Agent skill

Red Identification Strategy

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

A skill your agent uses when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type.

MITAuto-check passedResearch & Science

Install Red Identification Strategy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-identification-strategy -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills red-identification-strategy --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/Review-of-Economic-Dynamics-Skills/skills/red-identification-strategy .claude/skills/red-identification-strategy && 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
red-identification-strategy
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
665 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type.

  • Making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible
  • SKILL.md covers When to trigger, Branch by paper type (RED…, Execution bridge (StatsPAI /… and Checklist, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Adapting to the paper type

What it does

Red Identification Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. For theoretical/computational papers it covers model assumptions, regularity conditions, and what disciplines the parameters; for empirical dynamic papers it covers causal design. RED's scope spans all three, so this skill branches accordingly.

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 Research & Science. 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

  • Making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible
  • Adapting to the paper type

Example prompts

  • “/red-identification-strategy”

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 Identification Strategy loads about 1.7k tokens when it runs. Until then it costs about 100 tokens; SKILL.md has 665 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~100
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 665 words, ~1,677 tokens.

Download SKILL.mdSave it as .claude/skills/red-identification-strategy/SKILL.md (or your agent's skills folder).
name
red-identification-strategy
description
Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. For theoretical/computational papers it covers model assumptions, regularity conditions, and what disciplines the parameters; for empirical dynamic papers it covers causal design. RED's scope spans all three, so this skill branches accordingly.

Identification & Model Logic for RED (red-identification-strategy)

When to trigger

  • Establishing why the paper's central claim is credible, before robustness
  • Unsure whether RED expects a causal-design argument or a model-assumptions argument
  • A computational paper where "identification" means parameter discipline, not instruments

Branch by paper type (RED takes all three)

Theoretical / computational dynamic models

The credibility question is about assumptions, existence, and discipline, not instruments:

  • State the model assumptions and regularity conditions explicitly (preferences, technology, stationarity, boundedness, transversality); flag where existence/uniqueness of equilibrium is proved or assumed.
  • Make proof exposition clean: state results as propositions, separate assumptions from claims, and put long proofs in an appendix while keeping the intuition in the body.
  • Show parameter discipline — which parameters are calibrated to data targets, which are estimated, and which are free; justify each so results are not an artifact of free parameters.
  • Discuss generality: what survives relaxing key assumptions, and where the result is knife-edge.
Methodological / computational-method papers
  • State the method's regularity conditions and where they bind; characterize accuracy and convergence of the numerical solution; report asymptotics where the method estimates parameters.
  • Provide Monte Carlo / numerical experiments that show the method works under known data-generating processes.
Empirical dynamic papers
  • Make the causal/identification design explicit (the source of variation, the exclusion logic, the dynamic structure being estimated — e.g., VAR identification, local projections, structural estimation).
  • Tie the empirical object back to what it disciplines in the dynamic model.

Execution bridge (StatsPAI / Stata MCP)

Estimate and audit the design, don't only describe 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.

  • detect_design → recommend → fit with as_handle=true → audit_result.
  • Observational causal claims: staggered DiD (callaway_santanna / sun_abraham + bacon_decomposition + honest_did_from_result); IV (effective_f_test + anderson_rubin_ci); RDD (rdrobust + mccrary_test).
  • Experiments: randomization-based inference + romano_wolf for many-outcome control.
  • Sensitivity: oster_delta / sensemakr for observational claims.

Report the magnitude in interpretable units; route the full battery to the appendix. A run end-to-end (synthetic data, real returns) is in the JF execution walkthrough.

Checklist

  • The right branch is chosen for the paper type
  • Assumptions/conditions (theory) or identifying variation (empirics) are explicit and defended
  • Parameter discipline is documented; results are not driven by undisciplined free parameters
  • Generality / accuracy / robustness of the core claim is characterized

Anti-patterns

  • Importing reduced-form "identification" language into a calibrated model where it does not apply
  • Hiding free parameters or equilibrium-existence gaps
  • Asserting generality without showing what relaxing the assumptions does
Show full SKILL.md (266 more words)Show less

Parameter-discipline table

For quantitative papers, create a table with one row per key parameter:

ParameterValueSource/targetFree or disciplined?Sensitivity shown?

Any parameter that is free and influential needs a sensitivity check or a narrower claim.

Model-solution audit block

For computational claims, attach an audit record so a referee can see what the numbers rest on:

text
SOLUTION AUDIT — [model name]
  Method:       EGM on the household problem; sequence-space Jacobian for GE transitions
  State space:  assets 250 pts (log-spaced); productivity 7-state Rouwenhorst
  Convergence:  policy-function sup-norm < 1e-9; market clearing < 1e-7
  Accuracy:     max log10 |Euler error| = -4.3 (off-grid simulation, 100k agents)
  Refinement:   headline counterfactual moves < 0.5% when grids are doubled
  Existence:    stationary-equilibrium existence proved/cited in Appendix A

Any blank line means the matching claim in the text should be weakened until the line can be filled.

Worked discipline review: a search-and-matching draft

A draft calibrates a Diamond–Mortensen–Pissarides economy and claims wage rigidity explains unemployment volatility. Illustrative review of its parameter discipline:

  • Matching elasticity 0.5, externally set from the literature — acceptable, but the volatility claim is sensitive to it, so a ±0.15 band belongs in the robustness section.
  • Replacement rate 0.71, internally calibrated to market tightness — a RED referee will notice this sits near the Hagedorn–Manovskii region where small match surplus generates volatility mechanically; report the result at a conventional 0.4 as well.
  • Rigidity parameter calibrated to the very volatility moment being explained — circular. Move that moment out of the target set, or downgrade "explains" to "is consistent with".

Credibility objections RED referees raise

ObjectionBranchFix
"A free parameter drives the result"quantitativesensitivity table or a narrower claim
"Equilibrium existence is assumed silently"theorystate it as an assumption or prove it
"Accuracy not stress-tested at the calibrated point"computationalEuler/den Haan check at exactly that parameterization
"The reduced-form estimate maps to no model object"empiricalname the structural parameter or moment the estimate disciplines

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

Just SKILL.md in Review-of-Economic-Dynamics-Skills/skills/red-identification-strategy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Red Identification Strategy 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.

Red Identification Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Red Identification Strategy this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
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Annotate Paper54yyyu/zotero-mcp5.3k—~1.5kAutomated safety check: PassMIT
Paper Searchopenags/paper-search-mcp2.8k—~1.2kAutomated safety check: NotesMIT
NSFC Literature Review WriterHuiyuLi-2000/Chinese-Grant-Writer-Skills4391 repos~1.4kAutomated safety check: NotesMIT
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Questions about Red Identification Strategy

What does Red Identification Strategy do?

A skill your agent uses when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type. Red Identification Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible, adapting to the paper type.

When should I use Red Identification Strategy?

Red Identification Strategy fits situations like: making the inferential backbone of a Review of Economic Dynamics (RED) manuscript credible; adapting to the paper type.

How do I install Red Identification Strategy in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-identification-strategy -a claude-code`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-identification-strategy in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/red-identification-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Red Identification Strategy in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill red-identification-strategy -a codex`. Or copy the skill folder (Review-of-Economic-Dynamics-Skills/skills/red-identification-strategy in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/red-identification-strategy in your project. Codex loads it when a task matches its description.

Can I use Red Identification Strategy 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-identification-strategy -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-identification-strategy, .gemini/skills/red-identification-strategy, .github/skills/red-identification-strategy and .opencode/skills/red-identification-strategy in your project.

What does Red Identification Strategy need to run?

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

Does Red Identification Strategy 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 Identification Strategy 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 Identification Strategy use?

Red Identification Strategy 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 Identification Strategy use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 Red Identification Strategy?

Skills that share tags, products or a category with Red Identification Strategy: Deep Research (jordan-gibbs/hyperresearch, 3.8k stars), Annotate Paper (54yyyu/zotero-mcp, 5.3k stars), Paper Search (openags/paper-search-mcp, 2.8k stars) and NSFC Literature Review Writer (HuiyuLi-2000/Chinese-Grant-Writer-Skills, 439 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Red Identification Strategy?

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.