Phack Router
brycewang-stanford/Auto-Empirical-Research-Skills
Entry point for the p-hacking skills suite. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.
Agent skill
Ectj Contribution Framing
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent…
Install Ectj Contribution Framing
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-contribution-framing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-contribution-framing --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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .claude/skills/ectj-contribution-framing && 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 "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .claude/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framingType 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 ectj-contribution-framing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-contribution-framing --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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .agents/skills/ectj-contribution-framing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .agents/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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 ectj-contribution-framing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-contribution-framing --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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .cursor/skills/ectj-contribution-framing && 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 "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .cursor/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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 The-Econometrics-Journal-Skills/skills/ectj-contribution-framing--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 ectj-contribution-framing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ectj-contribution-framing --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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .gemini/skills/ectj-contribution-framing && 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 "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .gemini/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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 ectj-contribution-framingInstalls 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 ectj-contribution-framing -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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .github/skills/ectj-contribution-framing && 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 "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .github/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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 ectj-contribution-framing -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 ectj-contribution-framing --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/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing .opencode/skills/ectj-contribution-framing && 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 "ectj-contribution-framing" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Econometrics-Journal-Skills/skills/ectj-contribution-framing into .opencode/skills/ectj-contribution-framing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ectj-contribution-framing", 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
ectj-contribution-framing- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 578 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent…
- Works in 4 steps: Failure mode - name the empirical or… → Leading case - state the estimator,… → Applied value - say what an applied user… → …
- Sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value
- SKILL.md covers Framing checks, EctJ-ready contribution pattern, Worked vignette:… and Framing failure modes the EctJ…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ectj Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent methods, the smallest sharp advance, the applied payoff, and scope guardrails that survive the one-week RES desk screen.
Its SKILL.md is about 1.2k 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 Econometrics and empirical research. 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
- Sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value
- Covering the failure mode of incumbent methods
- The smallest sharp advance
- The applied payoff
Example prompts
- “/ectj-contribution-framing”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Failure mode - name the empirical or methodological setting where the incumbent approach breaks.
- Leading case - state the estimator, test, identification result, or computational shortcut as the
- Applied value - say what an applied user can now estimate, test, diagnose, or report with less bias,
- Scope guardrail - say which environments are outside the theorem, simulation design, or application.
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
Ectj Contribution Framing loads about 1.2k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 578 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). 578 words, ~1,181 tokens.
Download SKILL.mdSave it as
.claude/skills/ectj-contribution-framing/SKILL.md (or your agent's skills folder).- name
- ectj-contribution-framing
- description
- Use when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent methods, the smallest sharp advance, the applied payoff, and scope guardrails that survive the one-week RES desk screen.
EctJ Contribution Framing
Use this after the method and application are known but before final writing. EctJ seeks original contributions of direct or potential value in applications, and explicitly favors path-breaking, leading-case work over exhaustive treatment. Because the Editor-in-Chief screens conforming papers within about one week and desk-rejects with little comment, the contribution must be legible fast: the summary (no more than 150 words) and opening pages have to make the advance and its applied payoff obvious on a single read.
Framing checks
- Lead with the econometric problem and why existing methods fail in an applied setting.
- State the leading-case advance: new identification logic, estimator, test, approximation, inference method, or computation.
- Explain what applied researchers can now do that they could not do cleanly before.
- Keep claims proportional to the paper's scope; do not market a narrow special case as a complete framework.
- Make the empirical application more than an illustration: it should reveal practical value.
EctJ-ready contribution pattern
Write the contribution in four linked sentences:
- Failure mode - name the empirical or methodological setting where the incumbent approach breaks.
- Leading case - state the estimator, test, identification result, or computational shortcut as the smallest sharp case that teaches the general idea.
- Applied value - say what an applied user can now estimate, test, diagnose, or report with less bias, weaker assumptions, better inference, or feasible computation.
- Scope guardrail - say which environments are outside the theorem, simulation design, or application.
If any sentence requires a page of qualification, the contribution is probably too broad for EctJ's
compact format. Route back to ectj-topic-selection and narrow the leading case.
Worked vignette: few-treated-cluster inference
A hypothetical EctJ submission proposes a restricted wild bootstrap for difference-in-differences with very few treated clusters (illustrative numbers throughout). The four-sentence pattern becomes:
- Failure mode: with 6 treated clusters out of 40, conventional cluster-robust t-tests over-reject; in the authors' pilot simulations a nominal 5% test rejects about 13% of the time.
- Leading case: a restricted wild-bootstrap test that is asymptotically valid as cluster counts grow and exactly controls size in a symmetric leading case with one treated cluster.
- Applied value: applied researchers running state-level policy evaluations can report a test whose simulated size stays near 5.4% with 6 treated clusters instead of 13%.
- Scope guardrail: validity is not claimed under heterogeneous cluster sizes beyond the simulated range or for non-binary treatments.
Each sentence is auditable against a theorem, a simulation panel, or the application exhibit. That auditability, not rhetorical breadth, is what survives the one-week RES screen.
Show full SKILL.md (155 more words)Show less
Framing failure modes the EctJ screen punishes
| Framing pattern | Why it fails at EctJ | Repair |
|---|---|---|
| "We provide a general framework for..." | Reads as exhaustive treatment, the opposite of the leading-case scope | Restate as the smallest sharp case plus an extensions remark |
| Method introduced before the applied failure | Editor cannot see direct or potential applied value quickly | Open with the empirical setting where incumbents break |
| Applied value asserted, never demonstrated | EctJ expects an empirical application even for theory papers | Point the claim at a specific application exhibit |
| Novelty defined only against statistics or ML | The econometric setting must add something | Name the econometric object and assumption the paper changes |
Calibrate against recent EctJ issues: accepted papers typically spend their first page on the failure mode and the leading-case result, deferring everything else. If the draft's first page could open a survey at a longer-format journal instead, the framing has not yet earned this venue.
Output format
[Contribution sentence] <one EctJ-ready sentence>
[Applied-value sentence] <who benefits and how>
[Existing-method gap] <what breaks before this paper>
[Scope guardrail] <what the paper does not claim>
[Intro edit] <paragraph-level fix>© 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 The-Econometrics-Journal-Skills/skills/ectj-contribution-framing of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Ectj Contribution Framing 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 |
|---|---|---|---|---|---|---|
| Ectj Contribution Framing this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Phack Routerbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Scholar Openjoshzyj/open-scholar-skill | 168 | — | ~14k | 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 |
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Categories
Questions about Ectj Contribution Framing
What does Ectj Contribution Framing do?
A skill your agent uses when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent…. Ectj Contribution Framing is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value, covering the failure mode of incumbent methods, the smallest sharp advance, the applied payoff, and scope guardrails that survive the one-week RES desk screen.
When should I use Ectj Contribution Framing?
Ectj Contribution Framing fits situations like: sharpening a contribution for The Econometrics Journal (EctJ) into a compact leading-case claim with demonstrated applied value; covering the failure mode of incumbent methods; the smallest sharp advance; the applied payoff.
How do I install Ectj Contribution Framing in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-contribution-framing -a claude-code`. Or copy the skill folder (The-Econometrics-Journal-Skills/skills/ectj-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/ectj-contribution-framing in your project. Claude Code loads it when a task matches its description.
How do I install Ectj Contribution Framing in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ectj-contribution-framing -a codex`. Or copy the skill folder (The-Econometrics-Journal-Skills/skills/ectj-contribution-framing in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/ectj-contribution-framing in your project. Codex loads it when a task matches its description.
Can I use Ectj Contribution Framing 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 ectj-contribution-framing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ectj-contribution-framing, .gemini/skills/ectj-contribution-framing, .github/skills/ectj-contribution-framing and .opencode/skills/ectj-contribution-framing in your project.
What does Ectj Contribution Framing need to run?
SKILL.md names no scripts, command-line tools or credentials: Ectj Contribution Framing is instructions for the agent only.
Does Ectj Contribution Framing 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 Ectj Contribution Framing 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 Ectj Contribution Framing use?
Ectj Contribution Framing 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 Ectj Contribution Framing use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Ectj Contribution Framing?
Skills that share tags, products or a category with Ectj Contribution Framing: Phack Router (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Scholar Open (joshzyj/open-scholar-skill, 168 stars), Stata (dylantmoore/stata-skill, 291 stars) and Stata C Plugins (dylantmoore/stata-skill, 291 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ectj Contribution Framing?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.