aejpol-writing-style

aejpol-writing-style is a skill for Claude Code from brycewang-stanford/Awesome-Journal-Skills. It costs 0 tokens per session (1,185 once invoked), scanned A, original, MIT.

A writing guide for American Economic Journal: Economic Policy manuscripts, a research journal about how economic policies affect people and society. It helps turn causal estimates—numbers intended to show cause and effect—into clear, careful policy conclusions.

In plain words
What is it for?
Use it to revise abstracts, introductions, and policy takeaways for the journal's style. It helps present estimates, uncertainty, welfare implications, and practical lessons in a clear order.
Why use it?
It prevents introductions and abstracts from hiding the policy question behind data or methods, and helps avoid claims stronger than the evidence supports.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument.

Part of the aej-economic-policy-skills plugin — 12 skills shipped together

Good fit Use it to revise abstracts, introductions, and policy takeaways for the journal's style. It helps present estimates, uncertainty, welfare implications, and practical lessons in a clear order.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/brycewang-stanford/awesome-journal-skills/aejpol-writing-style
About the project

Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.

brycewang-stanford/Awesome-Journal-Skills · 1,372 stars · on GitHub · copaper.ai

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-writing-style
Clone the repo
git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills

Made for: Claude Code.

Or install aej-economic-policy-skills, the plugin that ships this one along with the rest of its 12 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for aejpol-writing-style

README.md
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agentmods 80×15 button for aejpol-writing-style

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Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,185 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.01185
Opus 5.5 $0.00000 $0.00474
Sonnet 5.5 $0.00000 $0.00237
Haiku 4.5 $0.00000 $0.00119

Measured 1mo ago against content hash eb858455c4cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aejpol-writing-style scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AEJ-Economic-Policy-Skills/skills/aejpol-writing-style/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Style — From Estimate to Policy Takeaway (aejpol-writing-style)

When to trigger

  • The intro buries the policy question under data or method
  • The abstract reports a coefficient but no policy lesson
  • The paper has a clean estimate but no sentence a policymaker could act on — or it overclaims
  • You are polishing for submission and need AEA house tone

Late-stage polish: do not rewrite the intro until identification (aejpol-identification), the welfare bridge (aejpol-theory-model), and robustness (aejpol-robustness) have settled.

The AEJ: Policy introduction arc

Policy question → why credible identification is hard → the design that delivers it → headline causal estimate (with SE/CI) → welfare / cost-benefit / distributional reading → concrete, calibrated policy lesson → brief roadmap.

The distinctive moves vs. a general applied-micro intro:

  1. Open with the policy question, not the dataset or estimator. A non-specialist AEA reader should know within two sentences what policy is at stake and why the answer matters.
  2. Put the headline estimate, with its uncertainty, on page one — in policy-interpretable units (a percentage-point effect, a cost-per-outcome), never an asterisk.
  3. Translate into a policy takeaway — the cost-benefit / MVPF / incidence reading — and state it as the contribution.
  4. Calibrate the claim. Say exactly what the estimand is, for whom, and the conditions under which the lesson holds. The credibility of an AEJ: Policy paper rests as much on not overclaiming as on the estimate.

Translating estimates into policy language without overclaiming

  • Convert coefficients into decision-relevant quantities ("a $1,000 expansion raises take-up by X and costs $Y per additional recipient") rather than leaving them as elasticities.
  • Tie magnitude to a benchmark a policymaker recognizes (the program's budget, the status-quo level, a comparable policy).
  • Hedge precisely, not vaguely: state the population the estimate applies to, the time horizon, and the assumptions the welfare reading needs. Replace "this shows policy X is good" with "for this population and horizon, the marginal dollar of X returns $Z, assuming [stated condition]."
  • Separate what the data show (the causal estimate) from what the framework adds (the welfare reading) so a referee can grant one without the other.

Read the full file on GitHub · 71 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 71 lines · 0 tokens per session scan A eb858455c4cc

Subscribe to this mod's changes

aejpol-writing-style is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,372 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,185 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-15.

Related

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aejpol-writing-style next to 6 skills from other repositories
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