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Skills/research/Econ Writing Skill

Econ Writing Skill

STRONG · 84
Community indexed

Agent Skill that transforms AI assistants into expert economics paper writers. Synthesizes 50+ guides by Cochrane, McCloskey, Shapiro, Head, Bellemare, Goldin, Kremer. Compatible with Claude Code and OpenAI Codex.

Downloads0
Stars470
Version1.0.0
Quality100/100 · Excellent
Trust84/100 · Review then install
Audit93/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add hanlulong/econ-writing-skill

Maintenance

fresh

4d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

470

100/100 quality · 87/100 trust

Coverage tags

ResearchResearch agentseconomicswritingagent-skills

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
84

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
93

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonCodexClaude CodeCursorOpenAgentSkill CLI

Stars

470 GitHub stars

Repo activity

470 stars, 78 forks

Maintenance

4d since push

License

MIT

Install

npx skills add hanlulong/econ-writing-skill

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Search sources

Suited agents

PythonCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add hanlulong/econ-writing-skill
Policy
allow
Human review
no

Trust and risk

Trust
84/100
Audit
93/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add hanlulong/econ-writing-skill
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • No major trust warnings detected from available metadata
  • Production credentials, payments, or irreversible account changes without explicit human review

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Agent safety v2

85/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add hanlulong/econ-writing-skill

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Econ%20Writing%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Econ%20Writing%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/hanlulong-econ-writing-skill/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Econ Writing Skill in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Econ%20Writing%20Skill%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hanlulong-econ-writing-skill/install
Install command: npx skills add hanlulong/econ-writing-skill
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/hanlulong-econ-writing-skill/install

LLM text format

/api/skills/hanlulong-econ-writing-skill/install?format=text

Find alternatives

/api/skills/search?q=Econ%20Writing%20Skill&limit=3

Agent prompt

Use Econ Writing Skill for this task. Review https://www.openagentskill.com/api/skills/hanlulong-econ-writing-skill/install, then install with: npx skills add hanlulong/econ-writing-skill

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/hanlulong-econ-writing-skill

LLM text

/api/registry/manifest/hanlulong-econ-writing-skill?format=text

Install alias

/api/registry/install/hanlulong-econ-writing-skill

Recommend

/api/registry/recommend?task=Use%20Econ%20Writing%20Skill%20in%20an%20agent%20workflow&limit=3

Agent fit

99/100

Research agents

Use-case tags

Research agentsLocal desktopCoding agents

Platforms

Python, Claude Code, OpenAI Agents

Audit report

Safe to try · 93/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for Research agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

99
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Research agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Research agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Research agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

84
Trust score

GitHub adoption

INFO

470 GitHub stars

Stars/forks activity

INFO

470 stars, 78 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

4d since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
470
Freshness
4d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Operate local tools

Local desktop

I need my agent to operate local files and desktop apps in a repeatable workflow.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Stack fit

Add it to a complete workflow

Find, compare, and synthesize

Research report agent

A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Operate and verify web apps

Browser QA agent

A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Alternative shortlist

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Overview

# Econ Writing Skill

**An Agent Skill that transforms AI assistants into expert economics paper writers, synthesizing best practices from 50+ authoritative guides by Nobel laureates, Clark Medal winners, and leading economists.**

[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Agent Skills](https://img.shields.io/badge/Agent%20Skills-Compatible-green.svg)](https://agentskills.io) [![Claude Code](https://img.shields.io/badge/Claude%20Code-Ready-blueviolet.svg)](https://docs.anthropic.com/en/docs/claude-code) [![OpenAI Codex](https://img.shields.io/badge/OpenAI%20Codex-Ready-black.svg)](https://openai.com/index/codex/)

---

## What Is This?

Econ Writing Skill is an open-source [Agent Skill](https://agentskills.io) that gives AI coding assistants deep knowledge of how to write economics papers. It distills actionable advice from over 50 guides by John Cochrane, Deirdre McCloskey, Jesse Shapiro, Keith Head, Marc Bellemare, Claudia Goldin, Edward Glaeser, Michael Kremer, and many others into a single structured skill file. Compatible with the Agent Skills open standard, it works with Claude Code and OpenAI Codex out of the box.

---

## Key Features

### Writing & Structure

- **Works for all paper types** -- Applied empirical, pure theory, mixed theory-empirical, structural, and descriptive papers each get tailored structure and guidance - **Dedicated formulas for every major section** -- Abstract (4-part formula), Introduction (Head's formula), Model Section (Glaeser/Varian), Data Section, Conclusion (3-part formula), Title (with evaluation criteria) - **Identification strategy guidance** -- Specific writing advice for 13 strategies: RCT, DiD (including staggered), IV, RDD, Synthetic Control, Synthetic DiD, Bunching, Shift-Share/Bartik, Event Studies, ML for Causal Inference, Structural Estimation, Descriptive, plus guidance for papers using multiple strategies - **Theory paper support** -- Model presentation, proposition writing, a

Platform Compatibility

pythonFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/19/2026
Published
7/17/2026

Frameworks & Tools

Python

Decision snapshot

Primary pick

99
Ready
Adopt
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

93
Safe to try
Security
88/100
Maintenance
100/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Econ Writing Skill, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Econ Writing Skill gives coding agents a repeatable way to plan, patch, review, or ship.

470 stars

https://www.openagentskill.com/skills/hanlulong-econ-writing-skill?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Econ Writing Skill:
https://www.openagentskill.com/skills/hanlulong-econ-writing-skill?ref=x

Install: npx skills add hanlulong/econ-writing-skill
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
hanlulong
Source
hanlulong/econ-writing-skill
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to hanlulong but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/hanlulong-econ-writing-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/hanlulong-econ-writing-skill)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/hanlulong-econ-writing-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/hanlulong-econ-writing-skill)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/hanlulong-econ-writing-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/hanlulong-econ-writing-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/hanlulong-econ-writing-skill?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/hanlulong-econ-writing-skill)
Preview badge Open audit Creator Kit

Author

H

hanlulong✓

@hanlulong

Tags

economicswritingagent-skillsclaude-codeopenai-codex

Platform Fit

Claude CodeOpenAI Agents

Health Signals

GitHub stars
470
Quality score
63/100
Last GitHub push
Jul 16, 2026
Framework hints
1
OpenAgentSkill views
1
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

84
  • GitHub adoption470 GitHub starsINFO
  • Stars/forks activity470 stars, 78 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance4d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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