What If Oracle
K-Dense-AI/scientific-agent-skills
Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions.
A skill your agent uses when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a)…
Install Aejmic Identification
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-identification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmic-identification --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-Microeconomics-Skills/skills/aejmic-identification .claude/skills/aejmic-identification && 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 "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .claude/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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-Microeconomics-Skills/skills/aejmic-identificationType 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 aejmic-identification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmic-identification --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-Microeconomics-Skills/skills/aejmic-identification .agents/skills/aejmic-identification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .agents/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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 aejmic-identification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmic-identification --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-Microeconomics-Skills/skills/aejmic-identification .cursor/skills/aejmic-identification && 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 "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .cursor/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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-Microeconomics-Skills/skills/aejmic-identification--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 aejmic-identification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmic-identification --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-Microeconomics-Skills/skills/aejmic-identification .gemini/skills/aejmic-identification && 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 "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .gemini/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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 aejmic-identificationInstalls 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 aejmic-identification -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-Microeconomics-Skills/skills/aejmic-identification .github/skills/aejmic-identification && 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 "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .github/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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 aejmic-identification -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 aejmic-identification --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-Microeconomics-Skills/skills/aejmic-identification .opencode/skills/aejmic-identification && 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 "aejmic-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AEJ-Microeconomics-Skills/skills/aejmic-identification into .opencode/skills/aejmic-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aejmic-identification", 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
aejmic-identification- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 730 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a)…
- Works in 5 steps: detect_design → recommend → fit with… → Staggered DiD: callaway_santanna /… → IV: effective_f_test + an… → …
- The question is what makes the result tight
- SKILL.md covers When to trigger, Branch A: Pure theory — what…, Branch B: Structural /… and Branch C: Experimental…, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Aejmic Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a) structural/empirical-IO and experimental identification and (b) for pure theory, which assumptions drive the result and how robust the mechanism is. Stress-tests credibility; it does not build the model (see aejmic-theory-model).
Its SKILL.md is about 1.7k 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, covering Load testing. 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 question is what makes the result tight
- Which assumptions drive the result and how robust the mechanism is
Example prompts
- “/aejmic-identification”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- detect_design → recommend → fit with as_handle=true → audit_result to list
- Staggered DiD: callaway_santanna / sun_abraham + bacon_decomposition +
- IV: effective_f_test + an anderson_rubin_ci (valid under weak instruments),
- RDD: rdrobust (bias-corrected) + rddensity / mccrary_test for manipulation.
- OVB: oster_delta / sensemakr — how strong a confounder would have to be.
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
Aejmic Identification loads about 1.7k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 730 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). 730 words, ~1,675 tokens.
Download SKILL.mdSave it as
.claude/skills/aejmic-identification/SKILL.md (or your agent's skills folder).- name
- aejmic-identification
- description
- Use when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a) structural/empirical-IO and experimental identification and (b) for pure theory, which assumptions drive the result and how robust the mechanism is. Stress-tests credibility; it does not build the model (see aejmic-theory-model).
Identification & What Makes the Result Tight (aejmic-identification)
AEJ: Micro is theory-first, so "identification" here is two things. For pure theory it means: which assumptions are doing the work, and how tight/robust the mechanism is. For structural and experimental work it means the standard data-to-object mapping. Pick the branch.
When to trigger
- (Theory) A referee asks whether the result is a knife-edge artifact of one assumption
- (Theory) You cannot say cleanly which primitive drives the comparative static
- (Structural) Parameters are estimated but it is unclear what in the data identifies them
- (Experimental) The estimand or the assumptions behind the treatment effect are not pinned down
Branch A: Pure theory — what makes the result tight
The AEJ: Micro bar is that the reader sees exactly which assumption is load-bearing and how far the mechanism extends.
- Decompose the assumptions. For each substantive assumption, ask: is the result false without it, weaker without it, or unchanged (then it was WLOG — say so)? The result is "tight" when you can name the assumption that breaks it.
- Comparative statics as identification. Show the sign/magnitude of the key comparative static and what primitive drives it (single-crossing? a supermodularity? a curvature condition?). Monotone-comparative-statics tools (Topkis, Milgrom–Shannon) make the driver explicit.
- Necessity, not just sufficiency. Where you can, show the assumption is necessary (a counterexample when it fails), not merely sufficient — this is what makes a characterization tight.
- Robustness of the mechanism (then hand to
aejmic-robustnessfor full extensions): does the result survive a small perturbation of the information structure, the timing, or the type distribution?
Branch B: Structural / empirical IO
- Name what identifies each parameter. Tie parameters to specific data features / moments; argue identification from the model's structure, not "the estimator converged."
- Targeted vs. untargeted moments; report a sensitivity/informativeness measure so readers see which data move which parameters.
- Estimation regularity: objective (MLE/GMM/MSM), starting values, tolerances, multi-start; Monte Carlo recovery of known parameters.
- Counterfactual validity: argue the estimated parameters are policy-invariant enough for the counterfactual (Lucas critique).
- For reduced-form companions, use design-appropriate diagnostics (pre-trends, first-stage strength, density tests) and report SEs, not asterisks.
Branch C: Experimental (theory-grounded)
- Design maps to the model: each treatment isolates a model primitive or prediction; state the estimand.
- Pre-registration in a recognized registry where applicable; report deviations; include instructions/transcripts.
- Randomization balance; attrition (Lee bounds if differential); multiple-hypothesis adjustment; external-validity scope.
Show full SKILL.md (344 more words)Show less
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the identification claim, don't only argue it. Full map:
execution-with-mcp. AEJ: Micro spans applied and structural micro; the chain below is for the reduced-form / causal lane — structural estimation uses the field's own solvers.
detect_design→recommend→ fit withas_handle=true→audit_resultto list the checks the design still owes.- Staggered DiD:
callaway_santanna/sun_abraham+bacon_decomposition+honest_did_from_result(the pre-trend test is low-power, Roth 2022). - IV:
effective_f_test+ ananderson_rubin_ci(valid under weak instruments), not a 2SLS t-stat alone. - RDD:
rdrobust(bias-corrected) +rddensity/mccrary_testfor manipulation. - OVB:
oster_delta/sensemakr— how strong a confounder would have to be.
Report the economic magnitude; route the full battery to the appendix; keep every
number reproducible. A run end-to-end (synthetic data, real returns) is in the
JF execution walkthrough. If StatsPAI/Stata are not connected, adapt the
vendored resources/code/ skeleton and flag any unverified number.
Checklist
- Branch chosen; the "what makes it tight / what identifies it" question answered in one sentence
- Theory: each substantive assumption classified (false/weaker/WLOG without it); the load-bearing one named
- Theory: key comparative static signed with its driving primitive; necessity shown where possible
- Structural: each parameter tied to identifying moments; sensitivity + Monte Carlo recovery
- Experimental: estimand stated; pre-registered; balance/attrition/MHT handled
- Inference (applied): SEs / coverage sets, never asterisks; clustering correct
Anti-patterns
- (Theory) A result whose driving assumption is never identified — "it just works"
- (Theory) Claiming a characterization is tight without a counterexample when the assumption fails
- (Structural) "The estimator converged" presented as identification
- (Structural) A counterfactual on calibrated parameters with no policy-invariance argument
- (Experimental) No pre-registration or no stated estimand; significance asterisks instead of SEs
Worked vignette (illustrative)
A matching paper proves stability is preserved under a new preference domain. A referee suspects it rides on a substitutability condition. The AEJ: Micro answer names it: "Substitutability is load-bearing — without it, Example 3 exhibits an empty core; with the weaker 'unilateral substitutes' condition the existence result survives but uniqueness fails." That sentence makes the result tight: the necessary assumption is named, and the cost of relaxing it is shown.
Output format
【Branch】theory / structural / experimental
【What makes it tight / data-to-object】one sentence
【Load-bearing assumption(s) or identifying moments】[...]
【Tightness evidence】counterexample-on-failure / sensitivity+Monte Carlo / balance+estimand
【What it does NOT establish】[...]
【Next step】aejmic-robustness (extensions/edge cases)© 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-Microeconomics-Skills/skills/aejmic-identification of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aejmic Identification 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 |
|---|---|---|---|---|---|---|
| Aejmic Identification this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| What If OracleK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.9k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Paper ReviewEvoScientist/EvoSkills | 476 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Data Finderbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Weakness Scannerflonat/flonat-research | 146 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Ecta Identificationfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None |
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Related
Categories
Questions about Aejmic Identification
What does Aejmic Identification do?
A skill your agent uses when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a)…. Aejmic Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the question is what makes the result tight or what the data identify for an American Economic Journal: Microeconomics (AEJ: Micro) manuscript — covering both (a) structural/empirical-IO and experimental identification and (b) for pure theory, which assumptions drive the result and how robust the mechanism is.
When should I use Aejmic Identification?
Aejmic Identification fits situations like: the question is what makes the result tight; which assumptions drive the result and how robust the mechanism is.
How do I install Aejmic Identification in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-identification -a claude-code`. Or copy the skill folder (AEJ-Microeconomics-Skills/skills/aejmic-identification in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejmic-identification in your project. Claude Code loads it when a task matches its description.
How do I install Aejmic Identification in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmic-identification -a codex`. Or copy the skill folder (AEJ-Microeconomics-Skills/skills/aejmic-identification in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejmic-identification in your project. Codex loads it when a task matches its description.
Can I use Aejmic Identification 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 aejmic-identification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejmic-identification, .gemini/skills/aejmic-identification, .github/skills/aejmic-identification and .opencode/skills/aejmic-identification in your project.
What does Aejmic Identification need to run?
SKILL.md names no scripts, command-line tools or credentials: Aejmic Identification is instructions for the agent only.
Does Aejmic Identification 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 Aejmic Identification 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 Aejmic Identification use?
Aejmic Identification 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 Aejmic Identification use?
About 1.7k tokens (SKILL.md is roughly 6.7k 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 Aejmic Identification?
Skills that share tags, products or a category with Aejmic Identification: What If Oracle (K-Dense-AI/scientific-agent-skills, 48k stars), Paper Review (EvoScientist/EvoSkills, 476 stars), Data Finder (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Weakness Scanner (flonat/flonat-research, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aejmic Identification?
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.