang-aer-skills/skills/aer-preregistration in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/aer-preregistration in your project. Codex loads it when a task matches its description.
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 aer-preregistration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aer-preregistration, .gemini/skills/aer-preregistration, .github/skills/aer-preregistration and .opencode/skills/aer-preregistration in your project.
Going by SKILL.md and its folder, Aer Preregistration needs the command-line tools its instructions call (go).
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.
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.
Aer Preregistration has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 1.9k tokens (SKILL.md is roughly 7.5k 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 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Aer Preregistration: Esign Field Placement (affaan-m/ECC, 276k stars), Fields (parcadei/Continuous-Claude-v3, 3.9k stars), Agent Collective Intelligence Coordinator (ruvnet/ruflo, 74k stars) and Collection Digest (outline/outline, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.