A skill your agent uses when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates…

MITAuto-check passed

Install Expecon Submission

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills expecon-submission --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/Experimental-Economics-Skills/skills/expecon-submission .claude/skills/expecon-submission && 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
expecon-submission
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
779 words
Files
3
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates…

  • Instructions-at-submission rule
  • SKILL.md covers When to trigger, Process facts (检索于…, Preflight checklist and Right journal, right ESA outlet, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Anonymous review

What it does

Expecon Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates, instructions-at-submission rule, anonymous review, and ESA data-deposit prep. Final checks; it does not draft content.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `templates/checklist.md` and `templates/manuscript_template.md`).

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

  • Instructions-at-submission rule
  • Anonymous review
  • ESA data-deposit prep

Example prompts

  • “/expecon-submission”

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

Expecon Submission loads about 1.8k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 779 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 779 words, ~1,789 tokens.

Download SKILL.mdSave it as .claude/skills/expecon-submission/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
expecon-submission
description
Use when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates, instructions-at-submission rule, anonymous review, and ESA data-deposit prep. Final checks; it does not draft content.

Submission Preflight (expecon-submission)

When to trigger

  • "Submitting tomorrow" — the last check before uploading to Editorial Manager
  • Unsure which files the ExpEcon submission expects (manuscript, instructions, package)
  • Confirming the manuscript is anonymized for double-blind review
  • Verifying the no-deception and incentive statements are in the paper before it goes out

Process facts (检索于 2026-06;以官网为准)

  • Experimental Economics is the official journal of the Economic Science Association (ESA); as of January 2025 (Vol. 28) it is published by Cambridge University Press and is fully open access (CC BY) — it moved from Springer (verified 2026-06-22). Re-confirm the current platform and any APC/waiver before submitting.
  • Editors (verified 2026-06-22): David Huffman (Cornell), Friederike Mengel (Essex), Andreas Ortmann (UNSW), Arno Riedl (Maastricht), and Marta Serra-Garcia (UC San Diego) — co-editors rather than a single EiC. Re-verify on the Cambridge editorial-board page before naming one.
  • Submission portal: Editorial Manager (editorialmanager.com/eec). Review is anonymous (double-blind); accepted papers require the approval of two editors.
  • Hard gates: the journal only considers studies that do not deceive participants and in which participants are incentivized. These are entry conditions, not preferences.
  • Instructions at submission: the instructions participants received must be supplied at the time of submission (reviewers check them for deception and comprehension). Methodology and replication papers are explicitly in scope.
  • Data appendices: authors submit separate data appendices attached to the article page on publication, consistent with the ESA Data and Replication Policy (trusted-repository deposit). Exact length/abstract limits and APC/waiver terms are 待核实 — confirm on the current Cambridge journal page.

Preflight checklist

The two gates (verify first)
  • No deception anywhere in the design; the paper states this explicitly
  • Salient real incentives for every elicited object; ECU→money conversion and realized average payment reported
Manuscript & anonymization
  • Manuscript anonymized for double-blind review (no author names, no identifying repository/IRB links in the blind copy; self-cites neutralized)
  • Abstract states the treatment contrast and the numeric headline effect
  • Design/Procedures section is reproducible from the text; names z-Tree/oTree
  • Predictions are signed and treatment-indexed; primary vs. exploratory results labeled
  • Effect sizes reported with CIs at the session/matching-group level (not stars only)
Files for Editorial Manager
  • Main manuscript (anonymized)
  • Participant instructions for every treatment (required at submission)
  • Data appendix / replication materials per ESA policy; experiment software (z-Tree .ztt / oTree app) ready
  • Pre-registration / PAP link (or Stage-1 Registered Report protocol) and timestamp
  • Cover letter framing the methods contribution and (if relevant) replication/RR status
Declarations
  • IRB/ethics approval and consent procedure stated; explicit no-deception statement
  • Funding and competing-interest disclosures; confirmation paper is not under review elsewhere
  • Open-access/CC-BY and any APC/waiver terms checked on the current Cambridge page (待核实)

Right journal, right ESA outlet

Before you submit, confirm the paper is a full design paper, not a short-format piece. The ESA runs two journals: Experimental Economics (the method flagship, full papers) and the Journal of the Economic Science Association (JESA) — its shorter-format outlet for replications, null results, software notes, comments, and minor extensions. A brief replication or a z-Tree/oTree tool note is usually a JESA submission, not an Experimental Economics one. Submitting a short note to the flagship invites a transfer suggestion and lost time.

Show full SKILL.md (272 more words)Show less

Cover letter essentials

  • One paragraph framing the methods contribution (the design/elicitation advance), not the topic.
  • Explicit statement that the study used no deception and real salient incentives.
  • Pre-registration / Registered Report status with the registry link and timestamp.
  • If a replication: what is replicated, the added power, and why it belongs in the flagship rather than JESA.
  • Suggested non-conflicted referees (optional but useful given double-blind review).

Anti-patterns

  • Uploading without the participant instructions — a structural incompleteness here
  • Any deceptive procedure, or hypothetical/token "incentives" — a desk reject
  • A non-anonymized manuscript breaking double-blind review
  • Stars-only significance with no effect sizes/CIs at the group unit
  • Treating the new CC-BY open-access model as a submission-time fee without checking current terms
  • Sending a short replication/software note to the flagship instead of JESA

The anonymization pass (double-blind, done last)

Because review is anonymous, the blind manuscript needs a dedicated scrub that authors routinely botch:

  • Remove author names, affiliations, and acknowledgments from the blind copy.
  • Neutralize self-citations ("Smith (2022) showed" → "prior work showed [ref]") so they do not reveal authorship.
  • Strip identifying links — your lab's repository, an OSF page tied to your name, a university IRB number — from the blind copy; provide them separately for the editor.
  • Scrub document metadata (PDF author field, file properties) and any "Track Changes" author tags.
  • Keep the instructions and data-appendix references in a way that lets referees read them without de-anonymizing you.

A manuscript that names its authors through a repository link defeats the blind review the journal runs; do this pass last, after all content is final.

Output format

text
【Journal】Experimental Economics (ESA flagship; Cambridge UP, OA, 检索于 2026-06)
【Skill】expecon-submission
【Gates】no deception? salient incentives? both stated in paper? [Y/N]
【Anonymized】double-blind copy clean? [Y/N]
【Instructions】all treatments attached at submission? [Y/N]
【Package】data appendix + z-Tree/oTree + PAP/RR link ready? [Y/N]
【Declarations】IRB / disclosures / OA terms checked (待核实 where unverified)
【Next step】submit via Editorial Manager (editorialmanager.com/eec) → expecon-rebuttal after decision

Supplementary resources

© 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

SKILL.md and 2 other files in Experimental-Economics-Skills/skills/expecon-submission of brycewang-stanford/Awesome-Journal-Skills.

  • SKILL.md
  • templates/checklist.md
  • templates/manuscript_template.md

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Expecon Submission 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.

Expecon Submission compared with similar skills
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Expecon Submission this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.8kAutomated safety check: PassMIT
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Running CI PreflightPostHog/posthog40k—~1.5kAutomated safety check: PassCustom licence
Finalize Agent Promptgithub/awesome-copilot40k1 repos~224Automated safety check: PassMIT
Azure Deployment Preflightgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT
Implementation Final Reviewopenai/openai-agents-python30k—~2kAutomated safety check: PassMIT

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Questions about Expecon Submission

What does Expecon Submission do?

A skill your agent uses when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates…. Expecon Submission is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when running the final pre-submission preflight for an Experimental Economics (ExpEcon) manuscript via the Editorial Manager portal — the no-deception/incentive gates, instructions-at-submission rule, anonymous review, and ESA data-deposit prep.

When should I use Expecon Submission?

Expecon Submission fits situations like: instructions-at-submission rule; anonymous review; ESA data-deposit prep.

How do I install Expecon Submission in Claude Code?

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

How do I install Expecon Submission in Codex?

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

Can I use Expecon Submission 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 expecon-submission -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/expecon-submission, .gemini/skills/expecon-submission, .github/skills/expecon-submission and .opencode/skills/expecon-submission in your project.

What does Expecon Submission need to run?

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

Does Expecon Submission 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 Expecon Submission 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 Expecon Submission use?

Expecon Submission 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 Expecon Submission use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Expecon Submission?

Skills that share tags, products or a category with Expecon Submission: Experimental Design (aiming-lab/AutoResearchClaw, 15k stars), Running CI Preflight (PostHog/posthog, 40k stars), Finalize Agent Prompt (github/awesome-copilot, 40k stars) and Azure Deployment Preflight (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Expecon Submission?

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.