A skill your agent uses when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity.

MITAuto-check passedResearch & Science

Install Rt Execution Bridge

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-execution-bridge -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills rt-execution-bridge --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/Research-Toolkit-Skills/skills/rt-execution-bridge .claude/skills/rt-execution-bridge && 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
rt-execution-bridge
GitHub stars
1.2k
Token cost
~709 tokens
SKILL.md length
225 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity.

  • Works in 4 steps: detect_design → preflight / recommend →… → audit_result(result_id) — enumerate the… → Design-specific sensitivity from the… → …
  • An empirical analysis should be RUN and audited
  • SKILL.md covers When to trigger, The spine (always), Design → tools (summary; full… and Hard rules, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Rt Execution Bridge is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited number. Defers result placement and house style to the target journal's pack.

Its SKILL.md is about 710 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 and MCP servers. It works with LaTeX. 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

  • An empirical analysis should be RUN and audited
  • Not just advised — DiD
  • Synthetic control
  • Multiple-testing

Example prompts

  • “/rt-execution-bridge”

Workflow steps

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

  1. detect_design → preflight / recommend → fit with as_handle=true.
  2. audit_result(result_id) — enumerate the checks the design still owes; run each
  3. Design-specific sensitivity from the handle (honest_did_from_result,
  4. bibtex(keys=[…]) for citations — never invent references.

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

Rt Execution Bridge loads about 709 tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~89
When it runs · the whole SKILL.md, loaded when a task matches
~709

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). 225 words, ~709 tokens.

Download SKILL.mdSave it as .claude/skills/rt-execution-bridge/SKILL.md (or your agent's skills folder).
name
rt-execution-bridge
description
Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Maps the design to the concrete StatsPAI / Stata MCP tools in this environment and reports the fitted, audited number. Defers result placement and house style to the target journal's pack.

Execution Bridge (rt-execution-bridge)

Close the last mile: turn "you should use a heterogeneity-robust DiD / weak-IV-robust CI / multiple-testing correction" into an actual fitted, audited estimate. Full map + orchestration spine + validated worked-examples (DiD / IV / RDD / synthetic-control / DML): shared-resources/empirical-methods/execution-with-mcp.md.

When to trigger

  • You have data and a design and need the actual estimate + its diagnostics.
  • A reviewer objection (real or simulated) needs an executed answer (e.g. "TWFE is biased under staggered adoption" → run Callaway–Sant'Anna + Goodman-Bacon).

The spine (always)

  1. detect_design → preflight / recommend → fit with as_handle=true.
  2. audit_result(result_id) — enumerate the checks the design still owes; run each suggest_function it names.
  3. Design-specific sensitivity from the handle (honest_did_from_result, sensitivity_from_result, evalue_from_result).
  4. bibtex(keys=[…]) for citations — never invent references.

Design → tools (summary; full table in the canonical doc)

  • Staggered DiD: callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result.
  • IV: iv + effective_f_test + anderson_rubin_ci (weak-IV-robust).
  • RDD: rdrobust + rddensity / mccrary_test.
  • Synthetic control: synth / sdid + placebo inference.
  • DML / high-dim: dml + dml_diagnostics (overlap) + oster / sensemakr.
  • Multiple testing / inference: romano_wolf, wild_cluster_bootstrap, twoway_cluster.
  • Exhibits: etable / did_summary_to_latex straight from the handle.

Hard rules

  1. Run, don't claim — every reported estimate/CI/F/bound traces to a tool call.
  2. bibtex is the only citation source.
  3. Method here, placement there — where the result goes (body vs. appendix, page limit, house table style) is the target pack's skills + official-source-map.md.
  4. Degrade honestly — if StatsPAI/Stata are not connected, adapt the code/ skeleton and flag any unverified number.

Output format

【Design】DiD / IV / RDD / SCM / DML / …
【Estimate】point [CI] (estimator)
【Key diagnostic】(first-stage/effective F, pre-trends p, overlap, placebo p, …)
【Audit gaps run】…
【Magnitude】interpretable units
【Next】rt-submission-readiness / the pack's tables-figures skill

© 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 Research-Toolkit-Skills/skills/rt-execution-bridge of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Rt Execution Bridge 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.

Rt Execution Bridge compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Rt Execution Bridge this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~709Automated safety check: PassMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0
Nature Academic SearchTai609/NebulaMat100—~1.2kAutomated safety check: PassCustom licence
Fin Paper Writingcsmar432/finai-research109—~2.3kAutomated safety check: PassMIT
Fin Ref Papercsmar432/finai-research109—~2kAutomated safety check: PassMIT
Academic Paper Verifybrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.9kAutomated safety check: PassCustom licence

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Works with

Questions about Rt Execution Bridge

What does Rt Execution Bridge do?

A skill your agent uses when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity. Rt Execution Bridge is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when an empirical analysis should be RUN and audited, not just advised — DiD, IV, RDD, synthetic control, DML, multiple-testing, sensitivity.

When should I use Rt Execution Bridge?

Rt Execution Bridge fits situations like: an empirical analysis should be RUN and audited; not just advised — DiD; synthetic control; multiple-testing.

How do I install Rt Execution Bridge in Claude Code?

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

How do I install Rt Execution Bridge in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rt-execution-bridge -a codex`. Or copy the skill folder (Research-Toolkit-Skills/skills/rt-execution-bridge in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/rt-execution-bridge in your project. Codex loads it when a task matches its description.

Can I use Rt Execution Bridge 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 rt-execution-bridge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rt-execution-bridge, .gemini/skills/rt-execution-bridge, .github/skills/rt-execution-bridge and .opencode/skills/rt-execution-bridge in your project.

What does Rt Execution Bridge need to run?

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

Does Rt Execution Bridge 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 Rt Execution Bridge 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 Rt Execution Bridge use?

Rt Execution Bridge 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 Rt Execution Bridge use?

About 709 tokens (SKILL.md is roughly 2.8k 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 Rt Execution Bridge?

Skills that share tags, products or a category with Rt Execution Bridge: Arxiv MCP Server (blazickjp/arxiv-mcp-server, 3.2k stars), Nature Academic Search (Tai609/NebulaMat, 100 stars), Fin Paper Writing (csmar432/finai-research, 109 stars) and Fin Ref Paper (csmar432/finai-research, 109 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rt Execution Bridge?

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.