Stata
dylantmoore/stata-skill
Comprehensive Stata reference for writing correct .do files, data management, econometrics, causal inference, graphics, Mata programming, and 20 community packages (reghdfe, estout, did, rdrobust…
Agent skill
Identification Proofs
by brycewang-stanford in brycewang-stanford/Auto-Empirical-Research-Skills
This skill covers formal identification arguments and proofs in structural and reduced-form econometrics.
Install Identification Proofs
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill identification-proofs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills identification-proofs --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/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .claude/skills/identification-proofs && 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 "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .claude/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofsType 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/Auto-Empirical-Research-Skills --skill identification-proofs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills identification-proofs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .agents/skills/identification-proofs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .agents/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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/Auto-Empirical-Research-Skills --skill identification-proofs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills identification-proofs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .cursor/skills/identification-proofs && 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 "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .cursor/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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/Auto-Empirical-Research-Skills.git --path skills/11-James-Traina-compound-science/skills/identification-proofs--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/Auto-Empirical-Research-Skills --skill identification-proofs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills identification-proofs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .gemini/skills/identification-proofs && 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 "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .gemini/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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/Auto-Empirical-Research-Skills identification-proofsInstalls 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/Auto-Empirical-Research-Skills --skill identification-proofs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .github/skills/identification-proofs && 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 "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .github/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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/Auto-Empirical-Research-Skills --skill identification-proofs -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/Auto-Empirical-Research-Skills identification-proofs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/11-James-Traina-compound-science/skills/identification-proofs .opencode/skills/identification-proofs && 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 "identification-proofs" agent skill from https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/11-James-Traina-compound-science/skills/identification-proofs into .opencode/skills/identification-proofs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "identification-proofs", 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
identification-proofs- GitHub stars
- 4.5k
- Token cost
- ~2.5k tokens
- SKILL.md length
- 915 words
- Files
- 4 (incl. references)
- Skills in repo
- 364
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
This skill covers formal identification arguments and proofs in structural and reduced-form econometrics.
- Works in 7 steps: Target Parameter → Model Primitives → Source of Variation → …
- The user needs to prove
- SKILL.md covers When to Use This Skill, What Identification Means, The 7-Step Canonical Structure and Identification Arguments by…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Identification Proofs is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Use when the user needs to prove or formalize that a parameter is identified — including writing identification propositions, stating regularity conditions, deriving rank conditions, or showing observational equivalence fails. Triggers on "identification proof", "identification argument", "identify the parameter", "show identification", "identification condition", "exclusion restriction proof", "rank…
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/derivation-tools.md`, `references/proof-template.md` and `references/regularity-and-partial-id.md`).
It sits in Research & Science, covering Econometrics and empirical research. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会科学学科的实证研究。CoPaper.AI…
When your agent uses it
- The user needs to prove
- Formalize that a parameter is identified — including writing identification propositions
- Stating regularity conditions
- Deriving rank conditions
Example prompts
- “identification proof”
- “identification argument”
- “identify the parameter”
- “/identification-proofs”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Target Parameter
- Model Primitives
- Source of Variation
- Key Assumptions
- Identification Result
- Regularity Conditions
- Estimation Link
What it can do on your machine
Read from SKILL.md and the folder at commit 9fa87d8. 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 (its code samples are latex).
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
Identification Proofs loads about 2.5k tokens when it runs, and up to ~6.8k if it reads all its reference files. Until then it costs about 243 tokens; SKILL.md has 915 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 915 words (~2,472 tokens).
“Reference for writing formal and informal identification arguments: from stating the target parameter precisely, through deriving the identification result, to connecting it to a feasible estimator.”
- name
- identification-proofs
- argument-hint
- <target parameter or identification result>
Files
SKILL.md and 3 other files (references) in skills/11-James-Traina-compound-science/skills/identification-proofs of brycewang-stanford/Auto-Empirical-Research-Skills.
- SKILL.md
- references/derivation-tools.md
- references/proof-template.md
- references/regularity-and-partial-id.md
Open the folder on GitHubat commit 9fa87d8
Compare with similar skills
Identification Proofs 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 |
|---|---|---|---|---|---|---|
| Identification Proofs this skillbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.5k | Automated safety check: Pass | Custom licence | |
| Statadylantmoore/stata-skill | 291 | 1 repos | ~4.2k | Automated safety check: Pass | Custom licence | |
| Stata C Pluginsdylantmoore/stata-skill | 291 | 1 repos | ~5.8k | Automated safety check: Pass | Custom licence | |
| Example Datasetspymc-labs/CausalPy | 1.2k | — | ~587 | Automated safety check: Pass | Apache-2.0 | |
| Stata AuditSepineTam/mcp-for-stata | 264 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Stata Skill Contributordylantmoore/stata-skill | 291 | 1 repos | ~2.4k | Automated safety check: Pass | Custom licence |
Similar skills
Stata C Plugins
dylantmoore/stata-skill
Develop high-performance C/C++ plugins for Stata using the stplugin.h SDK.
Example Datasets
pymc-labs/CausalPy
Load built-in CausalPy example datasets for demos, tutorials, tests, and quick causal-analysis prototypes.
Stata Audit
SepineTam/mcp-for-stata
Inspect, validate, summarize, and render local Stata-MCP audit evidence under .statamcp.
Stata Skill Contributor
dylantmoore/stata-skill
Guide for contributing to the stata-skill project. An agent skill from dylantmoore/stata-skill.
Review Paper
maxwell2732/paper-replicate-agent-demo
Comprehensive manuscript review covering argument structure, econometric specification, citation completeness, and potential referee objections
More from brycewang-stanford/Auto-Empirical-Research-Skills
All 364 skills in this repoLatex Paper En
brycewang-stanford/Auto-Empirical-Research-Skills
English LaTeX academic paper assistant for existing .tex projects.
Bayesian Workflow
brycewang-stanford/Auto-Empirical-Research-Skills
Opinionated Bayesian modeling workflow with PyMC and ArviZ. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Five Questions
brycewang-stanford/Auto-Empirical-Research-Skills
Deeply analyze any empirical economics PDF using the five-question framework (五问框架): research question, identification strategy, core estimand, robustness logic, and scholarly contribution.
Kaggle Research
brycewang-stanford/Auto-Empirical-Research-Skills
A skill your agent uses when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an…
Latex Thesis Zh
brycewang-stanford/Auto-Empirical-Research-Skills
Chinese LaTeX thesis assistant for existing .tex degree thesis projects (XeLaTeX/LuaLaTeX/latexmk).
Obsidian Project Memory
brycewang-stanford/Auto-Empirical-Research-Skills
This skill should be used when the user asks to maintain an Obsidian knowledge base for a research project, import an existing research repository into Obsidian, keep project memory or daily notes…
Related
Categories
Questions about Identification Proofs
What does Identification Proofs do?
This skill covers formal identification arguments and proofs in structural and reduced-form econometrics. Identification Proofs is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. This skill covers formal identification arguments and proofs in structural and reduced-form econometrics.
When should I use Identification Proofs?
Identification Proofs fits situations like: the user needs to prove; formalize that a parameter is identified — including writing identification propositions; stating regularity conditions; deriving rank conditions.
How do I install Identification Proofs in Claude Code?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill identification-proofs -a claude-code`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/identification-proofs in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/identification-proofs in your project. Claude Code loads it when a task matches its description.
How do I install Identification Proofs in Codex?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill identification-proofs -a codex`. Or copy the skill folder (skills/11-James-Traina-compound-science/skills/identification-proofs in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/identification-proofs in your project. Codex loads it when a task matches its description.
Can I use Identification Proofs 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/Auto-Empirical-Research-Skills --skill identification-proofs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/identification-proofs, .gemini/skills/identification-proofs, .github/skills/identification-proofs and .opencode/skills/identification-proofs in your project.
What does Identification Proofs need to run?
SKILL.md names no scripts, command-line tools or credentials: Identification Proofs is instructions for the agent only.
Does Identification Proofs 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 Identification Proofs 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 Identification Proofs use?
Identification Proofs has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Identification Proofs use?
About 2.5k tokens (SKILL.md is roughly 9.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.3k tokens, read only when the agent opens those files.
What are the alternatives to Identification Proofs?
Skills that share tags, products or a category with Identification Proofs: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Identification Proofs?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,529 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 5, 2026.
Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.