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Agent skill

Jleo Robustness

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational…

MITAuto-check passedResearch & Science

Install Jleo Robustness

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-robustness -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills jleo-robustness --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-robustness .claude/skills/jleo-robustness && rm -rf skills-src

Use ~/.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/

Facts

Skill name
jleo-robustness
GitHub stars
1.2k
Token cost
~1.6k tokens
SKILL.md length
703 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational…

  • Works in 5 steps: List threats before checks. For each… → Construct validity first. Because JLEO… → Mechanism vs. rival. The most persuasive… → …
  • Organizing robustness and sensitivity checks for a Journal of Law
  • SKILL.md covers When to trigger, Robustness as threat-defusal…, Sequencing the program and Execution bridge (StatsPAI /…, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jleo Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational threat each one defuses (selection into governance, reform endogeneity, measurement of institutional constructs, alternative mechanisms). Organizes the robustness program; it does not establish primary identification (jleo-identification).

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Organizing robustness and sensitivity checks for a Journal of Law
  • Organization (JLEO) manuscript — structuring checks by the institutional/organizational threat each one defuses (selection into governance
  • Reform endogeneity
  • Measurement of institutional constructs

Example prompts

  • “/jleo-robustness”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. List threats before checks. For each main result write the two or three threats that, if true, would overturn the institutional…
  2. Construct validity first. Because JLEO results hinge on measuring institutional constructs (specificity, governance form, judicial…
  3. Mechanism vs. rival. The most persuasive JLEO robustness is a test that only your mechanism predicts (e.g., the effect is concentrated…
  4. Inference robustness. Institutional treatments often have few clusters (states, courts, reforms). Use wild-cluster bootstrap or…
  5. Bound the unobservable. Where selection cannot be fully ruled out, use Oster-style bounds or sensitivity analysis to show how strong…

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

Jleo Robustness loads about 1.6k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 703 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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). 703 words, ~1,632 tokens.

Download SKILL.mdSave it as .claude/skills/jleo-robustness/SKILL.md (or your agent's skills folder).
name
jleo-robustness
description
Use when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational threat each one defuses (selection into governance, reform endogeneity, measurement of institutional constructs, alternative mechanisms). Organizes the robustness program; it does not establish primary identification (jleo-identification).

Robustness Strategy (jleo-robustness)

When to trigger

  • The main result holds but a referee will ask "is this an artifact of the sample / specification / measurement?"
  • The robustness section is a mechanical appendix list ("Table A1–A8") with no threat each addresses
  • The institutional measure (asset specificity, governance form, judicial independence) is a proxy whose validity is questionable
  • An alternative mechanism could produce the same pattern and is not yet ruled out
  • The estimate is sensitive to clustering, controls, or the treatment-timing window

Robustness as threat-defusal at JLEO

JLEO referees — institutional and organizational economists — do not reward a wall of robustness tables. They reward a robustness program organized by the specific threats to the institutional claim. For each headline result, name the threats, then show the check that defuses each. The institution-specific threats cluster as follows:

Threat to the institutional claimThe check that defuses it
Selection into the governance form / institutionIV / selection model / matching robustness; bound the selection (Oster δ)
Endogenous reform timing or anticipationevent-study leads; placebo timing; controls for pre-trends; alternative timing windows
The institutional construct is mismeasuredalternative proxies for the construct; measurement-error bounds; cross-validate the measure
An alternative mechanism explains the patterna test that separates your mechanism from the rival (heterogeneity prediction, falsification)
Inference is fragile (few clusters, serial correlation)wild-cluster bootstrap; alternative clustering levels; randomization inference
Functional form / spec mininga small, principled spec curve; pre-specified controls; not 40 arbitrary specs

Sequencing the program

  1. List threats before checks. For each main result write the two or three threats that, if true, would overturn the institutional interpretation. Robustness exists to kill those, not to fill pages.
  2. Construct validity first. Because JLEO results hinge on measuring institutional constructs (specificity, governance form, judicial independence, committee power), validate the measure early — alternative operationalizations should not move the conclusion.
  3. Mechanism vs. rival. The most persuasive JLEO robustness is a test that only your mechanism predicts (e.g., the effect is concentrated where transaction-cost theory says it should be, absent where it should not). This doubles as evidence, not just defense.
  4. Inference robustness. Institutional treatments often have few clusters (states, courts, reforms). Use wild-cluster bootstrap or randomization inference and report it.
  5. Bound the unobservable. Where selection cannot be fully ruled out, use Oster-style bounds or sensitivity analysis to show how strong unobserved selection would have to be to overturn the result.
Show full SKILL.md (309 more words)Show less

Execution bridge (StatsPAI / Stata MCP)

Run the battery, don't just enumerate it. Full map: execution-with-mcp. JLEO is law-and-economics/organizations; institutional designs with endogeneity — foreground identification.

  • Many outcomes / specifications: romano_wolf (step-down FWER) or benjamini_hochberg.
  • OVB sensitivity: oster_delta / sensemakr.
  • Inference: wild_cluster_bootstrap (few clusters), twoway_cluster / conley.
  • Re-fit off one handle: audit_result(result_id) lists missing checks + the exact suggest_function for each.
  • Exhibits: etable / did_summary_to_latex from the handle — no retyped numbers.

Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.

Checklist

  • Each headline result has a named list of two or three threats to its institutional interpretation
  • Every robustness exhibit maps to one named threat (not a generic "additional specifications" dump)
  • The institutional construct is validated with at least one alternative measure
  • A test that separates the proposed mechanism from the leading rival is included
  • Inference robustness shown for few-cluster / serial-correlation concerns
  • Selection sensitivity (Oster δ or equivalent) reported where selection is the live threat

Anti-patterns

  • A robustness appendix organized by table number rather than by threat
  • Reporting twenty specifications without saying which threat each one rules out (reads as fishing)
  • Ignoring measurement of the institutional construct while piling controls on the regression
  • Leaving the leading alternative mechanism un-tested because the main result is "significant"
  • Default one-way clustering with a handful of institutional clusters and no bootstrap

Worked vignette (illustrative)

A paper claims judicial independence reduces expropriation of firms. Threats: (1) independence is endogenous to economic conditions; (2) the independence index is noisy; (3) general rule-of-law improvement, not independence specifically, drives the result. The threat-organized program: an event study around a constitutional reform isolating timing (threat 1); two alternative independence indices that agree (threat 2); and a placebo on a rule-of-law dimension that the mechanism says should not matter for this outcome (threat 3). Each table is captioned by the threat it kills, not by its position in the appendix.

Output format

text
【Headline result】[...]
【Threats to the institutional interpretation】1) ___ 2) ___ 3) ___
【Check per threat】threat 1 → ___ ; threat 2 → ___ ; threat 3 → ___
【Construct validity】alternative measure(s): ___
【Mechanism vs. rival test】[...]
【Inference robustness】wild-cluster / randomization / alt-clustering: ___
【Selection bound】Oster δ or sensitivity: ___
【Next skill】jleo-tables-figures

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-robustness of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Categories

Questions about Jleo Robustness

What does Jleo Robustness do?

A skill your agent uses when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational…. Jleo Robustness is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when organizing robustness and sensitivity checks for a Journal of Law, Economics, and Organization (JLEO) manuscript — structuring checks by the institutional/organizational threat each one defuses (selection into governance, reform endogeneity, measurement of institutional constructs, alternative mechanisms).

When should I use Jleo Robustness?

Jleo Robustness fits situations like: organizing robustness and sensitivity checks for a Journal of Law; organization (JLEO) manuscript — structuring checks by the institutional/organizational threat each one defuses (selection into governance; reform endogeneity; measurement of institutional constructs.

How do I install Jleo Robustness in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-robustness -a claude-code`. Or copy the skill folder (Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-robustness in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/jleo-robustness in your project. Claude Code loads it when a task matches its description.

How do I install Jleo Robustness in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-robustness -a codex`. Or copy the skill folder (Journal-of-Law-Economics-and-Organization-Skills/skills/jleo-robustness in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/jleo-robustness in your project. Codex loads it when a task matches its description.

Can I use Jleo Robustness in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jleo-robustness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jleo-robustness, .gemini/skills/jleo-robustness, .github/skills/jleo-robustness and .opencode/skills/jleo-robustness in your project.

What does Jleo Robustness need to run?

SKILL.md names no scripts, command-line tools or credentials: Jleo Robustness is instructions for the agent only.

Does Jleo Robustness access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Jleo Robustness safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Jleo Robustness use?

Jleo Robustness is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Jleo Robustness use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Jleo Robustness?

Skills that share tags, products or a category with Jleo Robustness: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jleo Robustness?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.