Agent skill

Jbes Identification Strategy

by franklee16 in franklee16/academic-research-skills

A skill your agent uses when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte…

No licenceAuto-check passedData & Analytics

Install Jbes Identification Strategy

skills CLI
$ npx skills add franklee16/academic-research-skills --skill jbes-identification-strategy -a claude-code

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

GitHub CLI
$ gh skill install franklee16/academic-research-skills jbes-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/franklee16/academic-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Awesome-Journal-Skills-main/Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-identification-strategy .claude/skills/jbes-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
jbes-identification-strategy
GitHub stars
223
Used in
1 other repo
Token cost
~1k tokens
SKILL.md length
416 words
Files
1
Skills in repo
1,617
Repo updated
First seen
Licence
None found

At a glance

A skill your agent uses when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte…

  • Works in 5 steps: Identification of the target — the… → Regularity conditions — explicit (moment… → Asymptotic theory — consistency,… → …
  • The methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions
  • SKILL.md covers When to trigger, What "identification" means at…, Branch paths and Checklist, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Jbes Identification Strategy is an agent skill from franklee16/academic-research-skills. Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm. Stress-tests the method's validity, not a causal design.

Its SKILL.md is about 1k 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 Statistics and Load testing. The repository describes itself as: Comprehensive collection of Claude Code skills for academic research in economics, finance, and social sciences.

When your agent uses it

  • The methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions
  • Regularity conditions
  • Asymptotic theory
  • Monte Carlo design for a new estimator

Example prompts

  • “/jbes-identification-strategy”

Workflow steps

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

  1. Identification of the target — the parameter/functional is identified from the population moments the method uses, under stated conditions.
  2. Regularity conditions — explicit (moment existence, smoothness, mixing/dependence, rate and rank conditions), each motivated and as weak…
  3. Asymptotic theory — consistency, limiting distribution, convergence rate, and the asymptotic variance; uniformity if claimed.
  4. Finite-sample evidence — Monte Carlo on size, power, coverage, bias/RMSE across DGPs and sample sizes, including assumption-stressing…
  5. Method robustness — behavior under dependence, heavy tails, weak identification, high dimension, or misspecification, as the problem…

What it can do on your machine

Read from SKILL.md and the folder at commit 9a4b2db. 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

Jbes Identification Strategy loads about 1k tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 416 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 416 words (~1,031 tokens).

“At JBES the load-bearing question is usually not a causal-design story but whether the method delivers valid inference for its target under stated conditions. Because JBES demands methodological novelty with clear empirical relevance, the assumptions cannot be so strong that…”

— opening of SKILL.md by franklee16
name
jbes-identification-strategy

Read the full SKILL.md on GitHub

Files

Just SKILL.md in Awesome-Journal-Skills-main/Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-identification-strategy of franklee16/academic-research-skills.

Open the folder on GitHubat commit 9a4b2db

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in franklee16/academic-research-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Jbes 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.

Jbes Identification Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Jbes Identification Strategy this skillfranklee16/academic-research-skills2231 repos~1kAutomated safety check: PassNone
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Icml Experimentsbrycewang-stanford/Awesome-Journal-Skills1.2k—~843Automated safety check: PassMIT
Preregistering AnalysisK-Dense-AI/science-superpowers350—~3.3kAutomated safety check: PassCustom licence
Experiment Readoutmohitagw15856/pm-claude-skills1.4k—~1kAutomated safety check: PassMIT
Forecast Premortemnicepkg/ai-workflow285—~4.1kAutomated safety check: PassMIT

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Questions about Jbes Identification Strategy

What does Jbes Identification Strategy do?

A skill your agent uses when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte…. Jbes Identification Strategy is an agent skill from franklee16/academic-research-skills. Use when the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions, regularity conditions, asymptotic theory, and Monte Carlo design for a new estimator, test, or algorithm.

When should I use Jbes Identification Strategy?

Jbes Identification Strategy fits situations like: the methodological core of a Journal of Business & Economic Statistics (JBES) paper is the bottleneck — assumptions; regularity conditions; asymptotic theory; monte Carlo design for a new estimator.

How do I install Jbes Identification Strategy in Claude Code?

Run `npx skills add franklee16/academic-research-skills --skill jbes-identification-strategy -a claude-code`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-identification-strategy in franklee16/academic-research-skills) into .claude/skills/jbes-identification-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Jbes Identification Strategy in Codex?

Run `npx skills add franklee16/academic-research-skills --skill jbes-identification-strategy -a codex`. Or copy the skill folder (Awesome-Journal-Skills-main/Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-identification-strategy in franklee16/academic-research-skills) into .agents/skills/jbes-identification-strategy in your project. Codex loads it when a task matches its description.

Can I use Jbes 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 franklee16/academic-research-skills --skill jbes-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/jbes-identification-strategy, .gemini/skills/jbes-identification-strategy, .github/skills/jbes-identification-strategy and .opencode/skills/jbes-identification-strategy in your project.

What does Jbes Identification Strategy need to run?

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

Does Jbes 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 Jbes 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 Jbes Identification Strategy use?

No licence was found for Jbes Identification Strategy or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Jbes Identification Strategy use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Jbes Identification Strategy?

Skills that share tags, products or a category with Jbes Identification Strategy: Challenge (pedrohcgs/claude-code-my-workflow, 1.7k stars), Icml Experiments (brycewang-stanford/Awesome-Journal-Skills, 1.2k stars), Preregistering Analysis (K-Dense-AI/science-superpowers, 350 stars) and Experiment Readout (mohitagw15856/pm-claude-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Jbes Identification Strategy?

franklee16 (a GitHub user) maintains it in franklee16/academic-research-skills, which has 223 GitHub stars. The repository holds 1,617 skills in this directory. The repository was last updated on September 18, 2026.

Source: franklee16/academic-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.