Sandbox Bench
vercel/next.js
Benchmark React or Next.js changes on Vercel Sandbox VMs with paired A/B statistics: react PR/commit vs base, or Next.js PR/commit vs base, measured end-to-end through the bench/render-pipeline app…
A skill your agent uses when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient…
Install Aejpol Theory Model
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-theory-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-theory-model --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/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .claude/skills/aejpol-theory-model && 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 "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .claude/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-modelType 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/Awesome-Journal-Skills --skill aejpol-theory-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-theory-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .agents/skills/aejpol-theory-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .agents/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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/Awesome-Journal-Skills --skill aejpol-theory-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-theory-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .cursor/skills/aejpol-theory-model && 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 "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .cursor/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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/Awesome-Journal-Skills.git --path AEJ-Economic-Policy-Skills/skills/aejpol-theory-model--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/Awesome-Journal-Skills --skill aejpol-theory-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-theory-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .gemini/skills/aejpol-theory-model && 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 "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .gemini/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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/Awesome-Journal-Skills aejpol-theory-modelInstalls 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/Awesome-Journal-Skills --skill aejpol-theory-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .github/skills/aejpol-theory-model && 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 "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .github/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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/Awesome-Journal-Skills --skill aejpol-theory-model -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/Awesome-Journal-Skills aejpol-theory-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model .opencode/skills/aejpol-theory-model && 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 "aejpol-theory-model" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-theory-model into .opencode/skills/aejpol-theory-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-theory-model", 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
aejpol-theory-model- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 591 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient…
- An AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare
- SKILL.md covers When to trigger, The AEJ: Policy role of theory, Checklist and Anti-patterns, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Distributional policy object — sufficient statistics
What it does
Aejpol Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient statistics, MVPF, optimal-policy, or a small applied model. Builds the estimate-to-welfare bridge and states its assumptions; it does not run the empirical estimation or write the prose.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Statistics. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- An AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare
- Distributional policy object — sufficient statistics
- A small applied model
Example prompts
- “/aejpol-theory-model”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. 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
Aejpol Theory Model loads about 1.3k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 591 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 brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 591 words, ~1,286 tokens.
Download SKILL.mdSave it as
.claude/skills/aejpol-theory-model/SKILL.md (or your agent's skills folder).- name
- aejpol-theory-model
- description
- Use when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient statistics, MVPF, optimal-policy, or a small applied model. Builds the estimate-to-welfare bridge and states its assumptions; it does not run the empirical estimation or write the prose.
Theory / Welfare Model — Estimate-to-Policy Bridge (aejpol-theory-model)
When to trigger
- You have a credible causal estimate but no framework to say what it means for welfare or policy
- A referee says the welfare claim is "hand-waved" or the "so what" is missing
- You need to convert an elasticity / treatment effect into a cost-benefit or optimal-policy statement
- A reviewer asks "what is the sufficient statistic, and does your estimate identify it?"
The AEJ: Policy role of theory
At AEJ: Policy theory is usually in service of the policy reading, not the headline. Most papers do not need a full structural model; they need a transparent framework that turns a reduced-form estimate into a welfare, cost-benefit, or distributional object a policymaker can use. Pick the lightest framework that delivers the policy statement and make its assumptions explicit.
Bridge paths (lightest first)
Path A: Sufficient statistics / MVPF
- Write the welfare expression and show which estimated objects are the sufficient statistics (e.g., an elasticity, a fiscal externality, a pass-through). State that your design identifies exactly those.
- For spending/tax policies, a Marginal Value of Public Funds (benefit to recipients per dollar of net government cost) is the canonical AEJ: Policy summary — define the numerator and denominator and which estimates feed each.
- State the assumptions the sufficient-statistic formula buys you (envelope conditions, no income effects, partial-equilibrium scope) and where they could fail.
Path B: Cost-benefit / fiscal accounting
- Build the explicit ledger: program cost, behavioral-response fiscal effects, benefits to recipients, externalities. Show the net cost per unit of outcome (cost per job, per ton abated, per QALY-equivalent, per child lifted) with uncertainty propagated from the estimate's SE.
- Distinguish mechanical from behavioral effects; the behavioral term is what your causal estimate supplies.
Path C: Optimal-policy / re-optimization
- Use the estimated elasticity in a standard optimal-tax / optimal-transfer formula to back out the policy-relevant optimum, then compare to the status quo. Frame as "the policy-relevant elasticity implies the current level is too high/low."
Path D: Small calibrated / structural model
- Only when reduced-form + sufficient statistics cannot deliver the counterfactual (general-equilibrium feedback, extrapolation beyond observed variation). Tie parameters to data, validate against untargeted moments, and argue policy-invariance for the counterfactual (Lucas critique).
Show full SKILL.md (233 more words)Show less
Distributional reading
Whatever the path, ask who gains and who pays. An incidence split across income, region, or demographic groups is often the AEJ: Policy contribution and is cheap to add once the estimate exists.
Checklist
- The welfare/policy object is named (MVPF, net cost-per-outcome, optimum, incidence)
- The sufficient statistic(s) are identified by the empirical design, not assumed
- The framework's assumptions are stated and their failure modes flagged
- Uncertainty from the estimate is propagated into the welfare number
- A distributional / incidence reading is provided where the policy has clear winners and losers
- The model is no heavier than the policy statement requires
Anti-patterns
- A welfare claim with no formula linking it to the estimate ("this is welfare-improving" asserted)
- Importing a sufficient-statistic formula whose assumptions your setting violates
- A full structural model where a one-line MVPF would have sufficed (overengineering)
- Reporting a point welfare number with no uncertainty band
- Ignoring incidence when the policy obviously redistributes
Worked vignette (illustrative)
A clean RDD shows a benefit-eligibility threshold raises take-up and reduces hardship. Alone it is "the program helps." Bridged: the take-up and hardship estimates are the sufficient statistics for an MVPF — recipients value the transfer at, say, $1.20 per $1 of net government cost after behavioral offsets (illustrative) — and the incidence falls mostly on the lowest-income tercile. Now the paper states whether the program is a good use of public funds and for whom.
Output format
【Policy object】MVPF / net cost-per-outcome / optimum / incidence
【Framework】sufficient statistics / cost-benefit ledger / optimal-policy / small model
【Sufficient statistic(s)】which estimates feed the welfare expression
【Key assumptions + failure modes】[...]
【Uncertainty】how the estimate's SE propagates to the welfare number
【Distributional reading】who gains / who pays
【Next step】aejpol-robustness then aejpol-writing-style© brycewang-stanford, 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 AEJ-Economic-Policy-Skills/skills/aejpol-theory-model of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aejpol Theory Model 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 |
|---|---|---|---|---|---|---|
| Aejpol Theory Model this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Sandbox Benchvercel/next.js | 143k | — | ~4.1k | Automated safety check: Pass | MIT | |
| Statistical Analysisspacering-net/codeg | 3.9k | 3 repos | ~5k | Automated safety check: Pass | MIT | |
| StatsmodelszLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | |
| AI Daily DigestvigorX777/ai-daily-digest | 1.6k | — | ~1.3k | Automated safety check: Pass | None | |
| Statistical Powerspacering-net/codeg | 3.9k | 1 repos | ~3.6k | Automated safety check: Notes | MIT |
Similar skills
- Official
Statistical Analysis
spacering-net/codeg
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting.
Statsmodels
zLanqing/codex-claude-academic-skills
Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills.
AI Daily Digest
vigorX777/ai-daily-digest
Fetches RSS feeds from 90 top Hacker News blogs (curated by Karpathy), uses AI to score and filter articles, and generates a daily digest in Markdown with Chinese-translated titles, category…
Statistical Power
spacering-net/codeg
Sample-size and statistical power calculations for planning studies.
Agent Session Monitor
higress-group/higress
Real-time agent conversation monitoring - monitors Higress access logs, aggregates conversations by session, tracks token usage.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag Data Analysis
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
Aaag Literature Positioning
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
Aaag Rebuttal
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
Aaag Research Design
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
Aaag Review Process
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
Aaag Submission
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Related
Categories
Questions about Aejpol Theory Model
What does Aejpol Theory Model do?
A skill your agent uses when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient…. Aejpol Theory Model is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient statistics, MVPF, optimal-policy, or a small applied model.
When should I use Aejpol Theory Model?
Aejpol Theory Model fits situations like: an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare; distributional policy object — sufficient statistics; A small applied model.
How do I install Aejpol Theory Model in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-theory-model -a claude-code`. Or copy the skill folder (AEJ-Economic-Policy-Skills/skills/aejpol-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejpol-theory-model in your project. Claude Code loads it when a task matches its description.
How do I install Aejpol Theory Model in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-theory-model -a codex`. Or copy the skill folder (AEJ-Economic-Policy-Skills/skills/aejpol-theory-model in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejpol-theory-model in your project. Codex loads it when a task matches its description.
Can I use Aejpol Theory Model 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/Awesome-Journal-Skills --skill aejpol-theory-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejpol-theory-model, .gemini/skills/aejpol-theory-model, .github/skills/aejpol-theory-model and .opencode/skills/aejpol-theory-model in your project.
What does Aejpol Theory Model need to run?
SKILL.md names no scripts, command-line tools or credentials: Aejpol Theory Model is instructions for the agent only.
Does Aejpol Theory Model 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 Aejpol Theory Model 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 Aejpol Theory Model use?
Aejpol Theory Model 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 Aejpol Theory Model use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 Aejpol Theory Model?
Skills that share tags, products or a category with Aejpol Theory Model: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aejpol Theory Model?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.