Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when an AEJ: Economic Policy manuscript's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats.
Install Aejpol Robustness
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-robustness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .claude/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .claude/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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-Economic-Policy-Skills/skills/aejpol-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 aejpol-robustness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .agents/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .agents/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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 aejpol-robustness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .cursor/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .cursor/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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-Economic-Policy-Skills/skills/aejpol-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 aejpol-robustness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .gemini/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .gemini/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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 aejpol-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 aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .github/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .github/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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 aejpol-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 aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness .opencode/skills/aejpol-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 "aejpol-robustness" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Economic-Policy-Skills/skills/aejpol-robustness into .opencode/skills/aejpol-robustness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejpol-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
aejpol-robustness- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 752 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's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats.
- An AEJ: Economic Policy manuscripts headline policy estimate needs to be shown stable and credible against specification
- SKILL.md covers When to trigger, Principle: robustness defends…, Execution bridge (StatsPAI /… and Checklist, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Identification threats
What it does
Aejpol Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an AEJ: Economic Policy manuscript's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats. Organizes the robustness program by threat-to-the-policy-conclusion; it does not design the primary identification or write exhibits.
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
- An AEJ: Economic Policy manuscripts headline policy estimate needs to be shown stable and credible against specification
- Identification threats
Example prompts
- “/aejpol-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
Aejpol Robustness loads about 1.6k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 752 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). 752 words, ~1,650 tokens.
Download SKILL.mdSave it as
.claude/skills/aejpol-robustness/SKILL.md (or your agent's skills folder).- name
- aejpol-robustness
- description
- Use when an AEJ: Economic Policy manuscript's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats. Organizes the robustness program by threat-to-the-policy-conclusion; it does not design the primary identification or write exhibits.
Robustness — Defending the Policy Estimate (aejpol-robustness)
When to trigger
- The headline causal estimate moves across specifications, or you do not yet know if it does
- A referee will ask "is this robust?" and you have no organized answer
- Inference (clustering, few clusters, multiple outcomes) is not yet airtight
- You need to show the policy conclusion, not just a coefficient, survives stress
Principle: robustness defends the policy conclusion, not the coefficient
At AEJ: Policy, robustness is judged by whether the policy takeaway is stable — if the headline estimate is the cost-per-job or the MVPF, show that number is stable, with its uncertainty, not merely that a regression coefficient stays significant. Organize the robustness program around the threats that would change the policy conclusion, and report enough that a skeptical referee can see each threat addressed.
Robustness by threat (each maps to a concrete check)
| Threat to the policy conclusion | Check |
|---|---|
| Functional form / controls drive the result | Specification ladder; show the estimate across a coherent set, not a single lucky spec |
| Pre-trends / parallel-trends violation | Honest-DID (Rambachan–Roth) sensitivity bounds; placebo pre-period "effects" |
| Estimator bias under staggered timing | Re-estimate with ≥1 heterogeneity-robust DID estimator (CS / SA / BJS / dCDH) |
| Bandwidth / kernel (RDD) | Bandwidth sweep + bias-corrected CIs; donut-RDD if heaping at the cutoff |
| Weak / invalid instrument | Effective F; AR-robust CI; over-ID test if available |
| Wrong inference / few clusters | Wild-cluster bootstrap; report clustering level sensitivity |
| Multiple outcomes / specifications | Romano–Wolf / sharpened q-values; a specification curve where many specs are run |
| Confounding by an omitted policy/shock | Controls for co-timed policies; event-study around the focal reform only |
| Selection on unobservables | Oster (2019) δ / bounds; argue the implied selection is implausible |
| Sample composition / outliers | Drop influential jurisdictions; winsorize; alternative sample windows |
Sensitivity that is policy-specific
- If the policy lesson depends on a welfare parameter you calibrate (discount rate, value of a statistic, recycling rule), report the lesson across a plausible range of that parameter, not one value.
- If external validity is the policy worry, show heterogeneity by jurisdiction characteristics and discuss which settings the estimate travels to.
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. AEJ: Policy evaluates programs and reforms; the design must carry a policy-relevant magnitude, not just statistical significance.
- 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 (297 more words)Show less
Checklist
- The headline policy number (not just a coefficient) is shown stable across specs
- The single most likely referee threat is pre-empted with a dedicated exhibit
- At least one heterogeneity-robust estimator shown where staggered timing applies
- Inference stress-tested (wild-cluster / AR / multiple-testing as relevant)
- Selection-on-unobservables addressed (Oster bounds or equivalent)
- Calibrated welfare parameters varied across a defended range
- No "kitchen-sink" robustness with no narrative — each check answers a named threat
Anti-patterns
- A robustness section that is a wall of tables with no statement of which threat each rebuts
- Showing the coefficient is stable while the welfare/policy number is never re-derived
- A specification curve run but only the favorable region discussed
- Treating "still significant" as robustness while ignoring magnitude stability
- Calibrating one welfare parameter value and never probing it
Sequencing the robustness section for a referee
Order the section so a referee meets the answer before the doubt: (1) the main heterogeneity-robust estimate and its event-study; (2) the single most likely fatal threat with its dedicated check; (3) the inference stress-tests; (4) a compact specification curve or table of remaining variants; (5) the calibrated-parameter sensitivity for the welfare number. Each subsection ends with one sentence stating that the policy conclusion is unchanged, with its band — not merely that the coefficient stays signed.
Worked vignette (illustrative)
A staggered-DID estimate of a minimum-wage change on employment is the basis for a "small disemployment cost" policy claim. A referee will doubt staggered TWFE and pre-trends. The robustness program: CS and SA estimators (estimate within 10% of TWFE, illustrative), flat pre-period leads, an honest-DID bound showing the sign survives a pre-trend twice the largest observed lead, and wild-cluster inference across 30 states. The policy claim — disemployment cost per dollar of raised earnings — is re-derived under each and reported with its band.
Output format
【Headline policy number】the quantity whose stability you defend
【Top 3 threats】ranked by how badly each would change the conclusion
【Checks per threat】[threat → check → result]
【Inference】clustering / few-cluster / multiple-testing handling
【Calibrated-parameter sensitivity】range probed + conclusion stability
【Next step】aejpol-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-Economic-Policy-Skills/skills/aejpol-robustness of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aejpol 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 |
|---|---|---|---|---|---|---|
| Aejpol 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 | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
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Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
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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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Structured manuscript/grant review with checklist-based evaluation.
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Questions about Aejpol Robustness
What does Aejpol Robustness do?
A skill your agent uses when an AEJ: Economic Policy manuscript's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats. Aejpol Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an AEJ: Economic Policy manuscript's headline policy estimate needs to be shown stable and credible against specification, sample, inference, and identification threats.
When should I use Aejpol Robustness?
Aejpol Robustness fits situations like: an AEJ: Economic Policy manuscripts headline policy estimate needs to be shown stable and credible against specification; identification threats.
How do I install Aejpol Robustness in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-robustness -a claude-code`. Or copy the skill folder (AEJ-Economic-Policy-Skills/skills/aejpol-robustness in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejpol-robustness in your project. Claude Code loads it when a task matches its description.
How do I install Aejpol Robustness in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-robustness -a codex`. Or copy the skill folder (AEJ-Economic-Policy-Skills/skills/aejpol-robustness in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejpol-robustness in your project. Codex loads it when a task matches its description.
Can I use Aejpol 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 aejpol-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/aejpol-robustness, .gemini/skills/aejpol-robustness, .github/skills/aejpol-robustness and .opencode/skills/aejpol-robustness in your project.
What does Aejpol Robustness need to run?
SKILL.md names no scripts, command-line tools or credentials: Aejpol Robustness is instructions for the agent only.
Does Aejpol 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 Aejpol 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 Aejpol Robustness use?
Aejpol 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 Aejpol Robustness use?
About 1.6k tokens (SKILL.md is roughly 6.6k 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 Robustness?
Skills that share tags, products or a category with Aejpol 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 Aejpol Robustness?
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.