Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning…
Install Aejmac Robustness
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-robustness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-robustness --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-Macroeconomics-Skills/skills/aejmac-robustness .claude/skills/aejmac-robustness && 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 "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .claude/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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-Macroeconomics-Skills/skills/aejmac-robustnessType 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 aejmac-robustness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-robustness --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-Macroeconomics-Skills/skills/aejmac-robustness .agents/skills/aejmac-robustness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .agents/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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 aejmac-robustness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-robustness --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-Macroeconomics-Skills/skills/aejmac-robustness .cursor/skills/aejmac-robustness && 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 "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .cursor/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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-Macroeconomics-Skills/skills/aejmac-robustness--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 aejmac-robustness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-robustness --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-Macroeconomics-Skills/skills/aejmac-robustness .gemini/skills/aejmac-robustness && 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 "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .gemini/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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 aejmac-robustnessInstalls 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 aejmac-robustness -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-Macroeconomics-Skills/skills/aejmac-robustness .github/skills/aejmac-robustness && 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 "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .github/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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 aejmac-robustness -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 aejmac-robustness --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-Macroeconomics-Skills/skills/aejmac-robustness .opencode/skills/aejmac-robustness && 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 "aejmac-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Macroeconomics-Skills/skills/aejmac-robustness into .opencode/skills/aejmac-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmac-robustness", 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
aejmac-robustness- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 723 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning…
- The headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification
- SKILL.md covers When to trigger, The AEJ: Macro robustness bar, A macro robustness program… and Reporting discipline, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Aejmac Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning choices. Builds the robustness program a macro referee will demand; it does not establish the primary identification or model (use aejmac-identification / aejmac-theory-model first).
Its SKILL.md is about 1.6k 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 Research & Science. 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
- The headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification
Example prompts
- “/aejmac-robustness”
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
Aejmac Robustness loads about 1.6k tokens when it runs. Until then it costs about 95 tokens; SKILL.md has 723 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). 723 words, ~1,613 tokens.
Download SKILL.mdSave it as
.claude/skills/aejmac-robustness/SKILL.md (or your agent's skills folder).- name
- aejmac-robustness
- description
- Use when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning choices. Builds the robustness program a macro referee will demand; it does not establish the primary identification or model (use aejmac-identification / aejmac-theory-model first).
Robustness Program (aejmac-robustness)
When to trigger
- The headline number rests on one specification, one sample, one lag length, or one grid
- A referee could ask "is this an artifact of [choice]?" and you have no panel of alternatives
- The empirical IRF and the model-implied response are compared but only at the baseline
- A structural/calibrated result has never been re-run under alternative targets
The AEJ: Macro robustness bar
Macro inference is fragile in characteristic ways: short effective samples, structural breaks (Great Moderation, ZLB, COVID), specification forks (lag length, detrending, prior, calibration target), and method dependence (SVAR vs. LP; perturbation vs. global). The AEJ: Macro robustness bar is to show the headline quantity survives the choices a skeptical macro referee would flip, and to be honest where it does not. Robustness is not a graveyard of extra tables — it is a targeted defense of the specific number the paper claims.
A macro robustness program (build the panel)
Empirical (SVAR / LP / narrative)
- Sample splits: pre/post-1984 (Great Moderation), exclude/keep the ZLB period, exclude COVID; report whether the response is stable.
- Specification: lag length, detrending/filtering choice (HP vs. one-sided vs. none), control set, levels vs. differences.
- Method cross-check: if SVAR is baseline, corroborate with LP (and vice versa); agreement is strong evidence.
- Inference: alternative HAC bandwidths / clustering; weak-instrument-robust bands for proxy-VAR/LP-IV.
- Identification variants: alternative orderings / sign sets / instrument constructions.
Quantitative (DSGE / HANK / structural)
- Alternative calibration targets and parameter ranges; show how the headline quantity moves.
- Alternative solution method / accuracy (higher perturbation order, finer grid) where nonlinearity matters.
- Alternative model elements (Taylor-rule coefficients, adjustment costs, market structure) the referee will name.
- Estimation: alternative moments / priors; re-estimate on a subsample.
Cross-cutting
- External validity: another country / dataset / period where the mechanism should also hold.
- Placebo / falsification: a response that should be zero (pre-shock leads; a non-targeted series).
Reporting discipline
- Lead with a one-paragraph summary of what is robust and what is not, then a compact robustness table/figure.
- Keep the baseline number visible in every robustness exhibit so the reader sees the movement.
- Put the bulk in the online appendix; main text carries the decisive checks only.
- A spec-curve / multiverse plot is powerful for empirical macro when many forks exist.
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. AEJ: Macro mixes empirical and structural work — local projections (local_projections / irf) are in StatsPAI, but DSGE / calibration estimation is outside this causal-inference toolchain.
- Many outcomes / specifications:
romano_wolf(step-down FWER, accounts for cross-test correlation) orbenjamini_hochberg— report the adjusted threshold. - OVB sensitivity:
oster_delta/sensemakr— the confounder strength that would overturn the headline. - Inference:
wild_cluster_bootstrap(few clusters),twoway_cluster/conley. - Re-fit off one handle:
audit_result(result_id)lists the missing checks and the exactsuggest_functionfor each — no guessing the battery. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Keep the decisive checks in the body and the exhaustive (now actually-run) battery in the appendix. See the executed chain in the JF execution walkthrough.
Show full SKILL.md (237 more words)Show less
Checklist
- The specific choices a referee would flip are enumerated
- Sample splits across the relevant macro breaks (Great Moderation / ZLB / COVID)
- Specification forks (lags, filtering, controls) tested with baseline shown alongside
- Method cross-check (SVAR↔LP, or perturbation↔global) where both are plausible
- Quantitative: alternative targets/parameters move the headline within a stated range
- Placebo/falsification and at least one external-validity check
- Honest statement of where the result weakens, not just where it holds
Anti-patterns
- A wall of robustness tables that never restate the baseline, so movement is invisible
- Testing only the choices that confirm the result; omitting the obvious adversarial fork
- Ignoring the ZLB/COVID break in a sample that spans it
- Claiming robustness from one alternative specification
- Hiding a fragile headline behind a forest of irrelevant checks
- "Available upon request" instead of an online-appendix robustness section
Worked vignette: is the fiscal multiplier a Great-Moderation artifact? (illustrative)
A paper reports a fiscal multiplier of 1.2 from a proxy-VAR on 1960–2019. A referee suspects it is driven by the volatile pre-1984 period. The robustness program: re-estimate on 1984–2019, exclude the ZLB years, and corroborate with local projections using the same narrative instrument. Suppose the multiplier is 1.2 full sample, 1.0 post-1984, 1.4 at the ZLB, all with overlapping bands, and the LP cross-check agrees within 0.1 — the paper then claims a multiplier "around 1.0–1.4 depending on the monetary regime," which is more credible and more interesting than the single number (illustrative).
Output format
【Headline quantity defended】... (baseline value)
【Empirical robustness】sample splits / specs / method cross-check / inference variants
【Quantitative robustness】alt targets / parameters / solution accuracy
【Placebo + external validity】...
【Where it weakens (honest)】...
【Next step】aejmac-tables-figures© 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-Macroeconomics-Skills/skills/aejmac-robustness of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aejmac Robustness 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 |
|---|---|---|---|---|---|---|
| Aejmac Robustness this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | Automated safety check: Notes | MIT |
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Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
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Categories
Questions about Aejmac Robustness
What does Aejmac Robustness do?
A skill your agent uses when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning…. Aejmac Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification, sample, identification, and tuning choices.
When should I use Aejmac Robustness?
Aejmac Robustness fits situations like: the headline result of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript must be shown stable across specification.
How do I install Aejmac Robustness in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-robustness -a claude-code`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-robustness in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejmac-robustness in your project. Claude Code loads it when a task matches its description.
How do I install Aejmac Robustness in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-robustness -a codex`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-robustness in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejmac-robustness in your project. Codex loads it when a task matches its description.
Can I use Aejmac Robustness 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 aejmac-robustness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejmac-robustness, .gemini/skills/aejmac-robustness, .github/skills/aejmac-robustness and .opencode/skills/aejmac-robustness in your project.
What does Aejmac Robustness need to run?
SKILL.md names no scripts, command-line tools or credentials: Aejmac Robustness is instructions for the agent only.
Does Aejmac Robustness 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 Aejmac Robustness 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 Aejmac Robustness use?
Aejmac Robustness 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 Aejmac Robustness use?
About 1.6k tokens (SKILL.md is roughly 6.5k 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 Aejmac Robustness?
Skills that share tags, products or a category with Aejmac Robustness: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aejmac Robustness?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.