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 aeja-identificationgit 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/aeja-identification)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/aeja-identification"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-identification/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/aeja-identification"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/aeja-identification.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 | $0.00000 | $0.01625 |
| Opus 5.5 | $0.00000 | $0.00650 |
| Sonnet 5.5 | $0.00000 | $0.00325 |
| Haiku 4.5 | $0.00000 | $0.00162 |
Grade A, and why
aeja-identification 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.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identification Strategy (aeja-identification)
When to trigger
- A causal claim rests on OLS + controls, or TWFE on staggered timing
- An RCT's estimand, balance, or attrition handling is not pinned down
- An RD's density, bandwidth, or covariate-smoothness defense is missing
- An IV's first stage is weak or the exclusion restriction is asserted, not argued
- You are unsure the design clears AEJ: Applied's credibility bar
The AEJ: Applied identification bar
AEJ: Applied is identification-driven applied micro: the mapping from a source of variation to the causal estimand must be explicit, defended, and falsifiable. Editors and referees here are unusually sophisticated about modern design pitfalls — staggered-DID bias, weak IV, RD manipulation, shift-share exogeneity. State the estimand, name the identifying assumption, show the diagnostic that could have failed but didn't, and keep the claim inside what the design supports. Inference must match the design (clustering at the assignment level; few-cluster corrections).
Design paths
Path A: RCT / field experiment (own data)
- Estimand stated (ITT vs. LATE/TOT); randomization unit and stratification described.
- Pre-registration (AEA RCT Registry / AsPredicted / OSF); report deviations from the pre-analysis plan.
- Balance table on baseline covariates; attrition examined and bounded (Lee bounds if differential).
- Multiple-hypothesis adjustment across outcomes/subgroups; explicit external-validity discussion.
Path B: Difference-in-differences / event study
- With staggered adoption, move beyond TWFE — Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille, or Borusyak–Jaravel–Spiess imputation.
- Clean event-study with leads for pre-trends; report a Goodman-Bacon decomposition to show which 2×2s drive the estimate.
- State and defend parallel trends; consider Rambachan–Roth honest-DID sensitivity to parallel-trend violations.
Path C: Regression discontinuity
- Density test (McCrary / Cattaneo–Jansson–Ma) for manipulation; covariate smoothness at the cutoff.
- Local-linear with data-driven bandwidth; bias-corrected, robust CIs (rdrobust); donut and bandwidth-sensitivity checks.
- State whether the estimand is the local effect at the cutoff and resist extrapolation.
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.
- 1mo ago First seen · 94 lines · 0 tokens per session scan A 50190cb65ca0
aeja-identification is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,259 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,625 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.
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