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 empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment.
Install Eer Identification
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eer-identification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eer-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/European-Economic-Review-Skills/skills/eer-identification .claude/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .claude/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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/European-Economic-Review-Skills/skills/eer-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 eer-identification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eer-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/European-Economic-Review-Skills/skills/eer-identification .agents/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .agents/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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 eer-identification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eer-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/European-Economic-Review-Skills/skills/eer-identification .cursor/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .cursor/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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 European-Economic-Review-Skills/skills/eer-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 eer-identification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eer-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/European-Economic-Review-Skills/skills/eer-identification .gemini/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .gemini/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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 eer-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 eer-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/European-Economic-Review-Skills/skills/eer-identification .github/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .github/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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 eer-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 eer-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/European-Economic-Review-Skills/skills/eer-identification .opencode/skills/eer-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 "eer-identification" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/European-Economic-Review-Skills/skills/eer-identification into .opencode/skills/eer-identification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eer-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
eer-identification- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 640 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment.
- The empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study
- SKILL.md covers When to trigger, The EER identification bar, Branch paths and Execution bridge (StatsPAI /…, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Load testing
What it does
Eer Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment. Stress-tests the design to EER's general-interest credibility bar before exhibits are finalized; it does not build the theory model or the robustness battery.
Its SKILL.md is about 1.5k 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 empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study
- Tasks that involve Load testing
Example prompts
- “/eer-identification”
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
Eer Identification loads about 1.5k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 640 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). 640 words, ~1,538 tokens.
Download SKILL.mdSave it as
.claude/skills/eer-identification/SKILL.md (or your agent's skills folder).- name
- eer-identification
- description
- Use when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment. Stress-tests the design to EER's general-interest credibility bar before exhibits are finalized; it does not build the theory model or the robustness battery.
Identification Strategy (eer-identification)
When to trigger
- A causal claim rests on OLS + controls, or TWFE on staggered timing
- An IV's exclusion restriction or first-stage strength is contested
- An RDD's continuity/manipulation assumptions are unexamined
- An experiment's estimand, balance, or pre-registration is unclear
- You are unsure the design clears EER's credibility bar for a general-interest readership
The EER identification bar
EER publishes broadly across empirical economics, so identification is judged on credibility legible to a general reader: the mapping from variation in the data to the causal object must be explicit, the key assumption stated, and the most obvious threat pre-empted. Because review is single-anonymized, the referee is often a methods expert in your exact design — modern, design-appropriate estimators and honest inference are expected. Report standard errors and confidence intervals (EER house style; do not lean on significance stars — see eer-tables-figures). Match the size of the causal claim to what the design supports.
Branch paths
Branch A: DiD / event study
- With staggered adoption, move beyond TWFE (Callaway–Sant'Anna, Sun–Abraham, de Chaisemartin–D'Haultfœuille); a TWFE coefficient on staggered timing must be defended against heterogeneity bias.
- Show a clean event-study with pre-treatment leads (flat, precisely estimated) and dynamic post effects.
- Report a Goodman-Bacon decomposition when using two-way fixed effects.
- State the parallel-trends assumption and a pre-trends / sensitivity argument (e.g., Rambachan–Roth honest DiD).
Branch B: IV
- Strong first stage (report the first-stage F / effective F); with weak instruments use Anderson–Rubin / weak-IV-robust sets.
- Defend the exclusion restriction in theory, institutions, and a falsification/placebo test.
- Be explicit about the LATE / complier interpretation; do not generalize beyond it.
Branch C: RDD
- Density/manipulation test (McCrary or Cattaneo–Jansson–Ma); covariate smoothness at the cutoff.
- Optimal bandwidth + bias-corrected CIs (Calonico–Cattaneo–Titiunik); show sensitivity to bandwidth.
- State the local nature of the estimate.
Branch D: Experiment / behavioral
- Pre-registration where applicable; report deviations; include instructions / survey transcripts.
- Randomization balance; attrition (Lee bounds if differential); multiple-hypothesis adjustment.
- State the estimand and external-validity scope.
Clustering at the level of treatment assignment; with few clusters use wild-cluster bootstrap. Pair this skill with
eer-robustnessfor the specification/sample battery.
Execution bridge (StatsPAI / Stata MCP)
Estimate and audit the design, don't only describe it. Full map:
execution-with-mcp. EER is a general economics field journal; the DiD/IV/RDD chain serves its applied lane.
detect_design→recommend→ fit withas_handle=true→audit_result.- Observational causal claims: staggered DiD (
callaway_santanna/sun_abraham+bacon_decomposition+honest_did_from_result); IV (effective_f_test+anderson_rubin_ci); RDD (rdrobust+mccrary_test). - Experiments: randomization-based inference +
romano_wolffor many-outcome control. - Sensitivity:
oster_delta/sensemakrfor observational claims.
Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.
Show full SKILL.md (212 more words)Show less
Checklist
- Branch chosen; the variation-to-causal-object mapping stated in one sentence
- DiD: heterogeneity-robust estimator where TWFE would bias; flat pre-trends shown
- IV: first-stage strength reported; exclusion defended + falsification; LATE stated
- RDD: density test + bias-corrected CI + bandwidth sensitivity
- Experiment: pre-registered (if applicable); balance/attrition/MHT handled; estimand stated
- Inference: SEs/CIs reported, clustering at assignment level, few-cluster fix if needed
- Causal claim never exceeds what the design supports
Anti-patterns
- TWFE on staggered treatment with no heterogeneity-bias discussion
- An IV with an asserted-but-undefended exclusion restriction
- RDD with no manipulation test and a single hand-picked bandwidth
- An experiment with no pre-registration mention and no estimand
- Reporting significance with asterisks instead of SEs/CIs (against EER house style)
- Generalizing a LATE or a local RDD effect to a population it does not identify
Worked vignette (illustrative)
A migration paper uses a staggered visa-liberalization rollout. A weak version runs TWFE and reports a wage effect with stars. An EER version re-estimates with Callaway–Sant'Anna, shows flat leads and a dynamic post path, reports the effect as -1.4% local wages (s.e. 0.5, illustrative), runs Rambachan–Roth sensitivity, and states the estimand is the effect on incumbents in receiving regions — not a national average. The general-interest lesson (how labor supply shocks transmit to local wages) is named so a non-migration economist sees the point.
Output format
【Branch】DiD / IV / RDD / experiment
【Variation→object mapping】one sentence
【Key assumption】stated + the main threat pre-empted
【Design evidence】[pre-trends / first-stage F / density test / balance]
【Inference】SEs/CIs; clustering level; few-cluster fix?
【What it does NOT identify】[...]
【Next step】eer-theory-model (if a mechanism is needed) or eer-robustness© 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 European-Economic-Review-Skills/skills/eer-identification of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Eer 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 |
|---|---|---|---|---|---|---|
| Eer Identification this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | 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 | 478 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Data Finderbrycewang-stanford/Auto-Empirical-Research-Skills | 4.6k | — | ~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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Categories
Questions about Eer Identification
What does Eer Identification do?
A skill your agent uses when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment. Eer Identification is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study, IV, RDD, or experiment.
When should I use Eer Identification?
Eer Identification fits situations like: the empirical causal-identification argument is the bottleneck for a European Economic Review (EER) manuscript — DiD/event-study; tasks that involve Load testing.
How do I install Eer Identification in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eer-identification -a claude-code`. Or copy the skill folder (European-Economic-Review-Skills/skills/eer-identification in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eer-identification in your project. Claude Code loads it when a task matches its description.
How do I install Eer Identification in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eer-identification -a codex`. Or copy the skill folder (European-Economic-Review-Skills/skills/eer-identification in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eer-identification in your project. Codex loads it when a task matches its description.
Can I use Eer 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 eer-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/eer-identification, .gemini/skills/eer-identification, .github/skills/eer-identification and .opencode/skills/eer-identification in your project.
What does Eer Identification need to run?
SKILL.md names no scripts, command-line tools or credentials: Eer Identification is instructions for the agent only.
Does Eer 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 Eer 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 Eer Identification use?
Eer 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 Eer Identification use?
About 1.5k tokens (SKILL.md is roughly 6.2k 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 Eer Identification?
Skills that share tags, products or a category with Eer Identification: What If Oracle (K-Dense-AI/scientific-agent-skills, 48k stars), Paper Review (EvoScientist/EvoSkills, 478 stars), Data Finder (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k 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 Eer Identification?
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.