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Convert a completed data-analysis conversation into evidence-backed, reproducible living research through the Krisk MCP server.
A skill your agent uses when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and…
Install Red Data Analysis
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-data-analysis -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-data-analysis --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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .claude/skills/red-data-analysis && 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 "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .claude/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysisType 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 red-data-analysis -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-data-analysis --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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .agents/skills/red-data-analysis && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .agents/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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 red-data-analysis -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-data-analysis --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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .cursor/skills/red-data-analysis && 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 "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .cursor/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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 Review-of-Economic-Dynamics-Skills/skills/red-data-analysis--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 red-data-analysis -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-data-analysis --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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .gemini/skills/red-data-analysis && 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 "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .gemini/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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 red-data-analysisInstalls 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 red-data-analysis -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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .github/skills/red-data-analysis && 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 "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .github/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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 red-data-analysis -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 red-data-analysis --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/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis .opencode/skills/red-data-analysis && 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 "red-data-analysis" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Review-of-Economic-Dynamics-Skills/skills/red-data-analysis into .opencode/skills/red-data-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "red-data-analysis", 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
red-data-analysis- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 645 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and…
- Auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration
- SKILL.md covers When to trigger, What RED-quality analysis…, Execution bridge (StatsPAI /… and Checklist, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Moment-matching
What it does
Red Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene that the RED code-first culture expects. Lighter on raw empirics for purely theoretical papers; focused on numerical examples and reproducible computation there.
Its SKILL.md is about 1.7k 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 Data & Analytics, covering Performance reviews and Data analysis. It works with Model Context Protocol. 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
- Auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration
- Moment-matching
- Structural estimation
- Numerical-solution discipline for dynamic models
Example prompts
- “/red-data-analysis”
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
Red Data Analysis loads about 1.7k tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 645 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). 645 words, ~1,712 tokens.
Download SKILL.mdSave it as
.claude/skills/red-data-analysis/SKILL.md (or your agent's skills folder).- name
- red-data-analysis
- description
- Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene that the RED code-first culture expects. Lighter on raw empirics for purely theoretical papers; focused on numerical examples and reproducible computation there.
Quantitative Analysis for RED (red-data-analysis)
When to trigger
- Calibrating or estimating a dynamic model and reporting model-vs-data fit
- Building the numerical experiments that carry a computational paper
- Making the computation reproducible ahead of the RED data/code archive
What RED-quality analysis looks like
RED is method-defined, so "data analysis" usually means disciplining a dynamic model, and for purely theoretical papers it is lighter — focus there on numerical examples and reproducible computation that illustrate the result rather than estimate it.
- Calibration — list every parameter, its value, its source/target, and whether it is calibrated, estimated, or assumed. Calibration targets should be explicit moments, not vibes.
- Moment-matching / estimation — report the targeted moments, the fit (model vs data), and untargeted moments the model also matches (a strong credibility signal). Document the estimator and its assumptions.
- Numerical solution discipline — state the solution method (perturbation, projection, global, EGM, sequence-space), the grid/approximation order, and an accuracy check (e.g., Euler-equation errors).
- Reproducible computation — fix and record random seeds, capture software/OS and package versions, and write a master "run-all" script. RED's readme requires execution order, expected runtime, and seeds, so build that discipline in from the start.
Execution bridge (StatsPAI / Stata MCP)
Run the battery, don't just enumerate it. Full map:
execution-with-mcp. RED is quantitative macro — mostly structural/calibration, which is outside this causal-inference toolchain; apply the chain to its empirical/reduced-form papers.
- Many outcomes / specifications:
romano_wolf(step-down FWER) orbenjamini_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 exactsuggest_functionfor each. - Exhibits:
etable/did_summary_to_latexfrom the handle — no retyped numbers.
Decisive checks in the body, exhaustive battery in the appendix. JF execution walkthrough.
Checklist
- Every parameter has a value and a documented source/target
- Targeted and untargeted moments reported; model-vs-data fit shown
- Solution method, approximation order, and an accuracy check are stated
- Seeds fixed/recorded; environment captured; a run-all script exists
Anti-patterns
- Reporting only the moments the model was calibrated to hit
- An undocumented numerical solution with no accuracy diagnostic
- Leaving seeds and environment uncaptured, so the archive will not reproduce
RED analysis table skeleton
Require a compact audit table before results are written:
| Item | RED-ready entry |
|---|---|
| Parameters | value, source/target, calibrated vs estimated vs assumed |
| Data moments | targeted moments plus untargeted validation moments |
| Solver | method, grid/order, convergence rule, accuracy diagnostic |
| Experiments | baseline, counterfactual, transition path, sensitivity |
| Archive | run-all command, seeds, software/OS, expected runtime |
This table can become a manuscript table, appendix table, or replication README section. If it cannot be filled, the quantitative core is not ready for RED.
Show full SKILL.md (227 more words)Show less
Illustrative calibration record (Aiyagari-style economy)
Both the paper and the archive should carry a calibration record in this shape (values illustrative):
Internally calibrated (chosen to hit model-generated targets):
beta = 0.957 target: K/Y = 2.9 (annual) model hits: 2.90
phi = -1.1 target: share with negative net worth = 13.5% model hits: 13.2%
Externally set (taken from outside estimates):
sigma = 2.0 CRRA; standard in the incomplete-markets literature (author-year)
rho_z = 0.91 AR(1) earnings persistence, PSID estimates (author-year)
Accuracy at this parameterization:
max log10 |Euler error| = -4.6, 200-pt log-spaced asset grid, a_max = 40x mean incomeSeparating internally calibrated from externally set parameters matters at RED: referees check whether each internal target is actually informative about its parameter, and whether external values are sourced rather than convenient.
Moment-fit objections and the RED-grade response
| Objection | Fix |
|---|---|
| "Targets are not independent of the moment you claim to explain" | re-calibrate with the headline moment excluded; report it as untargeted |
| "Fit shown only for targeted moments" | add an untargeted panel (wealth Gini, top shares, MPC distribution) |
| "No accuracy diagnostic at the headline solution" | Euler or den Haan errors at exactly that parameterization |
| "Grid and discretization undocumented" | state grid sizes, bounds, Rouwenhorst/Tauchen choice, and a grid-doubling stability check |
Minimum reproducible run
Before submission, maintain two runs:
- Smoke run: reduced grid or shorter simulation that completes quickly and verifies code paths.
- Publication run: full grid, full simulation length, final seeds, final moments, and final exhibits.
Both runs should write comparable output names and logs. If the smoke run and publication run disagree in qualitative direction, the numerical method needs diagnosis before the paper is ready. Record expected runtime for both because RED's readme requirement makes runtime part of the archive, not an afterthought.
Output format
[Analysis status] ready / missing moments / weak solver diagnostics / unreproducible
[Calibration/estimation] <targets, parameters, estimator>
[Numerical checks] <solver, accuracy, convergence, sensitivity>
[Archive readiness] run-all / seeds / OS / runtime / missing
[Next analysis] <single computation or table to repair>Supplementary resources
../../resources/external_tools.md— Dynare, SSJ, Julia/QuantEcon, FREDred-replication-and-data-policy— the archive these outputs feed
© 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 Review-of-Economic-Dynamics-Skills/skills/red-data-analysis of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Red Data Analysis 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 |
|---|---|---|---|---|---|---|
| Red Data Analysis this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Save Research Notebooknapjon/krisk | 118 | — | ~702 | Automated safety check: Pass | BSD-3-Clause | |
| Ktx AnalyticsKaelio/ktx | 1.6k | — | ~10k | Automated safety check: Pass | Apache-2.0 | |
| Jupyter Notebook BuilderKilo-Org/kilo-marketplace | 190 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Cao Workflowawslabs/cli-agent-orchestrator | 1.4k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| Bagofwordsbagofwords1/bagofwords | 458 | — | ~1.5k | Automated safety check: Pass | Custom licence |
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Questions about Red Data Analysis
What does Red Data Analysis do?
A skill your agent uses when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and…. Red Data Analysis is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration, moment-matching, structural estimation, and numerical-solution discipline for dynamic models, plus reproducible-computation hygiene that the RED code-first culture expects.
When should I use Red Data Analysis?
Red Data Analysis fits situations like: auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration; moment-matching; structural estimation; numerical-solution discipline for dynamic models.
How do I install Red Data Analysis in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-data-analysis -a claude-code`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/red-data-analysis in your project. Claude Code loads it when a task matches its description.
How do I install Red Data Analysis in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-data-analysis -a codex`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-data-analysis in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/red-data-analysis in your project. Codex loads it when a task matches its description.
Can I use Red Data Analysis 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 red-data-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/red-data-analysis, .gemini/skills/red-data-analysis, .github/skills/red-data-analysis and .opencode/skills/red-data-analysis in your project.
What does Red Data Analysis need to run?
SKILL.md names no scripts, command-line tools or credentials: Red Data Analysis is instructions for the agent only.
Does Red Data Analysis 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 Red Data Analysis 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 Red Data Analysis use?
Red Data Analysis 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 Red Data Analysis use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Red Data Analysis?
Skills that share tags, products or a category with Red Data Analysis: Save Research Notebook (napjon/krisk, 118 stars), Ktx Analytics (Kaelio/ktx, 1.6k stars), Jupyter Notebook Builder (Kilo-Org/kilo-marketplace, 190 stars) and Cao Workflow (awslabs/cli-agent-orchestrator, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Red Data Analysis?
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.