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.
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.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-literature-positioninggit clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-SkillsWrote 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.
[](https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejpol-literature-positioning)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejpol-literature-positioning"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-literature-positioning/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aejpol-literature-positioning"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aejpol-literature-positioning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00059 | $0.01271 |
| Opus 5 | $0.00030 | $0.00635 |
| Sonnet 5 | $0.00012 | $0.00254 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
aejpol-literature-positioning 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Positioning & Contribution Framing (aejpol-literature-positioning)
When to trigger
- The contribution vs. existing policy evaluations is fuzzy, or sounds like "we add another estimate"
- A referee asks "what do we learn beyond [prior study of this or a similar policy]?"
- The literature review is a list of citations rather than a map of the open policy question
- You need to frame the contribution so the policy lesson, not the method, is the news
How AEJ: Policy contributions are staked
At AEJ: Policy the contribution is a better answer to a policy question, not a new estimate for its own sake. Position the paper on three axes and make the policy reading the headline:
- The policy-design gap. What does a policymaker still not know — the sign, the magnitude, the cost-effectiveness, the incidence, the optimal level, or the external validity of an existing estimate? State the gap as something a decision-maker would care about.
- The credibility upgrade. If prior evidence exists, say why yours is more credible (cleaner design, better data, a policy variation that breaks a confound, a setting that fixes external-validity worries) — but only as a means to a sharper policy answer.
- The welfare/cost-benefit advance. The distinctive AEJ: Policy move: convert estimates into a welfare or cost-benefit statement (MVPF, cost-per-outcome, incidence, deadweight loss) that prior work left implicit. This is often the real contribution.
Positioning patterns that land
- "Prior work estimates the effect; we show whether it is worth it" (adds the cost-benefit reading).
- "Estimates exist for setting A; we show they do/do not travel to the policy-relevant setting B" (external validity for policy).
- "The textbook prescription assumes X; we show the policy-relevant elasticity implies a different optimum" (re-optimizing the policy).
- "Reduced-form effects were known; we recover the sufficient statistic the welfare calculation needs" (links to
aejpol-theory-model).
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.
- 7d ago First seen · 72 lines · 0 tokens per session scan A 5f14758763e8
aejpol-literature-positioning is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,142 stars, last pushed 7d ago), licensed MIT. It adds 59 tokens to every session and 1,271 once invoked, about $0.0003 per session on Opus 5. 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.
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