claudecode-research-harness-workflow
Auditable, reproducible empirical research workflows from raw data to replication package
Gives the agent strict operating rules for empirical research: never modify raw data, never invent numbers, log every script run, document every merge, and stop instead of fabricating results when data is insufficient.
All Skills in This Repository (32)
Pure Emerald Level Indicatorssession-control
Apply /work --resume and --fork flags to update session state files.
ui
Generate accessible UI components like hero sections and contact forms.
session-state
Validate and apply session state transitions across workflow phase boundaries.
agent-browser
Automate browser navigation, form filling, and element verification via the agent-browser CLI.
workflow-guide
Formalize role assignments and handoff procedures for Cursor PM and Claude Code workflows.
research-harness-work
Execute approved analysis tasks by generating reproducible scripts and maintaining logs.
harness-loop
Coordinate long-running task loops with fresh context and controlled termination.
memory
Manages and queries SSOT memory and cross-tool recall for decisions, patterns, learnings.
harness-sync
Reconcile Plans.md with commits to surface implementation drift.
auth
Implement authentication and payments with Clerk, Supabase Auth, or Stripe.
ci
Diagnose CI/CD failures and output structured fix recommendations.
deploy
Automate deployment setup and health monitoring for Vercel or Netlify projects.
Frequently Asked Questions
FAQPage SchemaHow to install claudecode-research-harness-workflow?โผ
Run `npx skills add maxwell2732/claudecode-research-harness-workflow --all -g -y` in your terminal to install all skills globally.
What problem does the research harness solve?โผ
It stops agents from producing unverifiable research results by enforcing the rule: no script, no log, no claim. Every number in your paper must trace back to a runnable script and its log file.
How do I clean and merge survey data with this workflow?โผ
Place raw files in data/raw/, then run /research-harness-audit followed by /research-harness-clean. The agent writes reproducible cleaning scripts, logs every dropped row, and documents every merge with pre and post row counts.
Can it replicate a published paper's sample and variables?โผ
Yes. A dedicated mode extracts an analysis-ready subsample from raw survey panels matching a published paper's sample filters and variable definitions, and generates a codebook comparing your means against the paper's reported statistics.
Do I need coding experience to use this research workflow?โผ
No. You describe your study in plain language and approve each stage; the agent writes and runs the R, Stata, or Python scripts while enforcing reproducibility rules automatically.
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